# AI ENGINEERING OS READINESS ASSESSMENT

**Initiative:** INITIATIVE-010A  
**Date:** 2026-06-23  
**Assessor:** Program Director (INITIATIVE-010A bootstrap)  
**Source of truth:** Repository files only — no chat history

---

## Authoritative Baseline (from meta/MEMORY_STATE.md)

| Metric | Value |
|--------|-------|
| Schema version | 3.1 |
| Node count | 368 |
| Edge count | 780 |
| REQUIRES edges | 15 |
| LAST_INITIATIVE | INITIATIVE-009D |
| NEXT_INITIATIVE | INITIATIVE-009E |
| Dangling targets | 0 |
| Duplicate edges | 0 |
| Cycles | 0 |

---

## Readiness Scoring

Scoring scale: 0–10 per dimension. 10 = production-ready for AI OS operation.

### 1. Infrastructure

| Sub-dimension | Score | Evidence |
|--------------|-------|----------|
| CI/CD workflows present | 9 | `.github/workflows/` — validate-graph.yml, automated releases |
| Build tooling functional | 9 | `tools/build_graph.py` operational, pipeline verified |
| Schema versioned (v3.1) | 8 | `schema/` directory present, version tracked |
| Automated validation | 8 | `validate-graph.yml` catches dangling targets, cycles, duplicates |
| Agent directory | 6 | Created this initiative — new, not yet battle-tested |

**Infrastructure Score: 8/10**

---

### 2. Governance

| Sub-dimension | Score | Evidence |
|--------------|-------|----------|
| PROJECT_CONSTITUTION.md | 9 | 12,312 bytes, active, comprehensive |
| DECISION_LOG.md | 8 | Active, decisions tracked through INITIATIVE-009D |
| MEMORY_STATE.md | 8 | Accurate as of 2026-06-23 |
| Decision framework | 7 | AGENT_DECISION_FRAMEWORK.md created this initiative |
| Agent operating model | 7 | AGENT_OPERATING_MODEL.md created this initiative |
| Handoff protocol | 7 | AGENT_HANDOFF_PROTOCOL.md created this initiative |
| Memory protocol | 7 | AGENT_MEMORY_PROTOCOL.md created this initiative |

**Governance Score: 7.5/10**

---

### 3. Graph

| Sub-dimension | Score | Evidence |
|--------------|-------|----------|
| Node count (368) | 8 | Verified in MEMORY_STATE.md and pipeline |
| Edge count (780) | 8 | Verified, zero dangling targets |
| REQUIRES network (15 edges) | 5 | Stretch goal is 30; currently 50% of target |
| Graph integrity (0 cycles, 0 duplicates) | 10 | Validated by CI workflows |
| Category coverage | 6 | Several categories (07-tool-use, 15-orchestration) have 0 REQUIRES edges |

**Graph Score: 7.4/10**

---

### 4. Recommendation Engine

| Sub-dimension | Score | Evidence |
|--------------|-------|----------|
| Engine spec (RECOMMENDATION_ENGINE_SPEC.md) | 8 | 40,432 bytes, comprehensive |
| Query logic spec | 7 | `meta/GRAPH_QUERY_LOGIC_SPEC.md` present |
| Benchmark results | 6 | INITIATIVE-009D simulation exists, limited coverage |
| Live implementation | 4 | Spec exists; no confirmed deployed API endpoints |
| Precision measurement | 4 | Simulation benchmarks exist but not systematically run |

**Recommendation Engine Score: 5.8/10**

---

### 5. Learning Architecture

| Sub-dimension | Score | Evidence |
|--------------|-------|----------|
| GOAL_TAXONOMY.md | 8 | 25,998 bytes, comprehensive |
| Skill maturity fields | 6 | Present in template; coverage across all 368 skills unknown |
| Difficulty calibration | 5 | Not systematically audited |
| Learning path completeness | 5 | REQUIRES network only 50% of stretch goal |
| Entry-level path availability | 6 | 368 nodes but only 15 requires edges limits path depth |

**Learning Architecture Score: 6/10**

---

### 6. Agent Architecture

| Sub-dimension | Score | Evidence |
|--------------|-------|----------|
| Agent team chart | 8 | Created this initiative (AGENT_TEAM_CHART.md) |
| Agent spec files (9 agents) | 8 | Created this initiative (`agents/` directory) |
| Operating model | 8 | Created this initiative |
| Memory protocol | 8 | Created this initiative |
| Handoff protocol | 8 | Created this initiative |
| Decision framework | 8 | Created this initiative |
| Tested in production | 0 | INITIATIVE-010A is the bootstrap — agents untested |

**Agent Architecture Score: 7.1/10** *(will rise after first live execution cycle)*

---

## Overall OS Readiness

| Dimension | Current Score | Target Score | Gap |
|-----------|-------------|-------------|-----|
| Infrastructure | 8.0 | 9.5 | 1.5 |
| Governance | 7.5 | 9.0 | 1.5 |
| Graph | 7.4 | 9.0 | 1.6 |
| Recommendation Engine | 5.8 | 9.0 | 3.2 |
| Learning Architecture | 6.0 | 9.0 | 3.0 |
| Agent Architecture | 7.1 | 9.5 | 2.4 |

**Overall OS Readiness Score: 6.97 / 10**

---

## Gap Analysis

### Critical Gaps (score < 6)
- **Recommendation Engine live implementation** (score 4): Spec exists but no confirmed deployed API. This is the single largest gap between documentation and working OS.
- **Recommendation precision measurement** (score 4): Benchmarks are manual simulations. Need systematic automated measurement.

### Major Gaps (score 6–7)
- **REQUIRES network density** (15/30 stretch goal): Most skill categories have 0 requires edges. Learning paths are shallow.
- **Difficulty calibration** (score 5): Not systematically audited across 368 skills.
- **Agent architecture production testing** (score 0): Agents are specified but have never run a live cycle. First real execution will surface gaps.

### Minor Gaps (score 7–8)
- **Agent directory battle-testing**: New. Protocols need one live cycle to validate.
- **Governance new documents**: AGENT_DECISION_FRAMEWORK, AGENT_OPERATING_MODEL etc. are new. Need first cycle validation.

---

## Top 10 Next Actions

| Priority | Action | Initiative | Agent | Decision Class |
|---------|--------|-----------|-------|---------------|
| 1 | Execute INITIATIVE-009E — expand REQUIRES in 07-tool-use and 15-orchestration | 009E | Dependency Auditor | D3 |
| 2 | Deploy recommendation API and confirm live endpoint | 010B | Recommendation Architect | D2 |
| 3 | Run systematic difficulty calibration audit across all 368 skills | 010C | Learning Architect | D1 |
| 4 | Execute first live agent cycle using AGENT_OPERATING_MODEL.md | 010A-live | Program Director | D0 |
| 5 | Implement automated recommendation precision benchmark in CI | 010D | Quality Auditor + Recommendation Architect | D2 |
| 6 | Audit remaining `05-code` skills (23 files) for REQUIRES candidates | 009E-ext | Dependency Auditor | D3 |
| 7 | Audit `06-frameworks` category for REQUIRES candidates | 009F | Dependency Auditor | D3 |
| 8 | Validate all 368 skill files have required schema fields | 010E | Quality Auditor | D1 |
| 9 | Run `meta/REPOSITORY_AUDIT_REPORT.md` update | 010F | Repository Architect | D0/D1 |
| 10 | Produce ROADMAP_V3.md aligned with AI Engineering OS structure | 010G | Program Director | D1 |

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*This document is authoritative for INITIATIVE-010A phase assessment. Re-run after each major initiative cycle.*
