P5 (Wave 3, docs) — REQ-196, 197, 202, 203, 213 New deck (unified narrative): - docs/presentations/nova-no-humans-platform.md — source of truth (18 slides) - docs/presentations/nova-no-humans-platform-marp.md — Marp deck - docs/presentations/nova-no-humans-platform-talking-points.md — presenter cues 5-act arc: Problem -> Vision -> How -> Proof -> Roadmap x3 structure at deck level (slide 1 = arc preview, slides 2-15 = tell them, slide 16 = recap + ask) x3 per slide (opens with what it covers, delivers, closes with benefit callout) Fluid transitions (every slide references the previous slide's close) Act indicator in Marp footer Grill binding decisions applied: - G-Q4: D-122 honesty sentence on slide 7 - G-Q8: stake line (18V+0 consumers) on slide 1 - G-Q9: 4 filler benefit closes rewritten - G-Q10: slide 12 split into Zero-Touch Efficiency + Cost & ROI - G-Q11: preempt on slide 14 (deferrals are measurement infra, not autonomy) - G-Q13: Act 3->4 transition rewritten - G-Q14: slide 9 benefit reframed to trust substrate - G-Q15: ROI formula inline + N=0 caveat on slide 13 - G-Q16: slide 16 ask reframed as business decision Retired (D-130): - how-the-platform-works.md + marp + html + talking-points (DELETED) - the-developer-experience.md + marp + html + talking-points (DELETED) ---ci--- project: acdl phase: 5 milestone: v1.17 status: execute ---/ci---
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marp, theme, paginate, size, header, footer, style
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| true | default | true | 16x9 | Nova — The No-Humans Infrastructure Platform | Act %{page}/5 — v1.17 | section { font-size: 0.85em; } h1 { color: #1a1a2e; } h2 { color: #16213e; } table { font-size: 0.75em; } .badge { padding: 2px 8px; border-radius: 3px; font-size: 0.8em; } .badge.planned { background: #fff3cd; color: #856404; } section.title { background: #1a1a2e; color: white; } |
Nova — The No-Humans Infrastructure Platform
Shifting from Operational Overhead to Strategic Value
v1.17 — Strategic Direction, Leadership Metrics & Unified Story
Slide 1 — Arc Preview
This deck proves Nova is the no-humans infrastructure platform — and shows you the metrics that make the claim defensible.
Today: 18 capabilities verified, 0 consumer estates in production.
The 5-act arc:
- Problem — why the operator is the bottleneck
- Vision — Nova's strategic direction (NORTH_STAR)
- How — the pipeline, Decision Ledger, attestation gates
- Proof — grounded metrics that make the claim defensible
- Roadmap — deferred metrics with unblock paths + the ask
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.
Slide 2 — The No-Humans Imperative
Why the operator is the bottleneck — and why removing them from operations (not accountability) is the imperative.
- 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
Benefit: you now know the problem framing — autonomy in operations, human at stage gates, is the path forward.
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
4 Strategic Objectives:
- Zero-touch operations — autonomy as the default, not the demo
- Provable trust in AI decisions — Decision Ledger, confidence scoring, circuit breakers
- Compounding, quantifiable ROI — each quarter must reduce spend, free hours, avoid downtime
- Default substrate for agentic consumption — the platform AI agents reach for first
5 Anti-Goals (what Nova is NOT):
- Not a hyperscaler competitor
- Not a general-purpose AI platform
- Not removing humans from accountability
- Not for legacy, untagged, or freeform infrastructure
- Not sold to operators
Benefit: you now know the scope boundaries — Nova is purpose-built for infrastructure operations, sold to leadership on outcomes.
Slide 5 — 12–18 Month Targets
Current-milestone targets (grounded/derived):
| 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 |
Post-Pilot targets (pipeline grounded; 0 consumers today):
| 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 Planned · Drift Auto-Reversal ≥95% Planned
Benefit: you now know the destination numbers — and which are measurable today vs deferred honestly.
Slide 6 — The Platform Pipeline
How intent becomes verified infrastructure without an operator.
Contract → Resolver → Adapter → Terraform Plan → Checkov (Policy) → Confidence Signal → HITL Gate → Apply → Evidence
- Dev: autonomous (no HITL gate)
- qa/prod/dr: attested (human sign-off required)
- Grounded in
run_platform.sh+contract_resolver.py+confidence_signal.py
Benefit: you now know the path from intent to evidence — and where the human appears (stage gates only).
Slide 7 — The Decision Ledger
Every AI decision captured with confidence, alternatives, and outcome.
outbox_writer.py→ SQLite append-only hash-chain tableai.decision.made: decision_id=run_id, chosen_action=band, confidence=score, alternatives=perInput, human_override=HITL blockattestation.recorded: qa/prod/dr sign-offs- D-121, D-122, D-132. Honors D-083 (no S3 Object Lock/JWS — local hash-chain)
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.
Slide 8 — The 8-Concern Attestation Matrix
Designed controls that keep humans at stage gates.
| 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 |
- 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
Benefit: you now know the gate model — autonomy in operations, human in accountability, by design.
Slide 9 — Telemetry Architecture
How Nova instruments itself — CloudEvents envelope, cold store, PowerBI export.
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
- D-120 (Nova-native), D-125 (hybrid), D-126 (cold-only)
- Planned: Hot-path (live ops dashboard) — D-126
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.
Slide 10 — Capability Health + Confidence Distribution
Grounded proof: capability health and confidence distribution from real runs.
| Status | Count |
|---|---|
| Verified | 18 |
| Skipped | 4 |
| Broken | 0 |
| Decayed | 0 |
- 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.
Slide 11 — Decision Ledger + Attestation Coverage
Trust metrics — both 100%.
- Decision Ledger Coverage: 100% of platform runs emit
ai.decision.madewith 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.mdwith chain-integrity verdict - Planned: Tamper-Evident Ledger Checkpoints (D-083)
Benefit: you now know the trust is provable — not a marketing claim, a queryable record.
Slide 12 — Zero-Touch Efficiency
Touchless resolution, human escalation, and MTTR.
- 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)
Post-Pilot caveat: computed on N internal runs today; production-denominator activates when a pilot estate runs.
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.
Slide 13 — Cost & ROI
Cost estimates and the ROI formula — with honest caveats.
- 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."
- Planned: Live CUR Reconciliation (D-096)
Benefit: you now know the ROI formula — and you know it's computed on internal runs today, not fabricated production numbers.
Slide 14 — What's Deferred — and Why
Honesty about what isn't measured yet.
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.
| # | 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 |
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.
Slide 15 — Roadmap to the North Star
The path from v1.17's grounded metrics to the 12–18 month targets.
- 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
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.
Slide 16 — Recap + Ask
The 5-act 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
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.'"
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.
Appendix A1 — Metrics Glossary
| 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) |
| 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) |
| 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 |
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.