docs(P3): marp deck + talking points + README + theme CSS + tests (REQ-245,251,252)

Marp deck (nova-autonomous-cloud-delivery-marp.md): synthesize from updated
source-of-truth; 18 main + 1 appendix slides; frontmatter — title 'Nova —
The Autonomous Cloud Delivery Platform', footer without version + without
'Act %{page}/5', title-slide subtitle 'Product Development & Citizen
Developer Overview'; no badges; embedded PNGs.

Talking points (nova-autonomous-cloud-delivery-talking-points.md):
re-distilled to 18-slide + A1 structure.

README.md: update deck title, audience, slide count (18 main + 1 appendix),
directory layout, remove badge docs, update deck table + render commands +
filenames. Document the v1.21 rename + restructure.

Theme CSS (nova-sp-theme.css): fix Appendix A1 table readability — tables
now have explicit white body + black text on any slide background
(including dark/title slides). Item 32.

Tests (test_slides_pipeline.py): add v1.21 assertions — no badges; no
version in footer/title slide; 18 main + 1 appendix slides; no D-###/REQ-
###/.py paths in audience-facing Marp deck or source slide body; old deck
files removed; render script default renamed; README references new deck
name. Update deck path in test_regression_cap023_024.py +
core/regression_verify.py CAP-024 (filename + 18-19 slide range, drop 'Arc
Preview' check per item 3).

attach_release_asset.py: usage example filename updated.

---ci---
project: acdl
phase: 3
milestone: v1.21
status: execute
phase_role: execution
---/ci---
This commit is contained in:
Jon Chery
2026-08-11 14:03:06 +00:00
parent 707a7dbe9b
commit 86e3db1fa8
8 changed files with 523 additions and 581 deletions
+9 -11
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@@ -593,32 +593,30 @@ def _check_cap_023_metrics_collector() -> Tuple[Status, str]:
def _check_cap_024_deck_structure() -> Tuple[Status, str]:
"""CAP-024: unified deck structure (v1.17).
"""CAP-024: unified deck structure (v1.17 + v1.21 refinement).
Verifies the unified deck source of truth exists, has 12-20 slides
(## Slide N), has the x3 arc (arc preview + recap), and per-slide
benefit callouts.
Verifies the unified deck source of truth exists, has 18 main slides
(## Slide N) + 1 appendix, has the recap+ask closing, and per-slide
benefit callouts. v1.21 renamed the deck + restructured to a 4-beat arc.
"""
import os
deck_path = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))),
"docs", "presentations", "nova-no-humans-platform.md")
"docs", "presentations", "nova-autonomous-cloud-delivery.md")
if not os.path.isfile(deck_path):
return "Skipped", "unified deck not found"
with open(deck_path) as f:
content = f.read()
slide_count = content.count("## Slide ")
if slide_count < 12 or slide_count > 20:
return "Broken", f"deck has {slide_count} slides (expected 12-20)"
has_arc_preview = "Arc Preview" in content
if slide_count < 18 or slide_count > 19:
return "Broken", f"deck has {slide_count} main slides (expected 18-19)"
has_recap = "Recap + Ask" in content
has_benefit = content.count("Benefit:") >= 10
if not (has_arc_preview and has_recap and has_benefit):
if not (has_recap and has_benefit):
missing = []
if not has_arc_preview: missing.append("arc preview")
if not has_recap: missing.append("recap+ask")
if not has_benefit: missing.append("per-slide benefit callouts")
return "Broken", f"deck missing: {missing}"
return "Verified", f"deck has {slide_count} slides, x3 arc present, per-slide benefits present"
return "Verified", f"deck has {slide_count} slides, recap+ask present, per-slide benefits present"
# Registry: ordered, each entry is (capability_id, name, tier, check_fn).
+69 -160
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@@ -13,17 +13,18 @@ every deck and a presenter-ready cue sheet for delivery.
```
Step 1: full markdown Step 2: Marp deck Step 3: HTML + PPTX Step 4: Talking points
(source of truth) ──► (lean, 10 slides) ──► (rendered) ──► (presenter cues)
(source of truth) ──► (lean, 19 slides) ──► (rendered) ──► (presenter cues)
*.md *-marp.md *.html / *.pptx *-talking-points.md
+ speaker notes + embedded PNG diagrams + 3-6 bullets per slide
+ mermaid code blocks + Marp frontmatter + key takeaway per slide
+ maturity badges + indexed by Marp slide #
+ no speaker notes + content distilled from Step 1
+ no speaker notes + indexed by Marp slide #
+ no maturity badges + content distilled from Step 1
+ no version in footer
```
### Step 1 — Full markdown (source of truth)
**File convention:** `<deck-name>.md` (e.g. `nova-no-humans-platform.md`).
**File convention:** `<deck-name>.md` (e.g. `nova-autonomous-cloud-delivery.md`).
Write the complete deck as a standard markdown file. This is the **source of
truth** — it contains:
@@ -34,9 +35,9 @@ truth** — it contains:
the "who cares and why," and the honesty caveats.
- Mermaid diagrams as ```` ```mermaid ```` fenced code blocks (these render
on GitHub/Pages but not in Marp — Step 2 converts them to images).
- An honest "shipped vs. planned" framing: every "available today" claim is
grounded in shipped/verified work; every "planned" item is explicitly
marked.
- An honest "shipped vs. deferred" framing: every "available today" claim is
grounded in shipped/verified work; every "deferred" item is explicitly
marked with the blocking work in plain language.
**Why this file is the source of truth:** it is reviewable in any markdown
viewer, diffs cleanly in git, and carries the full reasoning (speaker notes)
@@ -45,13 +46,13 @@ fact is wrong, fix it here and re-run Steps 2 and 3.
### Step 2 — Marp deck synthesis
**File convention:** `<deck-name>-marp.md` (e.g. `nova-no-humans-platform-marp.md`).
**File convention:** `<deck-name>-marp.md` (e.g. `nova-autonomous-cloud-delivery-marp.md`).
Synthesize the full markdown into a lean Marp deck:
- **Marp frontmatter** at the top: `marp: true`, `theme: default`,
- **Marp frontmatter** at the top: `marp: true`, `theme: nova-sp`,
`paginate: true`, `size: 16x9`, a header/footer, and an inline `style:`
block for fonts, colors, tables, badges.
block for fonts, colors, tables.
- **No speaker notes.** The Marp deck is what the audience sees; the
speaker notes live only in the Step 1 source of truth.
- **Mermaid diagrams → PNG images.** Marp does not render mermaid fenced
@@ -60,8 +61,10 @@ Synthesize the full markdown into a lean Marp deck:
and embed it with `![w:1000](assets/png/<name>.png)`.
- **`<!-- _class: title -->` + `<!-- _paginate: false -->`** on title and
closing slides for the dark-background title style.
- **Maturity badges** using inline spans:
`<span class="badge planned">Planned</span>`
- **No maturity badges.** The deck no longer uses `<span class="badge">`
spans. Deferred items are named in plain language with their blocking
work, not tagged with a badge.
- **No version in the footer.** The footer carries the deck title only.
- **Tighter prose** than Step 1 — strip the speaker-note nuance; keep the
leadership-relevant selling points.
@@ -69,10 +72,8 @@ Synthesize the full markdown into a lean Marp deck:
Both formats are derived from the Marp deck. **HTML is committed to the repo**
(viewable in any browser, self-contained with base64-embedded images). **PPTX
is uploaded to the release** as a downloadable attachment (binary, not
committed to git).
#### HTML export (committed to repo)
is also committed to the repo** as a first-class binary artifact and is
attached to the phase's release via `scripts/attach_release_asset.py`.
```bash
CHROME_PATH=/root/.cache/ms-playwright/chromium-1217/chrome-linux64/chrome \
@@ -81,135 +82,67 @@ CHROME_PATH=/root/.cache/ms-playwright/chromium-1217/chrome-linux64/chrome \
-o docs/presentations/<deck-name>.html
```
HTML export inlines images as base64 data URIs — no `--allow-local-files`
needed for self-contained output, but it's required when the Marp deck
references local PNG assets. The resulting HTML is a single self-contained
file that renders the full deck with the S&P Global Energy theme.
**Re-render the HTML whenever the Marp source changes.** The HTML files are
committed artifacts, not generated on-the-fly — they must be re-rendered and
re-committed when the Marp deck is updated.
#### PPTX export (uploaded to release)
```bash
CHROME_PATH=/root/.cache/ms-playwright/chromium-1217/chrome-linux64/chrome \
npx --yes @marp-team/marp-cli@latest --allow-local-files \
docs/presentations/<deck-name>-marp.md \
-o <output-path>.pptx
```
The `--allow-local-files` flag is **required** for PPTX export so the local
PNG diagrams are embedded in the file. As of v1.18 (REQ-228, D-141), PPTX
files **are committed to the repo** as first-class binary artifacts (no LFS)
and are also attached to the phase's release via
`scripts/attach_release_asset.py`. The render + commit + attach pipeline is
automated by `scripts/render_deck.sh`.
HTML export inlines images as base64 data URIs. PPTX export requires
`--allow-local-files` so the local PNG diagrams are embedded in the file.
The render + commit + attach pipeline is automated by `scripts/render_deck.sh`
and `scripts/render_slides.sh`.
### Step 4 — Talking points (presenter cues)
**File convention:** `<deck-name>-talking-points.md` (e.g.
`nova-no-humans-platform-talking-points.md`).
`nova-autonomous-cloud-delivery-talking-points.md`).
Distill the source of truth (Step 1) into presenter-ready cues, indexed by
the Marp deck (Step 2) slide structure:
- **One section per Marp slide** — `## Slide N — Title`, matching the Marp
deck's 11 main + Appendix TOC + appendix slide structure exactly. The Marp deck
provides the indexing and context (what the audience sees); the source
markdown provides the content (the speaker notes, the detail, the nuance).
deck's 18 main + 1 appendix slide structure exactly.
- **3-6 talking point bullets per slide** — punchy, actionable cues distilled
from the source markdown's speaker notes. NOT the speaker notes verbatim
(those are too long and too contextual). These are prompts: "Land this
point," "Contrast with X," "Be honest about Y."
from the source markdown's speaker notes.
- **Key takeaway per slide** — the one memorable thing the audience should
walk away with from that slide.
- **No content duplication** — the talking points reference the Marp slides
for visual context and the source markdown for full detail. They don't
repeat either; they bridge them.
**Why this file exists:** a presenter needs a cue sheet they can glance at
during delivery — not the full speaker notes (too long), not the Marp slides
(no detail). The talking points file is the middle layer: what to say, in
what order, with what emphasis, per slide.
**When to update:** re-distill the talking points whenever the Marp deck
structure changes (slides added, removed, merged, or re-ordered) or whenever
the source markdown's speaker notes are updated. The talking points are a
*derived artifact* — if a fact is wrong, fix it in the source markdown (Step 1)
and re-distill.
for visual context and the source markdown for full detail.
