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header: 'ACDL · Agentic Cloud Delivery Platform'
footer: 'Executive Demo · v1.0'
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---
# ACDL
## Agentic Cloud Delivery Platform
Automatic. Safe. Audited. — in 30 minutes, on stubs.
v1.0 · GitHub Actions · stub-driven
---
# The Problem
### Today, deploying infrastructure takes **weeks**
- Ticket → triage queue → copy-paste config → peer review → security review → waiting for central IT to release
> Two weeks of human latency for a service that should take minutes.
### What we want instead
- Developer commits a **contract** → pipeline runs
- Safety **computed** automatically (confidence signal)
- Manual gates only where they matter (QA, Prod)
- Every step written to a tamper-evident **evidence stream**
---
# How It Works
```
┌────────────── acdl-contracts ──────────────┐
Developer ──▶│ commit contract.yaml │
└───────┬───────────────────────────────────┘
│ (push)
Citizen ┌─────────┴──────────┐
│ "ingest gas pricing into data lake"
▼
Claude agent ──▶ contract.yaml ─┘
│ (push)
▼
┌─────────────────┐
│ reusable │
│ GitHub Actions │
│ pipeline │
└────────┬────────┘
│
┌─────────────┼─────────────┐
▼ ▼ ▼
Dev (auto) QA (approval) Prod (approval)
│
▼
evidence_writer ─▶ audit.json (hash-chained) ─▶ Pages timeline
```
Two entry paths, **one** pipeline, **one** audit trail — developer via GitHub, citizen developer via their own Claude agent.
---
# The Safety Story
### Computed, not requested
| Signal | Behavior |
|--------|----------|
| **Base confidence** | 0.90 |
| **On policy violation** | drop to 0.40 + reason code |
| **Gate threshold** | ≥ 0.50 to proceed past Dev |
### Policy (v1)
- `public-ingress: true` → `POLICY_VIOLATION:PUBLIC_INGRESS`
### Evidence
- Each event appended to `audit.json` with SHA-256 link to previous (`prev_hash` + `hash`)
- Published to Pages → vanilla-JS timeline
---
# Scenario 1 — Developer Self-Service
### Trigger
Developer commits a valid `contract.yaml` requesting **`l2-commodity-price-feed`** via **GitHub**.
### What you'll see
- **Dev:** policy ✅ → apply api-gateway, lambda, s3 → confidence **0.90** → proceed
- **QA:** pipeline pauses → click **Approve**
- **Prod:** pipeline pauses → click **Approve**
- **Finalize:** `audit.json` committed → Pages timeline updates
### Evidence outcome
Timeline shows: contract received → policy pass → apply × 3 → confidence 0.90 → QA → Prod → published.
---
# Scenario 1 — Journey
```mermaid
flowchart LR
classDef gh fill:#F4F4F4,stroke:#1A1A1A,stroke-width:2px,color:#1A1A1A
classDef stage fill:#C8102E,stroke:#8E0B20,stroke-width:1px,color:#FFFFFF
classDef gate fill:#FFFFFF,stroke:#1A1A1A,stroke-width:2px,color:#1A1A1A
classDef evidence fill:#F4F4F4,stroke:#C8102E,stroke-width:1px,color:#1A1A1A
D["Developer"]:::gh -->|"writes contract.yaml"| GH["GitHub
acdl-contracts"]:::gh
GH -->|"push triggers
GitHub Action"| DEV["Dev
(autonomous)"]:::stage
DEV -->|"policy ✅ · confidence 0.90"| QA["QA
approval gate"]:::gate
QA -->|"approve"| PROD["Prod
approval gate"]:::gate
PROD -->|"approve"| FIN["Finalize
commit audit.json"]:::stage
FIN --> TL["GitHub Pages
timeline"]:::evidence
```
---
# Scenario 2 — Citizen Developer
### Trigger
Non-technical user prompts their **own Claude agent** in natural language:
> "I need a new service to ingest real-time natural gas pricing data into our data lake."
### What you'll see
- Claude agent parses intent, writes `contract.yaml` for **`l2-commodity-price-feed`**, pushes a branch
- Issue **closed**; branch push triggers the **identical** pipeline from Scenario 1
- Citizen developer follows the run all the way to **Prod**
### Evidence outcome
Timeline is **indistinguishable** from Scenario 1 — the agentic surface is first-class, not a bolt-on.
---
# Scenario 2 — Journey
```mermaid
flowchart LR
classDef cit fill:#F4F4F4,stroke:#C8102E,stroke-width:2px,color:#1A1A1A
classDef agent fill:#C8102E,stroke:#8E0B20,stroke-width:1px,color:#FFFFFF
classDef stage fill:#1A1A1A,stroke:#1A1A1A,stroke-width:1px,color:#FFFFFF
classDef gate fill:#FFFFFF,stroke:#1A1A1A,stroke-width:2px,color:#1A1A1A
classDef evidence fill:#F4F4F4,stroke:#C8102E,stroke-width:1px,color:#1A1A1A
CD["Citizen developer"]:::cit -->|"natural-language
prompt"| CL["Claude agent
(citizen-owned)"]:::agent
CL -->|"generates
contract.yaml"| GH["GitHub
acdl-contracts"]:::cit
GH -->|"push triggers
GitHub Action"| DEV["Dev
(autonomous)"]:::stage
DEV -->|"policy ✅ · confidence 0.90"| QA["QA
approval gate"]:::gate
QA -->|"approve"| PROD["Prod
approval gate"]:::gate
PROD -->|"approve"| FIN["Finalize
commit audit.json"]:::stage
FIN --> TL["GitHub Pages
timeline"]:::evidence
```
---
# Scenario 3 — The Safety Net
### Trigger
Developer commits a **malicious** `contract.yaml` for `l2-regulatory-reporting` via **GitHub**:
```yaml
stack: l2-regulatory-reporting
public-ingress: true
```
### What you'll see
- **Dev:** `policy_checker` → `POLICY_VIOLATION:PUBLIC_INGRESS`
- `confidence_signal` drops 0.90 → **0.40**
- `0.40 < 0.50` → pipeline **halts in Dev**
- Rejection reason written to the evidence stream
### Evidence outcome
Timeline shows the attempted deploy, the violation, the confidence drop, and the **halt** — visible and explained.
---
# Scenario 3 — Journey
```mermaid
flowchart LR
classDef gh fill:#F4F4F4,stroke:#1A1A1A,stroke-width:2px,color:#1A1A1A
classDef stage fill:#C8102E,stroke:#8E0B20,stroke-width:1px,color:#FFFFFF
classDef halt fill:#1A1A1A,stroke:#1A1A1A,stroke-width:1px,color:#FFFFFF
classDef evidence fill:#F4F4F4,stroke:#C8102E,stroke-width:1px,color:#1A1A1A
D["Developer"]:::gh -->|"writes malicious
contract.yaml"| GH["GitHub
acdl-contracts"]:::gh
GH -->|"push triggers
GitHub Action"| DEV["Dev
(autonomous)"]:::stage
DEV -->|"POLICY_VIOLATION:PUBLIC_INGRESS
confidence 0.90 → 0.40"| HALT["Halt in Dev
+ rejection reason"]:::halt
HALT --> TL["GitHub Pages
timeline"]:::evidence
```