The upgraded Problem Map for end-to-end AI stability
Last week I shared the Problem Map 1.0 — a checklist of 16 reproducible AI failure modes.
That post showed how hallucination, drift, and logic collapse can be structurally prevented instead of patched after the fact.
Today the Global Fix Map is live: a panoramic upgrade that spans 300+ pages across retrieval, embeddings, chunking, OCR/language parsing, reasoning, long context, agents, serverless infra, automation, eval, and governance.
👉 Full index here:
Global Fix Map README
Why it matters — Before vs After
Most teams patch after generation:
- The model outputs something wrong → add rerankers, regex, compensations.
- The same bugs resurface in production.
WFGY flips this sequence.
A semantic firewall runs before generation:
- It checks ΔS (semantic drift), λ (convergence), and coverage.
- Unstable states are looped, reset, or redirected.
- Only stable semantic states are allowed to generate output.
This turns firefighting into structural guarantees:
- Debug time cut by 60–80%.
- Bugs don’t recur once mapped.
- Acceptance targets: ΔS ≤ 0.45, coverage ≥ 0.70, λ convergent.
The Map at a Glance
The Global Fix Map is organized into practical families:
- Providers & Agents: LLM quirks, orchestration, cold boot order, recovery bridges.
- Data & Retrieval: VectorDBs, RAG pipelines, embeddings, chunking discipline.
- Input & Parsing: OCR, multilingual analyzers, locale normalization.
- Reasoning & Memory: entropy overload, symbolic collapse, long context coherence.
- Automation & Ops: Zapier/Make/n8n, OpsDeploy guardrails, idempotency fences.
- Eval & Governance: ΔS thresholds, regression gates, compliance policies.
- Local Deploy: Ollama, llama.cpp, vLLM, textgen-webui, TGI, AWQ/AutoGPTQ.
Each page is store-agnostic, reproducible, and measurable.
You fix once, verify targets, and the bug stays fixed.
Series Plan
To keep it digestible, I’ll post a series where each part dives into one family:
- Agents & Orchestration
- Automation
- OpsDeploy
- Vector DBs & Stores
- RAG & Retrieval
- Embeddings
- Chunking
- Language & OCR
- Reasoning & Memory
- Cloud Serverless
- Eval & Governance
- Local Deploy / Inference
Each article will include symptoms, what is actually breaking, before vs after, minimal fixes, and acceptance targets.
How to Use It
- Open the Global Fix Map README.
- Find your stack (e.g. FAISS, Ollama, LangChain, Zapier, Redis).
- Apply the minimal repair steps on the right page.
- Confirm stability: ΔS ≤ 0.45, coverage ≥ 0.70, λ convergent.
Zero SDK lock-in. Runs as plain text with TXTOS or WFGY Core.
Coming next
Part 1: Agents & Orchestration — cold boot, tool fences, multi-agent chaos.
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