## Directory layout
```
docs/presentations/
├── README.md ← this file
├── nova-no-humans-platform.md ← Step 1: full source of truth (19 main slides + speaker notes)
├── nova-no-humans-platform-marp.md ← Step 2: Marp deck (19 main + 2 appendix = 21 slides)
├── nova-no-humans-platform.html ← Step 3: rendered HTML (committed, S&P-themed)
├── nova-no-humans-platform.pptx ← Step 3: rendered PPTX (committed, S&P-themed)
├── nova-no-humans-platform-talking-points.md ← Step 4: presenter cues (21 sections)
├── nova-autonomous-cloud-delivery.md ← Step 1: full source of truth (18 main slides + speaker notes)
├── nova-autonomous-cloud-delivery-marp.md ← Step 2: Marp deck (18 main + 1 appendix = 19 slides)
├── nova-autonomous-cloud-delivery.html ← Step 3: rendered HTML (committed, S&P-themed)
├── nova-autonomous-cloud-delivery.pptx ← Step 3: rendered PPTX (committed, S&P-themed)
├── nova-autonomous-cloud-delivery-talking-points.md ← Step 4: presenter cues (19 sections)
└── assets/
├── nova-sp-theme.css ← S&P Global Energy Marp theme (all slide chrome)
├── puppeteer-config.json ← no-sandbox config for mmdc
├── mmd/ ← mermaid source files (Step 2 input)
│ ├── sp-theme.json ← S&P Red/Black/White theme (mermaid-cli --configFile)
│ ├── platform-architecture.mmd
│ ├── road-to-north-star.mmd
│ └── ... (per-slide .mmd files)
└── png/ ← rendered mermaid PNGs (committed, S&P-themed)
└── png/ ← rendered PNGs (embedded in Marp)
├── platform-works-01-contract-driven.png
├── platform-works-02-frictions.png
├── platform-works-02-end-to-end-flow.png
├── platform-works-03-north-star.png
├── platform-works-03-scope-boundary.png
├── platform-works-04-confidence-signal.png
├── platform-works-05-attestation-flow.png
├── platform-works-07-zero-trust.png
├── developer-experience-01b-scope-boundary.png
├── developer-experience-02-what-dev-does.png
├── developer-experience-03-no-cloning.png
├── developer-experience-04-promotion-journey.png
├── developer-experience-05-catalog.png
├── developer-experience-07-decommission.png
├── developer-experience-08-semver.png
├── platform-architecture.png ← shared high-level logical architecture (both decks)
└── road-to-north-star.png
```
## Conventions
### Appendix structure
Each Marp deck has **11 main slides + an Appendix TOC + appendix slides**. The
main 11 are the presentation; the appendix is for deep dives and Q&A backup.
The platform-works deck has 8 appendix slides (A1A8); the developer-experience
deck has 7 appendix slides (A1A7). Both include an Appendix TOC slide.
Each Marp deck has **18 main slides + 1 appendix slide**. The main 18 are the
presentation; the appendix is for Q&A backup.
- **Main slides** (1-11): the story arc, high-impact, minimal text,
visual-heavy. These are what the audience sees during the talk.
- **Appendix slides** (TOC + A1..An): detail-heavy slides moved out of the
main 10 to preserve the narrative flow. The appendix starts with a TOC
slide listing the contents, followed by detail slides and a glossary.
- **The Road to the North Star** is a required appendix slide in both decks
— a phased timeline from v1.0 demo to the North Star, annotated as
"proposed phasing, not formally planned."
- **The Glossary** is a required appendix slide in both decks — defines
acronyms (OIDC, ABAC, CMK, CMDB, RPO, HITL, VCS, NFR) for the audience.
- **Main slides** (1-18): the story arc — Problem → Solution → Proof →
Roadmap + Ask. These are what the audience sees during the talk.
- **Appendix slide** (A1): the Metrics Glossary — detail-heavy reference for
Q&A.
### Maturity framing
### Honesty framing
Every capability claim in a deck is tagged with a `Planned` badge when the item is on the roadmap but not yet implemented:
| Badge | Meaning |
|---|---|
| `Planned` | On the roadmap, not yet implemented |
This is non-negotiable for a leadership audience: never present a roadmap
item as a current capability, and never bury a tested capability's
availability. When in doubt, check `.ciagent/ROADMAP.md` and the milestone
status in `.ciagent/PROJECT.md`.
Every capability claim in the deck is grounded, derived, or honestly
deferred with its blocking work named in plain language. Internal provenance
(decision IDs, requirement IDs, internal file paths) is kept out of the
audience-facing slides — those live in the `.ciagent/` files only. When in
doubt, check `.ciagent/ROADMAP.md` and the milestone status in
`.ciagent/PROJECT.md`.
### Audience
@@ -221,8 +154,10 @@ Head of Infrastructure, Head of DevOps. The framing rules:
"composition."
- **Selling points forward.** Each slide leads with the leadership-relevant
outcome; the mechanism follows.
- **Zero-trust, security, observability, auditability, DX, citizen
developer** are the themes — not implementation details.
- **Security, remediation velocity, reliability, lead time, observability,
citizen developer** are the themes — not implementation details.
- **"Infrastructure operations become visible"** is the recurring theme across
the deck.
### Diagrams
@@ -232,8 +167,7 @@ style (renders on GitHub/Pages). For the Marp deck (Step 2):
1. Extract the mermaid block into `assets/mmd/<deck>-<slide>-<name>.mmd`.
2. Use **horizontal layouts** (`flowchart LR`) or **subgraph row-wrapping**
for wide diagrams so the PNG fits a 16:9 slide without shrinking to
illegibility. A 9-node sequential `flowchart TD` renders as a tall thin
strip — restructure it as 2-row subgraphs or `flowchart LR`.
illegibility.
3. Render with a 2x scale factor and transparent background for crisp slides.
4. Embed with `![w:1000](assets/png/<name>.png)` (or `h:320` for tall images).
@@ -261,42 +195,16 @@ for f in mmd/*.mmd; do
done
```
The `puppeteer-config.json` passes `--no-sandbox` to the headless browser
(required when running as root in this environment). The `--configFile
mmd/sp-theme.json` applies the S&P Global Red/Black/White theme (dark
`#1B1B1B` accent nodes with `#D6002A` red borders, white supporting nodes,
`#F0F0F0` subgraph backgrounds). Each `.mmd` file also carries the same
theme inline via a `%%{init:...}%%` block so it renders correctly even
without the `--configFile` flag.
### Export a Marp deck to HTML (committed to repo)
### Render a Marp deck to HTML + PPTX (committed artifacts)
```bash
CHROME_PATH=/root/.cache/ms-playwright/chromium-1217/chrome-linux64/chrome \
npx --yes @marp-team/marp-cli@latest --allow-local-files \
docs/presentations/<deck-name>-marp.md \
-o docs/presentations/<deck-name>.html
bash scripts/render_slides.sh nova-autonomous-cloud-delivery
```
HTML export inlines images as base64 data URIs. The `--allow-local-files`
flag is needed when the Marp deck references local PNG assets (like the
diagram images in `assets/png/`). The resulting HTML is self-contained.
**The HTML files are committed artifacts** — re-render and re-commit whenever
the Marp source changes.
### Export a Marp deck to PPTX (uploaded to release)
```bash
CHROME_PATH=/root/.cache/ms-playwright/chromium-1217/chrome-linux64/chrome \
npx --yes @marp-team/marp-cli@latest --allow-local-files \
docs/presentations/<deck-name>-marp.md \
-o <output-path>.pptx
```
`--allow-local-files` is **required** for PPTX so local PNG diagrams are
embedded in the file. PPTX files are not committed to git — upload them as
attachments to the release.
This renders all mermaid PNGs, the HTML, and the PPTX, and stages them for
commit. The `--allow-local-files` flag is required so local PNG diagrams are
embedded. Both HTML and PPTX are committed to the repo; the PPTX is also
attached to the phase's release.
## Adding a new presentation
@@ -306,16 +214,14 @@ attachments to the release.
2. **Extract any mermaid diagrams** into `assets/mmd/<deck-name>-<slide>-<name>.mmd`
and render them to `assets/png/` (command above).
3. **Synthesize the Marp deck** as `<deck-name>-marp.md` with frontmatter,
no speaker notes, embedded PNGs, and maturity badges.
4. **Render to HTML** with `--allow-local-files` and commit the HTML to
`docs/presentations/<deck-name>.html`.
5. **Render to PPTX** with `--allow-local-files` and upload to the release
release (do not commit PPTX to git).
6. **Distill the talking points** as `<deck-name>-talking-points.md` — one
no speaker notes, embedded PNGs, and no badges.
4. **Render to HTML + PPTX** via `scripts/render_slides.sh <deck-name>` and
commit both to `docs/presentations/`.
5. **Distill the talking points** as `<deck-name>-talking-points.md` — one
section per Marp slide, 3-6 talking point bullets + key takeaway, content
distilled from the source markdown (Step 1), indexed by the Marp deck
(Step 2) slide structure.
7. **Verify** the PPTX slide count and that media files are embedded:
6. **Verify** the PPTX slide count and that media files are embedded:
```bash
python3 -c "
import zipfile, re
@@ -330,11 +236,14 @@ attachments to the release.
| Deck | Source of truth (Step 1) | Marp deck (Step 2) | Rendered HTML + PPTX (Step 3) | Talking points (Step 4) | Slides | Audience |
|---|---|---|---|---|---|---|
| Nova — The No-Humans Infrastructure Platform | `nova-no-humans-platform.md` | `nova-no-humans-platform-marp.md` | `nova-no-humans-platform.html` + `.pptx` (committed + release-attached) | `nova-no-humans-platform-talking-points.md` | 19 main + 2 appendix (21) | CTO, Head of Cloud, Head of Infra, Head of DevOps |
| Nova — The Autonomous Cloud Delivery Platform | `nova-autonomous-cloud-delivery.md` | `nova-autonomous-cloud-delivery-marp.md` | `nova-autonomous-cloud-delivery.html` + `.pptx` (committed + release-attached) | `nova-autonomous-cloud-delivery-talking-points.md` | 18 main + 1 appendix (19) | CTO, Head of Cloud, Head of Infra, Head of DevOps |
> **v1.18 (D-130):** the two legacy decks (How the Platform Works + The
> Developer Experience) were consolidated into a single unified narrative
> deck with a 5-act arc (Problem → Vision → How → Proof → Roadmap). v1.18
> (REQ-226) adds 3 slides (17 Scope, 18 RACI, 19 Atelier) → 21 total. The
> S&P Global Energy theme is restored (REQ-214, P1). PPTX is committed to
> git + attached to the release (REQ-228, D-141).
> **v1.21:** the deck was renamed from "No-Humans Infrastructure Platform"
> to "Autonomous Cloud Delivery Platform" (professional framing; conveys
> autonomy without the provocative wording). The narrative restructured to
> a 4-beat arc (Problem → Solution → Proof → Roadmap + Ask). Internal
> provenance (decision IDs, requirement IDs, file paths) removed from
> audience-facing slides. Maturity badges removed. The RACI matrix expanded
> to four roles (Quality Engineering + SRE). The Atelier slide split into
> two. The pipeline hardened: Checkov on static code before the plan;
> Wiz-or-Checkov on the plan (never both).
