feat(veridical-week8+aidmp-spec): Week 8 Status Report + AIDMP XML Specification#34
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…— XML Specification SPEC-AIDMP-001 v1.0.0 — Raw XML <specification> document with CDATA-wrapped Markdown. Six required sections delivered: 1. Executive Summary — problem statement, 3-component solution (Document Router, Approval Predictor, Adaptive UI Engine), 2.8x Year-1 ROI on $2.4M investment 2. System Architecture — valid Mermaid.js C4 Container diagram with 13 containers, 4 external systems, 30+ relationship edges, deployment topology (K8s + GPU) 3. AI Components — GNN (HetGAT, macro-F1 0.914, 12ms P95), Collaborative Filtering (NCF two-tower, Hit@3 0.89), Active Learning (hybrid acquisition, 500 samples/cycle) 4. Implementation Specs — 3 OpenAPI 3.0.3 YAML endpoint definitions, PostgreSQL 16 schema (5 tables + pgvector), MongoDB 7.x validator schema, Redis 7.x key patterns, Kafka 3.7 topics/consumer groups, RabbitMQ 3.13 quorum queues with DLX 5. Performance, Security & Compliance — 3 bullets: SLAs (P95 <200ms, 99.95% uptime), GDPR Art.17 + SOC 2 Type II, RBAC 5-tier + OPA/ABAC 6. 18-Month Roadmap & Risks — 8 bullets: Q1-Q4 quarterly milestones + 3 cross-cutting risk mitigations (vendor lock-in, adversarial injection, privacy breach) Constraints met: no conversational preamble/postamble, no Markdown code fences around XML, CDATA contains zero ]]> sequences. XML validated via Python ElementTree parser. ~4,100 words, 41 KB.
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Review these changes at https://app.gitnotebooks.com/OneFineStarstuff/OneFineStarstuff.github.io/pull/34 |
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…e Deployment & First Risk Closure VRDCL-ESR-008 — Semantic cache live, VR-001 formally closed, 1.2M corpus milestone. Key metrics (Week 7 → Week 8): - Retrieval Accuracy: 93.2% → 93.5% (+0.3 pp, all 5 domains exceed targets) - Query Latency P95: 1.18s → 1.03s (-0.15s, -12.7%, PROGRAMME BEST) - Token Cost/Query: $0.023 → $0.019 (-$0.004, -17.4%, PROGRAMME BEST) - System Uptime: 99.99% → 99.97% (12 min planned cache warm-up) - Document Corpus: 1.15M → 1.23M (+80K, 1.2M milestone crossed) - Pilot Users: 502 (consolidation week, HR onboarding Week 9) Semantic cache deployment: - 64% hit rate (target: 62%), 142K cache entries - Cache-hit P95: 0.89s, cache-miss P95: 1.28s, blended: 1.03s - Cost: $0.016/query cache-hit, $0.024 cache-miss, $0.019 blended - Redis 7.x cluster, cosine similarity threshold 0.97 - $2,400/month hosting → $6,200/month savings = $3,800/month net - 12-day payback, 31x annualised ROI Risk closure: - VR-001 (Vendor Lock-in) FORMALLY CLOSED — first programme risk closure - SOC 2 Type II evidence package filed - REI: 0.08 → 0.06 (programme lowest) - 2 risks closed (VR-001, VR-002), 3 active (all LOW) - VR-006 recommended for closure at Week 9 Budget: $824K / $1.42M (58.0% at 66.7% schedule) CPI: 1.15, SPI: 1.06, EAC: $1.23M (-$190K underrun) Finance domain tuning: 93.0% → 94.2% (+1.2 pp), methodology replicated. ISO 42001: 81% → 87% (target 88%, shortfall in A.9.2). Visionary theme: Invisible AI Infrastructure — when AI disappears into the workflow. Sub-second cache creates utility perception, 3.1x faster than Gartner median, patent-eligible architecture. Technical delivery: - veridical-week8.html: 35 KB, 438 lines, dark theme, 0 console errors, 8.9s load - API: 10 endpoints (/api/veridical-week8/*), all HTTP 200 - server.js: 5,131 lines - Full regression: 21 existing endpoints all HTTP 200 Report suite: 18 HTML dashboards.
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Two Deliverables
1. SPEC-AIDMP-001 — AI-Native Intelligent Document Management Platform
Raw XML specification document with CDATA-wrapped Markdown (~4,100 words, 41 KB). Six sections: Executive Summary, System Architecture (C4 Container), AI Components (GNN, Collaborative Filtering, Active Learning), Implementation Specs (OpenAPI 3.0.3, PostgreSQL/MongoDB/Redis, Kafka/RabbitMQ), Performance/Security/Compliance (3 bullets), 18-Month Roadmap & Risks (8 bullets).
2. VRDCL-ESR-008 — Project Veridical Week 8 of 12
Theme: Semantic Cache Deployment & First Programme Risk Closure
Key metrics (Week 7 -> Week 8): Accuracy 93.2% -> 93.5%, Latency P95 1.18s -> 1.03s (PROGRAMME BEST), Cost $0.023 -> $0.019 (PROGRAMME BEST), Corpus 1.15M -> 1.23M (1.2M milestone), Uptime 99.97%, Users 502.
Semantic cache: 64% hit rate, 0.89s cache-hit P95, $3,800/month net saving, 31x ROI.
VR-001 FORMALLY CLOSED (first programme risk closure). REI 0.06. Budget $824K/$1.42M, CPI 1.15.
Technical: 10 new + 21 regression endpoints (all HTTP 200), HTML 35 KB, 0 errors, 8.9s load.