+7 -3
View File
@@ -40,10 +40,14 @@ section.title {
section.title h1 { color: var(--sp-white); }
section.title h2 { color: var(--sp-white); }
/* Tables — grey header with red underline */
table { font-size: 18px; width: 100%; border-collapse: collapse; }
/* Tables — grey header with red underline, explicit white body for readability on any background */
table { font-size: 18px; width: 100%; border-collapse: collapse; background: var(--sp-white); }
th { background: var(--sp-grey); border-bottom: 2px solid var(--sp-red); padding: 6px 10px; text-align: left; }
td { border-bottom: 1px solid var(--sp-grey); padding: 6px 10px; }
td { background: var(--sp-white); color: var(--sp-black); border-bottom: 1px solid var(--sp-grey); padding: 6px 10px; }
/* Ensure tables on dark/title slides remain readable: white card with a subtle border */
section.title table, section table { background: var(--sp-white); }
section.title td, section td { background: var(--sp-white); color: var(--sp-black); }
section.title th, section th { background: var(--sp-grey); color: var(--sp-black); }
/* Blockquotes — red left border */
blockquote { border-left: 4px solid var(--sp-red); color: var(--sp-dark-grey); font-size: 20px; padding-left: 12px; }
@@ -3,331 +3,303 @@ marp: true
theme: nova-sp
paginate: true
size: 16x9
header: 'Nova — The No-Humans Infrastructure Platform'
footer: 'Act %{page}/5 — v1.20'
header: 'Nova — The Autonomous Cloud Delivery Platform'
footer: 'Nova — The Autonomous Cloud Delivery Platform'
---
<!-- _class: title -->
<!-- _paginate: false -->
# Nova — The No-Humans Infrastructure Platform
# Nova — The Autonomous Cloud Delivery Platform
**Shifting from Operational Overhead to Strategic Value**
v1.18 — Citizen Developer & Production-Grade Guidance
Product Development & Citizen Developer Overview
---
## Slide 1 — Arc Preview
## Slide 1 — The Problem
**This deck proves Nova is the no-humans infrastructure platform — and shows you the metrics that make the claim defensible.**
**Product teams now own their cloud infrastructure — but ownership without discipline is destroying value.**
**Today:** 18 capabilities verified, 0 consumer estates in production.
- **No lifecycle planning.** Resources are authored for creation, not for patching, decommissioning, or rollback — so changes are destructive.
- **Proactive scanning is not part of authoring.** AI-frontier models exploit zero-days at a rapid pace; teams cannot keep up by reacting. Modules must be scanned as code and at runtime — and remediated at the pace the threat moves.
- **Bandwidth gaps in infrastructure operations.** Time spent on remediation + the push for innovation leaves operations chronically under-resourced; detections are missed, incidents grow.
- **Tribal knowledge and the rockstar-operator problem.** Operations depend on a handful of administrators; when they leave, the knowledge leaves with them. The platform should encode the discipline, not the person.
**The 5-act arc:**
1. **Problem** — why the operator is the bottleneck
2. **Vision** — Nova's strategic direction (NORTH_STAR)
3. **How** — the pipeline, Decision Ledger, attestation gates
4. **Proof** — grounded metrics that make the claim defensible
5. **Roadmap** — deferred metrics with unblock paths + the ask + scope + RACI
Every hour a developer spends writing, deploying, fixing, or remediating infrastructure is an hour not spent releasing features to production.
**Benefit:** you leave knowing which claims are proven today, which are pipeline-ready, and which are deferred with a documented unblock path — no marketing, just grounded evidence.
**Benefit:** the answer is an autonomous cloud delivery platform that encodes discipline as policy, scans proactively, remediates rapidly, and makes operations visible to leadership rather than hidden in tribal knowledge.
---
## Slide 2 — The No-Humans Imperative
## Slide 2 — Nova's Vision
**Why the operator is the bottleneck — and why removing them from operations (not accountability) is the imperative.**
> **Infrastructure operations become visible. Every environment provisioned, every incident healed, every risk remediated — by an autonomous system whose trustworthiness is provable, not promised. Human attestation remains required at stage gates; the operator is never in the loop of normal operations.**
- **The cost of humans-in-the-loop:** L1/L2 ops hours, escalation latency, the trust gap
- **The operator is the bottleneck:** provisioning takes days, not minutes
- **The attestation model:** autonomy in operations, human at stage gates
- Cites `docs/NO_HUMANS_THESIS.md`
- **Visibility is the recurring theme** — security posture, remediation velocity, reliability, and lead time as queryable signals
- **Provable, not promised** — trust established by deterministic scripts that calculate a score; the platform functions without AI
- **Autonomy in operations, human at stage gates** — QA signs off for production; SRE greenlights operational readiness
**Benefit:** you now know the problem framing — autonomy in operations, human at stage gates, is the path forward.
**Benefit:** the destination is autonomous operations with provable trust — security, remediation velocity, reliability, and lead time made visible to leadership, not promised to them.
---
## Slide 3 — Nova's Vision
> **Infrastructure operations become invisible. Every environment provisioned, every incident healed, every risk remediated — by an autonomous system whose trustworthiness is provable, not promised. Human attestation remains required at stage gates — QA signs off for production, SRE greenlights based on operational readiness — but the operator is never in the loop of normal operations.**
- Autonomy in operations, not in accountability
- Cites `docs/NO_HUMANS_THESIS.md`
**Benefit:** you now know the destination — invisible operations with provable trust, not promised trust.
---
## Slide 4 — Strategic Objectives + Anti-Goals
## Slide 3 — Strategic Objectives + Anti-Goals
**4 Strategic Objectives:**
1. **Zero-touch operations** — autonomy as the default, not the demo
2. **Provable trust in AI decisions** — Decision Ledger, confidence scoring, circuit breakers
3. **Compounding, quantifiable ROI**each quarter must reduce spend, free hours, avoid downtime
4. **Default substrate for agentic consumption** — the platform AI agents reach for first
1. **Zero-touch operations** — autonomy as the default, not the demo; stage-gate attestation (QA, SRE) remains human by design
2. **Provable trust in automated decisions** deterministic scripts calculate a score; the platform functions without AI; Decision Ledger, confidence scoring, circuit breakers, blast-radius controls
3. **Compounding, quantifiable ROI**four CTO-grade metrics, all flowing into PowerBI:
- **Lead Time** (PR → Production) · **Infrastructure Vulnerability Count** (trend) · **MTTR** · **Cloud Spend Reduction**
4. **Integrate with externally owned development platforms — regardless of source** — PDLC, SDLC, Agentic, or Citizen Developer; Nova provides skills + MCP endpoints; all prod intents go through the same controls and quality gates
**5 Anti-Goals (what Nova is NOT):**
1. Not a hyperscaler competitor
2. Not a general-purpose AI platform
3. Not removing humans from accountability
4. Not for legacy, untagged, or freeform infrastructure
5. Not sold to operators
**4 Anti-Goals (what Nova is NOT):**
1. Not a general-purpose AI agent platform
2. Not a system that removes humans from accountability — only from normal operations
3. Not an upstream development platform (no product backlogs, IDE, code authorship)
4. Not a replacement for the Product Development Lifecycle (PDLC)
**Benefit:** you now know the scope boundaries — Nova is purpose-built for infrastructure operations, sold to leadership on outcomes.
**Benefit:** the scope is explicit — Nova governs infrastructure and delivery, integrates with any upstream source through one validated contract, and measures success on four metrics a CTO can repeat back.
---
## Slide 51218 Month Targets
## Slide 4Scope: Downstream of PDLC
**Current-milestone targets (grounded/derived):**
**Nova governs infrastructure and delivery. The PDLC is upstream — Nova never penetrates it. Integration is through one validated contract.**
| Domain | Target | Status |
|---|---|---|
| MTTR (p95) | < 60s | grounded |
| Cloud Spend Reduction | ≥ 25% | partial (CUR deferred D-096) |
| L1/L2 Ops Hours Avoided | ≥ 70% | derived (N internal runs) |
| Platform ROI | ≥ 250% | derived (formula; N=0 caveat) |
| Decision Ledger Coverage | 100% | grounded |
| Attestation Coverage | 100% | grounded |
- **The PDLC is upstream:** product backlog, code authorship (AI agent, IDE, agentic SDLC), sprint planning, application business logic
- **Nova is downstream:** contract ingestion → submission-readiness gate → policy enforcement → cloud resource lifecycle → environment progression (dev → qa → prod → dr) → immutable audit + attestation
- **The integration point is one contract** — any upstream source (AI agent, agentic SDLC, dev platform) produces submissions subject to the same compliance standards
- **Nova validates the submission, not the author** — the audit trail, the policy envelope, and the evidence stream are the same regardless of source
**Post-Pilot targets (pipeline grounded; 0 consumers today):**
**Benefit:** a clean scope boundary — Nova is purpose-built for infrastructure operations and integrates with any upstream source through one validated contract, so the platform team's surface area stays bounded.
| Domain | Target | Status |
|---|---|---|
| Touchless Resolution Rate | ≥ 99% | partial |
| Human Escalation Frequency | < 0.1% | partial |
| AI Decision Accuracy | ≥ 99.5% | partial |
---
**Deferred:** Predictive vs Reactive ≥3:1 <span class="badge planned">Planned</span> · Drift Auto-Reversal ≥95% <span class="badge planned">Planned</span>
## Slide 5 — RACI: Who Owns What
**Benefit:** you now know the destination numbers — and which are measurable today vs deferred honestly.
**Four roles, one matrix — citizen developer owns FRs + UAT, platform owns NFRs + infra, quality engineering owns the gate evidence, SRE owns operational readiness.**
| Work Category | Citizen Dev | Platform | Quality Eng | SRE |
|---|---|---|---|---|
| Functional Requirements | **R/A** | C | I | I |
| User Acceptance Testing | **R/A** | C | I | I |
| Non-Functional Requirements | I | **R/A** | C | C |
| Infrastructure (cloud, state, IAM) | I | **R/A** | I | C |
| QA (policy, confidence, schema) | C | R | **R/A** | I |
| Production deployment to cloud | I | **R/A** | C | C |
| Quality attestation (QA sign-off) | **A** | R | **R** | I |
| Production readiness (SRE sign-off) | **A** | R | C | **R** |
**R**=Responsible · **A**=Accountable (sign-off) · **C**=Consulted · **I**=Informed. Production readiness is co-owned: the platform runs attestations agentically; the citizen developer authorizes the promotion at the stage gate.
**Benefit:** every party knows what they bring, what the platform provides, what quality engineering guards, and where SRE signs off — accountability is explicit, never diffuse.
---
## Slide 6 — The Platform Pipeline
**How intent becomes verified infrastructure without an operator.**
**How intent becomes verified infrastructure — fail-fast policy scanning before the plan, runtime scanning after it.**
Contract → Resolver → Adapter → Terraform Plan → Checkov (Policy) → Confidence Signal → HITL Gate → Apply → Evidence
![w:1000](assets/png/platform-pipeline.png)
- Dev: autonomous (no HITL gate)
- qa/prod/dr: attested (human sign-off required)
- Grounded in `run_platform.sh` + `contract_resolver.py` + `confidence_signal.py`
- **Contract → resolver → adapter → Checkov on static code (before plan) → terraform plan → Wiz on the plan → confidence signal → stage gate → apply → evidence + ledger**
- **Fail-fast, quick feedback** — Checkov runs on the authored Terraform code before `terraform plan` so developers get immediate policy feedback
- **Wiz on the plan when configured; Checkov as a drop-in otherwise** — Wiz scans the plan output; when Wiz credentials are absent, Checkov runs against the plan. **Wiz and Checkov are never both run on the plan.**
- **Dev is autonomous** (no stage gate); **qa/prod/dr require human attestation** (QA for quality, SRE for production readiness)
**Benefit:** you now know the path from intent to evidence — and where the human appears (stage gates only).
**Benefit:** two layers of scanning, zero operator involvement in normal operations — fast deterministic feedback at authoring time and a runtime scan on the resolved plan.
---
## Slide 7 — The Decision Ledger
**Every AI decision captured with confidence, alternatives, and outcome.**
**Every automated decision is captured, immutable, queryable — and accountable.**
- `outbox_writer.py` → SQLite append-only hash-chain table
- `ai.decision.made`: decision_id=run_id, chosen_action=band, confidence=score, alternatives=perInput, human_override=HITL block
- `attestation.recorded`: qa/prod/dr sign-offs
- D-121, D-122, D-132. Honors D-083 (no S3 Object Lock/JWS — local hash-chain)
- **What is captured:** the chosen action, the confidence score, the alternatives considered, whether a human overrode it, and the outcome (backfilled once the apply completes). Every stage-gate attestation (QA, SRE) is captured with approver identity and the evidence presented.
- **"AI decisions" are really automated decisions** — made by deterministic scripts that calculate a score and a band; the platform functions without AI. When an LLM planner is added later, it will emit richer alternatives without breaking the schema.
- **The value is accountability, not the storage engine** — the ledger is append-only and tamper-evident; every decision is queryable for auditing, traceable to an outcome, and impossible to rewrite after the fact.
**D-122 honesty:** Nova's "AI" is the confidence-gated policy engine (confidence_signal + HITL gate), not an LLM planner. The Decision Ledger captures this real decision path — not a fabricated "AI agent."
**Benefit:** you now know why 'autonomous' is defensible — every decision is immutable, queryable, and accountable. And you know exactly what 'AI' means here: a confidence-gated policy engine, not a black-box LLM.
**Benefit:** "autonomous" is defensible because every decision is immutable, queryable, and accountable — and the audience knows exactly what "automated" means here: deterministic scoring, not a black-box LLM.
---
## Slide 8 — The 8-Concern Attestation Matrix
## Slide 8 — The Attestation Matrix
**Designed controls that keep humans at stage gates.**
**The designed controls that keep humans at stage gates — structured, freshness-validated, separation-of-duties-enforced.**
| Concern | Env | Freshness | Type |
|---------|-----|-----------|------|
| functional_correctness | qa | 24h | operator-supplied |
| performance_baseline | qa | 7d | operator-supplied |
| security_posture | qa | 24h | operator-supplied |
| operational_readiness | prod | 30d | operator-supplied |
| incident_response | prod | 90d | operator-supplied |
| capacity_cost | prod | 30d | operator-supplied |
| resilience_dr_drill | prod | 180d | operator-supplied |
| dr_region_deploy | dr | 180d | operator-supplied |
| Concern | Env | Freshness | Description |
|---------|-----|-----------|-------------|
| Functional correctness | qa | 24h | The application behaves as specified; evidence accepted from the consumer's UAT. |
| Performance baseline | qa | 7d | The deployment meets its performance envelope vs. the agreed baseline. |
| Security posture | qa | 24h | The deployment's security findings have been reviewed and accepted. |
| Operational readiness | prod | 30d | SRE confirms the deployment is operable: runbooks, dashboards, on-call. |
| Incident response | prod | 90d | The on-call path has been exercised; a working incident-response plan exists. |
| Capacity & cost | prod | 30d | Capacity headroom and monthly cost are within the agreed envelope. |
| Resilience: DR drill | prod | 180d | A DR drill has been run and recovery met the RTO. |
| Resilience: chaos | prod | 90d | A chaos exercise has been run and the deployment absorbed the failure. |
| Resilience: backup | prod | 30d | Backups are restorable and tested within the freshness window. |
| DR region deploy | dr | 180d | The DR region can be deployed and is reachable. |
- Offline-testable concerns run for real; operator-supplied concerns accept signed evidence
- Separation-of-duties on prod
- Grounded in `attestation_matrix.py` + `hitl_gates.py`
Separation-of-duties on prod: the approver cannot be the same person who built the deployment.
**Benefit:** you now know the gate model — autonomy in operations, human in accountability, by design.
**Benefit:** the gate model is explicit — autonomy in operations, human in accountability, by design. The matrix is what makes autonomous operations safe enough to trust in production.
---
## Slide 9 — Telemetry Architecture
## Slide 9 — Telemetry & Live Ops
**How Nova instruments itself — CloudEvents envelope, cold store, PowerBI export.**
**Every metric in this deck is traceable to a real emitted signal — the live-ops dashboard makes operations visible in PowerBI.**
Platform → CloudEvents 1.0 → `metrics/events.jsonl` + `metrics/decision_ledger.db` + `metrics/runs/` → Collector → `metrics/nova_metrics.db` (SQLite cold store) → `metrics/powerbi/` (CSV/JSON) → PowerBI
![w:900](assets/png/telemetry-live-ops.png)
- D-120 (Nova-native), D-125 (hybrid), D-126 (cold-only)
- <span class="badge planned">Planned</span>: Hot-path (live ops dashboard) — D-126
- **Platform components → CloudEvents envelope → event log + decision ledger + run records → collector → cold store → PowerBI views → live ops dashboard**
- **The live ops dashboard (PowerBI)** surfaces the four CTO-grade metrics (Lead Time, Vulnerability Count, MTTR, Cloud Spend) alongside trust metrics (Decision Ledger coverage, Attestation coverage) and efficiency metrics (touchless resolution, escalation frequency)
- **Deliberately minimal** — Nova-native envelopes; no Kafka, no Prometheus, no ClickHouse. The cold store handles batch and historical analysis; the live-ops surface is built in PowerBI on the exported views
- **Every number is traceable to a signal** — when a CFO asks "where does this number come from?", the answer is a query against the cold store, not a Slack thread
**Benefit:** you now know that every metric in this deck is traceable to a real emitted event — the architecture IS the trust substrate. When a CFO asks 'where does this number come from?', the answer is a file path, not a Slack thread.
**Benefit:** the architecture is the trust substrate — leadership sees the same numbers the platform produces, in PowerBI, with full traceability. Operations become visible.
---
## Slide 10 — Capability Health + Confidence Distribution
## Slide 10 — Decision Ledger + Attestation Coverage
**Grounded proof: capability health and confidence distribution from real runs.**
**By design, no change reaches production without a ledger entry and a human attestation — both queryable for auditing, with full traceability.**
| Status | Count |
|--------|-------|
| Verified | 18 |
| Skipped | 4 |
| Broken | 0 |
| Decayed | 0 |
- **Decision Ledger coverage: 100%** — every platform run emits a decision record with outcome backfill; no automated decision is ever lost
- **Attestation coverage: 100%** — every prod/dr promotion is attested by a human (QA for quality, SRE for production readiness), recorded with approver identity, separation-of-duties check, and the evidence matrix
- **No change to production without both** — the ledger entry and the human attestation are mandatory, enforced by the pipeline, not by policy
- **Easily queried for auditing** — queryable by run, by environment, by approver, and by outcome; the audit trail is a query, not a forensic exercise
- **Full traceability** — a production change is traceable from the contract that declared intent, through the policy scan, the confidence score, the attestation, to the applied outcome
- 4 Skipped = live-AWS caps (CAP-013..016), honestly skipped (D-096 teardown), not a failure
- Source: `.ciagent/REGRESSION_REPORT.json`
**Benefit:** you now know the platform is verified — 18 capabilities pass, 4 are honestly skipped, 0 broken.
**Benefit:** trust is provable — not a marketing claim, a queryable record. An auditor answers "who approved this, when, on what evidence?" in one query; a CTO answers "how many of last quarter's prod changes were touchless?" in one query.
---
## Slide 11 — Decision Ledger + Attestation Coverage
## Slide 11 — Cost & ROI
**Trust metrics — both 100%.**
**The ROI formula and the cost estimates — grounded, with the production denominator honestly flagged.**
- **Decision Ledger Coverage:** 100% of platform runs emit `ai.decision.made` with outcome backfill
- **Attestation Coverage:** 100% of prod/dr promotions attested by a human
- **AI Decision Accuracy:** decisions not followed by apply.failed/incident within 5min
- Trust snapshot: `metrics/TRUST_SNAPSHOT.md` with chain-integrity verdict
- <span class="badge planned">Planned</span>: Tamper-Evident Ledger Checkpoints (D-083)
- **Cost estimates are pre-apply and offline** — the platform reads the terraform plan and estimates cost before anything is applied; a cost regression is caught before the spend happens
- **The ROI formula:**
`Platform ROI = (FTE hours saved × blended rate + cloud savings + avoided downtime) ÷ platform op cost`
- **The four CTO-grade metrics are the ROI proof:** Lead Time (PR → Prod), Infrastructure Vulnerability Count (trend), MTTR, Cloud Spend Reduction — all flow into PowerBI
- **Honest caveat:** derived metrics are computed on internal runs today; the production-denominator activates when a pilot estate runs. The formula is grounded; the production numbers are not yet.
**Benefit:** you now know the trust is provable — not a marketing claim, a queryable record.
**Benefit:** the ROI is not a black box — the formula is shown, the four metrics are committed, and the production-denominator caveat is stated up front. The CFO sees exactly what is real today and what activates with a pilot.
---
## Slide 12 — Zero-Touch Efficiency
## Slide 12 — What's Deferred — and Why
**Touchless resolution, human escalation, and MTTR.**
**Honesty about what is not measured yet — and the blocking work for each.**
- **Touchless Resolution Rate:** runs without operational HITL block ÷ total (attestation gates excluded)
- **Human Escalation Frequency:** operational HITL blocks only (confidence-driven; attestation sign-offs excluded)
- **MTTR (platform-run):** apply.failed → successful retry (D-131)
To be clear: these deferrals are *measurement infrastructure*, not the autonomy itself. The platform runs without an operator in the loop of normal operations. What is deferred is the evidence pipeline for certain metrics — not the autonomy.
**Post-Pilot caveat:** computed on N internal runs today; production-denominator activates when a pilot estate runs.
| # | Deferred metric | Blocking work |
|---|-----------------|---------------|
| 1 | Live infrastructure health | Live AWS re-provisioning (currently torn down to zero-cost steady state) |
| 2 | Live outbox write rate | Live AWS re-provisioning |
| 3 | Tamper-evident ledger checkpoints | Audit-ledger build-out (Object Lock + signed checkpoints) |
| 4 | Onboarding funnel (requested → granted) | Auto-grant implementation |
| 5 | Drift auto-reversal | Drift-detection scheduler (not yet built) |
| 6 | Live cost reconciliation | Live AWS re-provisioning + actual-spend feed |
| 7 | SLA / unplanned downtime | Live AWS re-provisioning |
| 8 | Predictive vs reactive ratio | ML anomaly-forecasting service (not yet built) |
**Benefit:** you now know the zero-touch efficiency is measurable — the pipeline works today on internal runs, and the denominator expands to production estates when a pilot activates.
**Benefit:** the boundaries are explicit — what Nova measures today, and exactly what blocks the rest. The autonomy is real; the measurement gaps are documented with the work that unblocks each one.
---
## Slide 13 — Cost & ROI
## Slide 13 — Roadmap to the North Star
**Cost estimates and the ROI formula — with honest caveats.**
**The path from the grounded metrics to the 1218 month targets — each deferred metric has an unblock path and a timeframe.**
- **Cost Estimates via Infracost:** pre-apply, grounded (reads plan JSON, offline)
- **ROI formula:** `Platform ROI = (FTE hours saved × blended rate + cloud savings + avoided downtime) ÷ platform op cost`
- **N=0 caveat:** "Computed on N internal runs today; production-denominator activates post-pilot. The formula is grounded; the production numbers are not yet."
- <span class="badge planned">Planned</span>: Live CUR Reconciliation (D-096)
| Timeframe | Work | Unblocks |
|-----------|------|----------|
| Near-term | Live AWS re-provisioning | Live infra health, outbox write rate, live cost reconciliation, SLA |
| Near-term | Auto-grant implementation | Onboarding funnel (requested → granted) |
| Mid-term | Drift-detection scheduler | Drift auto-reversal |
| Mid-term | Audit-ledger build-out (Object Lock + signed checkpoints) | Tamper-evident ledger checkpoints |
| Mid-term | Hot-path activation (batch → near-real-time) | Live-ops dashboard freshness |
| Longer-term | ML anomaly-forecasting service | Predictive vs reactive ratio |
**Benefit:** you now know the ROI formula — and you know it's computed on internal runs today, not fabricated production numbers.
Re-evaluation triggers: each blocking piece of work lifts on its own schedule; the metrics layer evolves as each one lands.
**Benefit:** every deferred metric has an unblock path — nothing is hand-waved; everything has a plan and a timeframe.
---
## Slide 14 — What's Deferred — and Why
## Slide 14 — 12-Month Product Roadmap
**Honesty about what isn't measured yet.**
**The product arc from pilot activation to integration — four quarters, four outcomes.**
**To be clear:** these deferrals are *measurement infrastructure*, not whether the platform runs without humans. The platform IS autonomous in operations. What's deferred is the *evidence pipeline* for certain metrics — not the autonomy itself.
| Quarter | Theme | Board-level outcome |
|---------|-------|---------------------|
| **Q1** | Pilot Activation | Nova runs a real customer estate end-to-end, autonomously, with a measurable zero-touch rate. |
| **Q2** | Provable Trust | Every automated decision lands in a tamper-evident ledger; the CFO sees real cloud-spend reconciliation. |
| **Q3** | Compounding ROI | Quarter-over-quarter cloud spend drops; drift is detected and reversed without a human. |
| **Q4** | Integration & Predictive | AI agents deploy through Nova by default; the ML anomaly-forecasting service goes live. |
| # | Deferred Metric | Blocking Decision |
|---|----------------|-------------------|
| 1 | Live Infrastructure Health | D-096 |
| 2 | Live Outbox Write Rate | D-096 |
| 3 | Tamper-Evident Ledger Checkpoints | D-083 |
| 4 | Onboarding Funnel (granted) | D-113/D-114/D-119 |
| 5 | Drift Auto-Reversal | D-096 + no scheduler |
| 6 | Live CUR Reconciliation | D-096 |
| 7 | SLA / Unplanned Downtime | D-096 |
| 8 | Predictive vs Reactive | future emitter |
Grounded in the four strategic objectives (autonomy, provable trust, ROI, integration) and the deferred-metric unblock paths.
**Benefit:** you now know the boundaries — what Nova measures today, and exactly what blocks the rest. The autonomy is real; the measurement gaps are documented.
**Benefit:** the 12-month product arc — each quarter activates a strategic objective and its corresponding board-level metric, from pilot activation through integration leadership.
---
## Slide 15 — Roadmap to the North Star
## Slide 15 — Quarter-by-Quarter Outcomes
**The path from v1.17's grounded metrics to the 1218 month targets.**
| Quarter | Product theme | Key deliverable | Target metric | Grounding |
|---------|---------------|-----------------|---------------|-----------|
| **Q1** | Pilot Activation | Re-provision live AWS; activate first pilot estate; onboarding auto-grant | Touchless ≥ 99% · Escalation < 0.1% · Accuracy ≥ 99.5% | Objective #1 — autonomy as the default |
| **Q2** | Provable Trust | Tamper-evident ledger (Object Lock + signed checkpoints); daily checkpoints; live cost reconciliation | Decision Ledger Coverage 100% · Cost Savings ≥ 25% | Objective #2 — trust is the moat |
| **Q3** | Compounding ROI + Drift | Drift-detection scheduler; auto-reversal; pre-apply → actual-spend reconciliation on the pilot estate | Drift Auto-Reversal ≥ 95% · Spend Reduction ≥ 25% | Objective #3 — CFO-pointable numbers |
| **Q4** | Integration + Predictive | ML anomaly-forecasting; AI-agent intent surface; multi-cloud (Azure/GCP) preview | Predictive:Reactive ≥ 3:1 · AI-Agent Intent Share (first measurement) | Objective #4 — default substrate for agents |
- Each deferred metric → blocking decision → unblock requirement → candidate milestone
- Hot-path activation (post-D-096, Nova-native only, D-120)
- Re-evaluation triggers: D-096 lift, D-083 lift, onboarding-grant lift
**Month-18 destination:** *"Nova is the layer enterprise leadership points to when they say 'we don't have an infrastructure ops team anymore, and the audit trail is stronger than it ever was.'"*
From `docs/METRICS_DEFERRED_ROADMAP.md`.
**Benefit:** you now know the path — every deferred metric has an unblock requirement and a candidate milestone. Nothing is hand-waved; everything has a plan.
**Benefit:** each quarter has a concrete deliverable, a target metric grounded in a strategic objective, and a path from "honestly deferred" to "shipped and measured."
---
## Slide 16 — Recap + Ask
## Slide 16 — Production-Grade Guidance via Atelier (1/2)
**The 5-act recap + the business decision.**
**Nova instructs the citizen developer's AI agent on production-grade engineering — a set of skills and an MCP server.**
- **Skills** — markdown files keyed to production-grade engineering domains (API, security, data, testing, observability, errors, DevOps, infrastructure-as-code, compliance); the skills extend the baseline catalog with Nova-specific production-grade principles
- **MCP server** — a plugin-registry, stdio server exposing four tools: `lookup_principle`, `list_domains`, `matrix_lookup`, `validate_against_principles`. The developer's AI agent (or any agentic SDLC platform) calls these tools to look up the principles that apply to its submission
- **The integration point is the same regardless of source** — whether the submission comes from an AI coding agent, an agentic SDLC platform, or a traditional IDE, the same skills and MCP server apply. This is how Nova makes the citizen developer production-grade without owning the PDLC
**Benefit:** the citizen developer's AI agent is not unguided — Nova provides production-grade engineering principles as skills and as an MCP surface, so submissions arrive at the contract boundary already aligned with the platform's standards.
---
## Slide 17 — Production-Grade Guidance via Atelier (2/2)
**Agentic validation catches engineering-discipline gaps that deterministic scanners miss — and the validation is reproducible.**
- **Beyond deterministic scanners** — Wiz, Checkmarx, and Mend check policy and secrets; they do not check engineering discipline. The Atelier MCP server catches correctness, clarity, and observability gaps that deterministic tools cannot: "is this service observable?", "is this error path handled?", "is this API contract clear?"
- **Agentic validation, not a second policy engine** — the MCP server gives the AI agent the principles to validate against; the agent does the validation. The agent reasons about the submission against the principles, not a second static scan
- **Vendored for audit reproducibility** — Atelier is vendored at a pinned tag. A validation result is replayable against the exact principles that produced it, so an audit can reproduce a validation months later, not just trust a log line
**Benefit:** the citizen developer's submission is checked for engineering discipline, not just policy compliance — and the check is reproducible for audit. That is what makes the submission production-grade, regardless of which upstream platform produced it.
---
## Slide 18 — Recap + Ask
**The 4-beat recap + the business decision.**
**Recap:**
- **Problem:** operator is the bottleneck; autonomy in operations, human at stage gates
- **Vision:** invisible operations with provable trust (NORTH_STAR)
- **How:** pipeline + Decision Ledger + 8-concern attestation matrix
- **Proof:** 18V+4S, 100% ledger coverage, 100% attestation, grounded ROI formula
- **Roadmap:** deferred metrics have unblock paths
- **Problem:** product teams own infrastructure without the discipline and lifecycle planning it requires; bandwidth gaps and tribal knowledge leave operations exposed
- **Solution:** autonomous cloud delivery — operations become visible, trust is provable (deterministic scoring), humans at stage gates
- **Proof:** 100% ledger coverage, 100% attestation coverage, grounded ROI formula, four CTO-grade metrics flowing into PowerBI
- **Roadmap:** deferred metrics have unblock paths; the 12-month product arc activates one strategic objective per quarter
**The ask:** "Approve a pilot estate to activate the production-denominator metrics (Touchless Resolution, Human Escalation, AI Decision Accuracy), and approve the tamper-evident ledger build-out (D-083 lift) to move from local hash-chain to S3 Object Lock + JWS. These two decisions move Nova from 'pipeline-ready' to 'production-proven.'"
**The ask:** "Approve a pilot estate to activate the production-denominator metrics (Lead Time, Vulnerability Count, MTTR, Cloud Spend), and approve the tamper-evident ledger build-out to move from the local hash-chain to S3 Object Lock + signed checkpoints. These two decisions move Nova from 'pipeline-ready' to 'production-proven.'"
**Benefit:** you leave with a clear business decision to make — approve a pilot + the ledger build-out — and the confidence that every claim in this deck is grounded, derived, or honestly deferred.
---
## Slide 17 — Scope: Downstream of PDLC
**Nova governs infrastructure + delivery. The PDLC (product backlog, code authorship, IDE) is upstream — Nova never penetrates it.**
- **The PDLC is upstream:** product backlog, code authorship (AI agent / IDE / agentic SDLC), sprint planning, application business logic
- **Nova is downstream:** contract ingestion → submission-readiness gate → policy → cloud lifecycle → environment progression → audit + attestation
- **Integration is only through the contract boundary:** the citizen developer's AI coding agent, an upstream agentic SDLC, or any dev platform may all produce submissions — the source does not matter as all are subject to the same compliance standards
- Nova validates the submission, not the author
- Cites `docs/scope.md` + `PROJECT.md` § Scope
**Benefit:** you now know the scope boundary — Nova is purpose-built for infrastructure operations, not product development; integration is through one validated contract.
---
## Slide 18 — RACI: Who Owns What
**Three roles, one matrix — the citizen developer owns FRs + UAT, the platform owns NFRs + infra + QA + prod deploy, release management is co-owned.**
| Work Category | Citizen Dev | Platform | Release Mgmt |
|---|---|---|---|
| Functional Requirements (FRs) | **R/A** | C | I |
| User Acceptance Testing (UAT) | **R/A** | C | I |
| Non-Functional Requirements (NFRs) | I | **R/A** | C |
| Infrastructure (cloud, state, IAM) | I | **R/A** | C |
| QA (policy, confidence, schema) | C | **R/A** | I |
| Production deployment to cloud | I | **R/A** | C |
| Release attestation (QA + SRE) | **A** | R | **R** |
- **Compliance-standard equivalence:** FRs + UAT may come from any upstream source (AI agent, agentic SDLC, dev platform) — all pass the same submission-readiness gate
- **Release co-ownership:** the platform runs the attestations agentically; the citizen developer oversees and triggers the actual release (human at the stage gate)
- Cites `docs/raci.md` + `PROJECT.md` § RACI Matrix
**Benefit:** you now know exactly what you bring (FRs + UAT), what Nova provides (NFRs + infra + QA + prod deploy), and what you co-own (the release attestation).
---
## Slide 19 — Production-Grade Guidance via Atelier
**Nova instructs the citizen developer's AI agent on production-grade engineering — skills + an MCP server with agentic validation beyond deterministic scanners.**
- **Skills (9):** markdown files under `skills/` keyed to Atelier domain paths (api, security, data, testing, observability, errors, devops, infrastructure-as-code, compliance) — extending the BA.A 5-skill catalog
- **MCP server:** `mcp/atelier/server.py` (plugin-registry, stdio) — 4 tools: `lookup_principle`, `list_domains`, `matrix_lookup`, `validate_against_principles`
- **Agentic validation:** catches C1 correctness + C2 clarity + C7 observability gaps that Wiz/Checkmarx/Mend cannot — deterministic tools check policy/secrets; the MCP server checks engineering discipline
- **Vendored Atelier** (pinned tag v0.3.6): audit reproducibility — a validation result is replayable against the exact principles that produced it
- Cites `docs/skills.md` + `mcp/atelier/README.md`
**Benefit:** you now know the citizen developer is not unguided — Nova provides production-grade engineering principles via skills + an MCP server, so the AI agent's submissions meet the same standards regardless of upstream source.
**Benefit:** a clear business decision — approve a pilot and the ledger build-out — with the confidence that every claim in this deck is grounded, derived, or honestly deferred.
---
@@ -338,66 +310,18 @@ From `docs/METRICS_DEFERRED_ROADMAP.md`.
| KPI | Definition | Status |
|-----|-----------|--------|
| Touchless Resolution Rate | runs without operational HITL block ÷ total | partial (Post-Pilot) |
| Human Escalation Frequency | operational HITL blocks ÷ total | partial (Post-Pilot) |
| AI Decision Accuracy | decisions not followed by failure within 5min | partial (Post-Pilot) |
| Touchless Resolution Rate | runs without operational stage-gate block ÷ total | partial (Post-Pilot) |
| Human Escalation Frequency | operational stage-gate blocks ÷ total | partial (Post-Pilot) |
| Automated Decision Accuracy | decisions not followed by failure within 5min | partial (Post-Pilot) |
| MTTR (p95) | apply.failed → successful retry | grounded |
| Confidence-Gate Halt Rate | runs with band=block ÷ total | grounded |
| Provisioning Lead Time | run.completed run.started | grounded |
| Deployment Frequency | count(run.completed) per day | grounded |
| Cost Savings (Infracost) | sum(delta_usd where delta < 0) | partial (CUR deferred) |
| Cost Savings (pre-apply) | sum(delta_usd where delta < 0) | partial (live reconciliation deferred) |
| FTE Hours Saved | run count × manual baseline × rate | derived (N=0 caveat) |
| Platform ROI | (labor + cloud + avoided downtime) ÷ op cost | derived (N=0 caveat) |
| Decision Ledger Coverage | decisions with outcome ÷ total | grounded |
| Attestation Coverage | prod/dr attested ÷ total prod/dr | grounded |
| Policy Compliance Rate | 1 failed_assets ÷ total | grounded |
---
<!-- _class: title -->
<!-- _paginate: false -->
## Appendix A2 — Operating Model & Cost
- **Cost figures** from `COST.md`: $0.001883 over 8 days, ~$0.007/month, S3-dominated, zero BAU compute
- **Zero-cost steady state:** all resources torn down post-v1.11 (D-096); the platform runs offline
- References the pre-mortem (`PRE_MORTEM.md`: v1.10 decay root cause + structural mitigations)
**Benefit:** you now know the operating cost is negligible — and the structural mitigation that prevents decay.
---
<!-- _class: title -->
<!-- _paginate: false -->
## Slide 20 — 12-Month Product Roadmap
**The product arc from pilot activation to agentic substrate — four quarters, four outcomes.**
| Quarter | Theme | Board-level outcome |
|---------|-------|---------------------|
| **Q1** | <span class="badge planned">Pilot Activation</span> | Nova runs a real customer estate end-to-end, autonomously, with a measurable zero-touch rate |
| **Q2** | <span class="badge planned">Provable Trust</span> | Every AI decision lands in a tamper-evident ledger; CFO sees real cloud-spend reconciliation |
| **Q3** | <span class="badge planned">Compounding ROI</span> | Quarter-over-quarter cloud spend drops; drift is detected and reversed without a human |
| **Q4** | <span class="badge planned">Agentic Substrate</span> | AI agents deploy through Nova by default; Nova is the substrate, not a vendor arriving late |
**Grounded in:** the 4 strategic objectives (autonomy, provable trust, ROI, agentic substrate) + the deferred-metric unblock paths.
**Benefit:** you now know the 12-month product arc — each quarter activates a strategic objective and its corresponding board-level metric, from pilot activation through agentic substrate leadership.
---
<!-- _class: title -->
<!-- _paginate: false -->
## Slide 21 — Quarter-by-Quarter Outcomes
| Quarter | Product theme | Key deliverable | Target metric | Grounding |
|---------|--------------|-----------------|---------------|-----------|
| **Q1** | Pilot Activation | Re-provision live AWS; activate first pilot estate; onboarding auto-grant | Touchless Resolution ≥ 99% · Escalation < 0.1% · AI Accuracy ≥ 99.5% | Strategic Objective #1 — autonomy as the default |
| **Q2** | Provable Trust | Tamper-evident ledger (Object Lock + JWS); daily checkpoints; live cost reconciliation (CUR) | Decision Ledger Coverage 100% · Cost Savings ≥ 25% | Strategic Objective #2 — trust is the moat |
| **Q3** | Compounding ROI + Drift | Drift detection scheduler; auto-reversal; Infracost→CUR reconciliation on pilot estate | Drift Auto-Reversal ≥ 95% · Spend Reduction ≥ 25% | Strategic Objective #3 — CFO-pointable numbers |
| **Q4** | Agentic Substrate + Predictive | ML anomaly-forecasting; AI-agent intent surface; multi-cloud (Azure/GCP) preview | Predictive:Reactive ≥ 3:1 · AI-Agent Intent Share ≥ 40% (first measurement) | Strategic Objective #4 — default substrate for agents |
**Month-18 destination:** *"Nova is the layer enterprise leadership points to when they say 'we don't have an infrastructure ops team anymore, and the audit trail is stronger than it ever was.'"*
**Benefit:** you now know the quarter-by-quarter detail — each quarter has a concrete deliverable, a target metric grounded in a strategic objective, and a path from "honestly deferred" to "shipped and measured."
**Benefit:** a reference for every metric mentioned in the deck.
@@ -1,164 +1,129 @@
# Nova — The No-Humans Infrastructure Platform: Talking Points
# Nova — The Autonomous Cloud Delivery Platform: Talking Points
> Step 4 of the 4-step deck process. Presenter cues distilled from the
> source of truth (`nova-no-humans-platform.md`). 3-6 bullets per slide
> + key takeaway. Indexed by Marp slide #.
> v1.17 — REQ-196, REQ-197
> source of truth (`nova-autonomous-cloud-delivery.md`). 3-6 bullets per
> slide + key takeaway. Indexed by Marp slide #.
> v1.21 — REQ-245
---
### Slide 1 — Arc Preview
- Open with the stake line: "18 capabilities verified, 0 consumer estates in production"
- Preview the 5-act arc so the audience knows the structure
- Set the honesty frame: "this is an evidence deck, not a hype deck"
- **Key takeaway:** you'll leave knowing what's proven, what's pipeline-ready, and what's deferred
### Slide 1 — The Problem
- Open with the shift: "you build it, you run it" put Terraform into product teams — ownership without discipline is destroying value
- Land the lifecycle-planning gap: resources authored for creation, not for patching/rollback → destructive changes
- Land the urgency: AI-era 0-day pace demands proactive scanning as code + at runtime, remediated at threat pace
- Call out tribal knowledge / the rockstar-operator problem — the platform should encode the discipline, not the person
- Do NOT frame this as "humans are the problem" — the problem is ownership without the discipline and tooling
- **Key takeaway:** the problem is infrastructure ownership without discipline; the answer is an autonomous platform that encodes the discipline
### Slide 2 — The No-Humans Imperative
- The operator is the bottleneck: days vs. minutes for provisioning
- Key reframing: "no-humans" = no human in normal operations; stage-gate attestation is human by design
- Cite the no-humans thesis doc
- **Key takeaway:** autonomy in operations, human at stage gates
### Slide 2 — Nova's Vision
- Read the vision verbatim — "infrastructure operations become visible" is the operative phrase
- Emphasize "provable, not promised" — trust established by deterministic scripts; the platform functions without AI
- State the attestation model up front: QA for production, SRE for operational readiness
- **Key takeaway:** autonomous operations with provable trust — security, remediation velocity, reliability, lead time made visible, not promised
### Slide 3 — Nova's Vision
- Read the vision statement verbatim — it's precise
- Emphasize "provable, not promised" — the difference between marketing and defensible
- State the attestation model up front to prevent mishearing
- **Key takeaway:** invisible operations with provable trust
### Slide 3 — Strategic Objectives + Anti-Goals
- Objective #2 is the one to land carefully: trust = deterministic scoring, not an LLM; the platform functions without AI
- Objective #3: four CTO-grade metrics (Lead Time, Vuln Count, MTTR, Spend) — all flow into PowerBI
- Objective #4 is the integration thesis: Nova integrates with any upstream source; provides skills + MCP; all prod intents go through the same controls
- Anti-goals #3 and #4 protect the scope: not an upstream dev platform, not a PDLC replacement
- **Key takeaway:** purpose-built for infra ops, integrates with any source through one contract, measures success on four CTO metrics
### Slide 4 — Strategic Objectives + Anti-Goals
- The 4 objectives are the "what"; the 5 anti-goals are the "what NOT"
- Anti-goal #3 (not removing humans from accountability) reinforces slide 3
- Anti-goal #5 (not sold to operators) explains why this deck is for leadership
- **Key takeaway:** purpose-built for infra ops, sold to leadership on outcomes
### Slide 4 — Scope: Downstream of PDLC
- Nova governs infra + delivery only; the PDLC (backlog, code authorship, IDE) is upstream — Nova never penetrates it
- Integration is only through the validated contract boundary
- Any upstream source (AI agent, agentic SDLC, dev platform) produces submissions subject to the same compliance standards
- Nova validates the submission, not the author
- **Key takeaway:** Nova is purpose-built for infrastructure operations; the scope boundary is clean and bounded
### Slide 5 — 1218 Month Targets
- The three-section split (current / post-pilot / deferred) IS the honesty model
- "Partial" means the pipeline works but the denominator is zero (0 consumers)
- The Post-Pilot targets are committed; the numbers fill when a pilot runs
- **Key takeaway:** which numbers are real today vs. deferred honestly
### Slide 5 — RACI: Who Owns What
- Four roles now: Citizen Developer, Platform, Quality Engineering, SRE
- Quality attestation is owned by Quality Engineering (not the Platform); Production readiness is owned by SRE
- The Platform runs the checks agentically but is never the Accountable party for the gate — that separation keeps the platform honest
- Production readiness is co-owned: the platform runs attestations; the citizen developer authorizes the promotion at the stage gate
- **Key takeaway:** you bring FRs + UAT; Nova provides NFRs + infra; QE guards the gate evidence; SRE signs off on production readiness
### Slide 6 — The Platform Pipeline
- Walk the pipeline left-to-right: contract → resolver → adapter → plan → policy → confidence → gate → apply
- Key insight: dev is autonomous; qa/prod/dr require attestation
- The confidence signal is the "AI" — 6-input weighted score, not an LLM
- **Key takeaway:** the path from intent to evidence, with humans at stage gates only
- Walk the pipeline left-to-right: contract → resolver → adapter → Checkov (static) → plan → Wiz (on plan) → confidence → gate → apply
- Two-stage scan: Checkov on static code BEFORE the plan (fail-fast dev feedback); Wiz on the plan (or Checkov as drop-in if no Wiz creds)
- Never both Wiz + Checkov on the plan — avoid duplicate noise
- Dev is autonomous; qa/prod/dr require attestation (QA for quality, SRE for production readiness)
- **Key takeaway:** two layers of scanning, zero operator involvement in normal operations
### Slide 7 — The Decision Ledger
- The D-122 honesty sentence is critical: "Nova's AI is the confidence-gated policy engine, not an LLM"
- The ledger is the moat: features can be copied, an immutable decision history cannot
- Every decision has outcome backfill from apply.completed
- **Key takeaway:** autonomous is defensible because every decision is immutable, queryable, accountable
- "AI decisions" are really automated decisions — deterministic scripts calculate a score; the platform functions without AI
- Do not dwell on the storage substrate — the value is accountability (immutable, queryable, traceable to outcome), not the database
- Every stage-gate attestation is captured with approver identity and the evidence presented
- When an LLM planner is added later, it emits richer alternatives without breaking the schema
- **Key takeaway:** autonomous is defensible because every decision is immutable, queryable, accountable — and "automated" means deterministic scoring, not a black-box LLM
### Slide 8 — The 8-Concern Attestation Matrix
- The matrix is not a rubber stamp — it's structured, freshness-validated, SoD-enforced
- Offline-testable concerns run for real; operator-supplied concerns accept signed evidence
### Slide 8 — The Attestation Matrix
- The matrix is not a rubber stamp — structured, freshness-validated, separation-of-duties-enforced
- Each concern now has a plain-language description of what is being attested (the old "operator-supplied" label is gone)
- SoD on prod: the approver can't be the same person who built it
- **Key takeaway:** autonomy in operations, human in accountability, by design
- **Key takeaway:** autonomy in operations, human in accountability, by design — the matrix is what makes autonomous operations safe enough to trust in production
### Slide 9 — Telemetry Architecture
- Deliberately minimal (Nova-native, no Kafka/Prometheus/ClickHouse)
- Every number in the Proof act is traceable to a file path
- The hot path is deferred (D-126) — cold store is sufficient for batch
- **Key takeaway:** the architecture IS the trust substrate — "where does this number come from?" → file path
### Slide 9 — Telemetry & Live Ops
- Deliberately minimal: Nova-native CloudEvents; no Kafka/Prometheus/ClickHouse
- The live-ops dashboard is built in PowerBI on top of the exported views — leadership sees the same numbers the platform produces
- Every number in the Proof slides is traceable to a signal — "where does this number come from?" → a query against the cold store
- This is where the "infrastructure operations become visible" theme lands concretely
- **Key takeaway:** the architecture is the trust substrate — operations become visible in PowerBI, with full traceability
### Slide 10 — Capability Health
- 18V+4S is the single most important proof point
- The 4 Skipped are live-AWS caps — honestly skipped (D-096), not broken
- When live AWS is re-provisioned, they reactivate
- **Key takeaway:** the platform works, and we're honest about what we can't test
### Slide 10 — Decision Ledger + Attestation Coverage
- Both 100% — no automated decision is ever lost; no prod/dr promotion lands without a human sign-off
- The mandatory-by-design point: the ledger entry + the human attestation are a gate, not a best-effort feature
- Easily queried: by run, by environment, by approver, by outcome — the audit trail is a query, not a forensic exercise
- **Key takeaway:** trust is provable — not a marketing claim, a queryable record; no change to production without both the ledger entry and the human attestation
### Slide 11 — Decision Ledger + Attestation Coverage
- Both 100% — no AI decision is ever lost; no prod/dr promotion lands without a human sign-off
- The trust snapshot has a chain-integrity verdict (the ledger hasn't been tampered with)
- D-083 (S3 Object Lock + JWS) is the next step for the ledger
- **Key takeaway:** trust is provable — not a marketing claim, a queryable record
### Slide 12 — Zero-Touch Efficiency
- The Post-Pilot caveat is the honesty model: pipeline works, denominator is zero
- This is NOT a fabricated "99% touchless" claim
- The numbers fill when a pilot runs
- **Key takeaway:** the measurement works; the numbers activate with a pilot
### Slide 13 — Cost & ROI
### Slide 11 — Cost & ROI
- The ROI formula is shown inline — not hidden in a footnote
- The N=0 caveat is stated explicitly
- This is the "no fabrication" constraint in action
- **Key takeaway:** the formula is ready; the production denominator activates with a pilot
- The four CTO-grade metrics are the ROI proof — Lead Time, Vuln Count, MTTR, Cloud Spend
- The N=0 caveat is stated explicitly: the formula is grounded; the production numbers activate with a pilot
- **Key takeaway:** the ROI is not a black box — the formula is shown, the four metrics are committed, the production-denominator caveat is up front
### Slide 14 — What's Deferred — and Why
- The preempt is critical: deferrals are measurement infrastructure, not autonomy
- The platform IS autonomous in operations; what's deferred is the evidence pipeline
### Slide 12 — What's Deferred — and Why
- The preempt is critical: these deferrals are measurement infrastructure, not autonomy — the platform IS autonomous in operations
- The blocking work is named in plain language (no decision IDs) — "live AWS re-provisioning", "drift-detection scheduler", "ML service"
- Showing this to leadership demonstrates honesty, not weakness
- **Key takeaway:** the autonomy is real; the measurement gaps are documented
- **Key takeaway:** the autonomy is real; the measurement gaps are documented with the work that unblocks each one
### Slide 15 — Roadmap to the North Star
- Every deferred metric has a specific unblock requirement and a candidate milestone
- The re-evaluation triggers ensure the metrics layer evolves
- Nothing is hand-waved; everything has a plan
- **Key takeaway:** the path from "honestly deferred" to "here's how we get there"
### Slide 13 — Roadmap to the North Star
- Each deferred metric has an unblock path and a timeframe — near-term, mid-term, longer-term
- No status column: most of it is not implemented yet, so status would be noise
- Re-evaluation triggers: each blocking piece of work lifts on its own schedule
- **Key takeaway:** every deferred metric has a plan and a timeframe — nothing is hand-waved
### Slide 16Recap + Ask
- Recap the 5-act arc so the audience leaves with the structure
- The ask is a business decision: approve a pilot + the ledger build-out
### Slide 1412-Month Product Roadmap
- This is the *product* roadmap, forward-looking only
- Q1 Pilot Activation → Q2 Provable Trust → Q3 Compounding ROI → Q4 Integration & Predictive
- Each quarter activates one strategic objective from the North Star
- **Key takeaway:** the 12-month product arc — each quarter activates a strategic objective and its board-level metric
### Slide 15 — Quarter-by-Quarter Outcomes
- Q1: three post-pilot metrics go live (Touchless ≥99%, Escalation <0.1%, Accuracy ≥99.5%) — denominator activates with the pilot
- Q2: Decision Ledger Coverage was already grounded — tamper-evidence is the Q2 upgrade (local hash-chain → Object Lock + signed checkpoints)
- Q3: Drift Auto-Reversal ≥95% unblocks when the drift scheduler ships; Spend Reduction ≥25% measured against the pilot baseline
- Q4: Predictive:Reactive ≥3:1 requires the ML forecasting service; AI-Agent Intent Share is a first measurement (aspirational-metric)
- **Key takeaway:** each quarter has a concrete deliverable, a target metric grounded in a strategic objective, and a path from deferred to shipped
### Slide 16 — Production-Grade Guidance via Atelier (1/2)
- Nova instructs the citizen developer's AI agent via skills (markdown, keyed to engineering domains) + an MCP server (4 tools, plugin-registry, stdio)
- The integration point is the same regardless of source — AI agent, agentic SDLC, traditional IDE all get the same skills + MCP
- This is how Nova makes the citizen developer production-grade without owning the PDLC
- **Key takeaway:** the citizen developer's AI agent is not unguided — Nova provides engineering principles as skills + MCP
### Slide 17 — Production-Grade Guidance via Atelier (2/2)
- The value is the gap deterministic scanners leave: engineering discipline (Wiz/Checkmarx/Mend check policy/secrets, not discipline)
- The MCP server catches "is this service observable?", "is this error path handled?", "is this API contract clear?"
- Vendored at a pinned tag → audit reproducibility — a validation result is replayable months later
- **Key takeaway:** submissions are checked for engineering discipline, not just policy compliance — and the check is reproducible for audit
### Slide 18 — Recap + Ask
- Recap the 4-beat arc so the audience leaves with the structure
- The ask is a business decision: approve a pilot estate + the tamper-evident ledger build-out
- "Pipeline-ready" → "production-proven" is the value proposition
- **Key takeaway:** approve a pilot + the ledger build-out to move from pipeline-ready to production-proven
### Slide 17 — Scope: Downstream of PDLC
- Nova governs infra + delivery only; the PDLC (product backlog, code authorship, IDE) is upstream
- Integration is only through the validated contract boundary
- Any upstream source (AI agent, agentic SDLC, dev platform) may produce submissions — all subject to the same compliance standards
- Nova validates the submission, not the author
- **Key takeaway:** Nova is purpose-built for infrastructure operations, not product development; the scope boundary is clean
### Slide 18 — RACI: Who Owns What
- Citizen Developer owns FRs + UAT (via any upstream source — AI agent, SDLC, dev platform — all pass the same gate)
- Platform owns NFRs + infra + QA + prod deploy
- Release Management is co-owned: platform runs attestations agentically, citizen developer oversees + triggers the release (human at stage gate)
- The compliance-standard equivalence is the key: the source does not matter; the submission does
- **Key takeaway:** you bring FRs + UAT; Nova provides NFRs + infra + QA + prod deploy; the release is co-owned with you at the stage gate
### Slide 19 — Production-Grade Guidance via Atelier
- Nova instructs the citizen developer's AI agent via skills (9 markdown files) + an MCP server (4 tools, plugin-registry, stdio)
- The MCP server provides agentic validation beyond deterministic scanners — catches correctness, clarity, observability gaps that Wiz/Checkmarx/Mend cannot
- Atelier is vendored (pinned tag) for audit reproducibility — a validation result is replayable
- This is how Nova ensures the citizen developer's submissions meet production-grade standards regardless of upstream source
- **Key takeaway:** the citizen developer is not unguided — Nova provides engineering principles via skills + MCP, so every submission meets the same standards
### Appendix A1 — Metrics Glossary
- Reference for every metric mentioned in the deck
- Use if the audience asks "what does X mean?"
### Appendix A2 — Operating Model & Cost
- The operating cost is negligible (~$0.007/month)
- The zero-cost steady state (D-096 teardown) is the structural mitigation
- References the pre-mortem for the decay-prevention story
---
## Slide 20 — 12-Month Product Roadmap
**Key takeaway:** The next 12 months have a clear product arc — pilot activation → provable trust → compounding ROI → agentic substrate. Each quarter activates one strategic objective.
- This is the *product* roadmap, not the technical roadmap. The technical milestones (v1.0v1.19) are behind us; this is forward-looking.
- Q1 (Pilot Activation): re-provision live AWS, activate the first pilot estate, light up the three post-pilot metrics. Onboarding auto-grant ships.
- Q2 (Provable Trust): tamper-evident ledger (Object Lock + JWS), daily checkpoints, live cost reconciliation. Trust is the moat — features can be copied; an immutable decision history cannot.
- Q3 (Compounding ROI + Drift): drift detection + auto-reversal, Infracost→CUR reconciliation on the pilot estate. This is the quarter the CFO points to a number that improves quarter-over-quarter.
- Q4 (Agentic Substrate + Predictive): ML anomaly-forecasting, AI-agent intent surface, multi-cloud preview. The Future Horizon target moves from aspiration to first measurement.
- The roadmap is grounded in the four strategic objectives from the North Star — autonomy, provable trust, ROI, agentic substrate — and the deferred-metric unblock paths from Slide 15.
**If asked "what about multi-cloud?"**: Q4 preview. AWS-only through Q3; Azure/GCP enters preview in Q4. We optimize for depth first, breadth second.
**If asked "what about the ML service?"**: Q4. The predictive-vs-reactive ≥3:1 target requires an ML anomaly-forecasting emitter — the most technically ambitious deliverable on the roadmap.
---
## Slide 21 — Quarter-by-Quarter Outcomes
**Key takeaway:** Each quarter has a concrete deliverable, a target metric, and a strategic-objective grounding. Nothing is hand-waved.
- Q1: three post-pilot metrics go live (Touchless ≥99%, Escalation <0.1%, Accuracy ≥99.5%). The measurement pipeline is already grounded; the denominator activates when the pilot estate runs.
- Q2: Decision Ledger Coverage was already grounded — the *tamper-evidence* is the Q2 upgrade (SQLite hash-chain → S3 Object Lock + JWS). Cost Savings ≥25% becomes CFO-grade with live CUR reconciliation.
- Q3: Drift Auto-Reversal ≥95% unblocks when the drift scheduler ships. Spend Reduction ≥25% is the same target, now measured against the pilot baseline.
- Q4: Predictive:Reactive ≥3:1 requires the ML forecasting service. AI-Agent Intent Share ≥40% moves from aspiration to first measurement.
- The month-18 destination: "Nova is the layer enterprise leadership points to when they say 'we don't have an infrastructure ops team anymore, and the audit trail is stronger than it ever was.'"
**If asked "are these committed or aspirational?"**: Q1Q3 are committed (grounded pipeline + known unblock paths). Q4 targets are committed-deliverable, aspirational-metric — the ML service ships, the ≥40% intent share is first measurement (we don't control adoption rate).
- Use if the audience asks "what does X mean?"
+1 -1
View File
@@ -8,7 +8,7 @@ multipart form: name=<filename>, attachment=<file bytes>
Usage:
python3 scripts/attach_release_asset.py <file-path> <release-id>
python3 scripts/attach_release_asset.py docs/presentations/nova-no-humans-platform.pptx 522
python3 scripts/attach_release_asset.py docs/presentations/nova-autonomous-cloud-delivery.pptx 522
Token resolution: reads NOVA_GITEA_TOKEN (or ACDL_GITEA_TOKEN) from .env.secrets
/ .env, matching the ship_phase.sh pattern. Never uses shell env tokens.
+1 -1
View File
@@ -26,7 +26,7 @@ def test_cap_024_deck_structure():
def test_cap_024_deck_exists():
"""The unified deck source of truth exists."""
deck_path = ROOT / "docs" / "presentations" / "nova-no-humans-platform.md"
deck_path = ROOT / "docs" / "presentations" / "nova-autonomous-cloud-delivery.md"
assert deck_path.exists(), "unified deck not found"
+145 -3
View File
@@ -1,12 +1,21 @@
"""REQ-239..243 (v1.20): S&P theme + slide render pipeline tests.
"""REQ-239..243 (v1.20) + REQ-245,251,252 (v1.21): S&P theme + slide render
pipeline + deck-refinement tests.
Validates:
v1.20 validates:
- The Marp deck frontmatter references nova-sp-theme.css
- The CSS file contains the S&P colors (#D6002A, #1B1B1B)
- The mermaid theme JSON contains the S&P colors
- Every .mmd has a corresponding .png
- The render_slides.sh script exists and is executable
- The CI workflow file exists
v1.21 adds (REQ-245,251,252):
- Deck renamed to nova-autonomous-cloud-delivery*
- No maturity badges in the Marp deck
- No version in the Marp footer/title slide
- 18 main + 1 appendix slides
- No D-###/REQ-###/internal .py paths in audience-facing slides
- Title is "Nova — The Autonomous Cloud Delivery Platform"
"""
import re
from pathlib import Path
@@ -18,7 +27,8 @@ PRESENTATIONS = ROOT / "docs" / "presentations"
ASSETS = PRESENTATIONS / "assets"
THEME_CSS = ASSETS / "nova-sp-theme.css"
THEME_JSON = ASSETS / "mmd" / "sp-theme.json"
MARP_DECK = PRESENTATIONS / "nova-no-humans-platform-marp.md"
MARP_DECK = PRESENTATIONS / "nova-autonomous-cloud-delivery-marp.md"
SOURCE_MD = PRESENTATIONS / "nova-autonomous-cloud-delivery.md"
RENDER_SCRIPT = ROOT / "scripts" / "render_slides.sh"
SLIDES_WORKFLOW = ROOT / ".github" / "workflows" / "slides.yml"
@@ -87,6 +97,13 @@ def test_render_slides_script_renders_marp():
assert ".pptx" in text, "render_slides.sh does not produce PPTX"
def test_render_slides_default_deck_renamed():
"""REQ-245: render_slides.sh default deck is nova-autonomous-cloud-delivery."""
text = RENDER_SCRIPT.read_text()
assert "nova-autonomous-cloud-delivery" in text, \
"render_slides.sh does not default to nova-autonomous-cloud-delivery"
def test_slides_ci_workflow_exists():
"""REQ-241: CI workflow for slides exists."""
assert SLIDES_WORKFLOW.is_file(), "slides.yml workflow not found"
@@ -124,3 +141,128 @@ def test_readme_no_retired_decks():
"README still references retired 'how-the-platform-works' deck"
assert "the-developer-experience" not in readme, \
"README still references retired 'the-developer-experience' deck"
def test_readme_no_old_deck_name():
"""REQ-245: README references the new deck name, not the old one."""
readme = (PRESENTATIONS / "README.md").read_text()
assert "nova-autonomous-cloud-delivery" in readme, \
"README does not reference nova-autonomous-cloud-delivery"
def test_old_deck_files_removed():
"""REQ-245: the old nova-no-humans-platform* files are gone."""
old_files = sorted(PRESENTATIONS.glob("nova-no-humans-platform*"))
assert not old_files, f"old deck files still present: {old_files}"
def test_marp_deck_no_badges():
"""REQ-252: no maturity badges in the Marp deck."""
text = MARP_DECK.read_text()
assert "badge" not in text, "Marp deck still contains badge spans"
def test_marp_deck_no_version_in_footer():
"""REQ-251: no version (v1.x) in the Marp frontmatter footer/header."""
text = MARP_DECK.read_text()
fm_match = re.match(r'^---\n(.*?)\n---', text, re.DOTALL)
assert fm_match, "Marp frontmatter not found"
frontmatter = fm_match.group(1)
# No v1.x version string in the footer or header lines
assert not re.search(r"v1\.\d+", frontmatter), \
f"Marp frontmatter still contains a version: {frontmatter}"
# No "Act" pagination artifact
assert "Act %" not in frontmatter, \
"Marp frontmatter still contains 'Act %{page}' artifact"
def test_marp_deck_title_slide_no_version_subtitle():
"""REQ-251: the title slide does not carry a version subtitle."""
text = MARP_DECK.read_text()
# The title slide is the first slide after the frontmatter
# Find the title block (between the frontmatter and the first --- separator)
after_fm = text.split("---\n", 2)[2] if text.startswith("---") else text
first_slide = after_fm.split("\n---\n")[0]
# The old subtitle was "v1.18 — Citizen Developer & Production-Grade Guidance"
assert "v1.18" not in first_slide, \
"Title slide still contains 'v1.18' subtitle"
assert "Citizen Developer & Production-Grade Guidance" not in first_slide, \
"Title slide still contains the old version subtitle"
def test_marp_deck_title_is_autonomous_cloud_delivery():
"""REQ-245: the deck title is 'Nova — The Autonomous Cloud Delivery Platform'."""
text = MARP_DECK.read_text()
assert "Autonomous Cloud Delivery Platform" in text, \
"Deck title is not 'Autonomous Cloud Delivery Platform'"
# The old title should not appear in the audience-facing deck
# (speaker notes are not in the marp deck, so this is safe)
assert "No-Humans Infrastructure Platform" not in text, \
"Deck still carries the old 'No-Humans Infrastructure Platform' title"
def test_marp_deck_slide_count():
"""REQ-245: 18 main slides + 1 appendix = 19 slides total."""
text = MARP_DECK.read_text()
# Count slide separators: each slide ends with --- (except the last)
# The frontmatter is one --- ... --- block, then each slide is separated by ---
# Count "## Slide" and "## Appendix" headings
slide_headings = re.findall(r"^## (?:Slide|Appendix) ", text, re.MULTILINE)
main_slides = re.findall(r"^## Slide ", text, re.MULTILINE)
appendix_slides = re.findall(r"^## Appendix ", text, re.MULTILINE)
assert len(main_slides) == 18, \
f"expected 18 main slides, found {len(main_slides)}: {slide_headings}"
assert len(appendix_slides) == 1, \
f"expected 1 appendix slide, found {len(appendix_slides)}"
def test_marp_deck_no_internal_citations():
"""REQ-252: no D-### decision IDs, REQ-### requirement IDs, or internal
.py file paths in the audience-facing Marp deck."""
text = MARP_DECK.read_text()
# Decision IDs like D-121, D-083
assert not re.search(r"\bD-\d{3}\b", text), \
"Marp deck contains D-### decision IDs"
# Requirement IDs like REQ-245
assert not re.search(r"\bREQ-\d{3}\b", text), \
"Marp deck contains REQ-### requirement IDs"
# Internal python file paths like outbox_writer.py, confidence_signal.py
# (allow .py only inside code blocks for the ROI formula? No — the deck
# should not cite internal file paths at all)
assert not re.search(r"\b(outbox_writer|confidence_signal|hitl_gates|"
r"attestation_matrix|checkov_adapter|infracost_adapter|"
r"contract_resolver|run_platform)\.py\b", text), \
"Marp deck contains internal .py file paths"
def test_source_md_no_internal_citations_in_slides():
"""REQ-252: the source-of-truth markdown keeps internal citations only
in speaker notes, not in the audience-facing slide body. Speaker notes
are blockquoted (> ) — we check non-blockquote lines for D-###/REQ-###."""
text = SOURCE_MD.read_text()
# Split into lines; exclude blockquote lines (speaker notes) and the
# header frontmatter (> ... at the top)
in_note = False
body_lines = []
for line in text.splitlines():
if line.lstrip().startswith(">"):
in_note = True
continue
if in_note and line.strip() == "":
in_note = False
continue
if not in_note:
body_lines.append(line)
body = "\n".join(body_lines)
# Decision IDs and REQ IDs should not appear in the slide body
assert not re.search(r"\bD-\d{3}\b", body), \
"Source markdown slide body contains D-### decision IDs"
assert not re.search(r"\bREQ-\d{3}\b", body), \
"Source markdown slide body contains REQ-### requirement IDs"
def test_source_md_no_badges():
"""REQ-252: no maturity badges in the source-of-truth markdown."""
text = SOURCE_MD.read_text()
assert "badge" not in text.lower(), \
"Source markdown still contains badge spans"