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|---|---|---|
| .. | ||
| article | ||
| eval | ||
| examples | ||
| GlobalFixMap | ||
| GrandmaClinic | ||
| multi-agent-chaos | ||
| mvp_demo | ||
| ops | ||
| patterns | ||
| agent-boundary-design.md | ||
| agent-consensus-protocols.md | ||
| agent-memory-drift.md | ||
| BeginnerGuide.md | ||
| bluffing.md | ||
| bootstrap-ordering.md | ||
| chunking-checklist.md | ||
| context-drift.md | ||
| creative-freeze.md | ||
| data-contracts.md | ||
| deployment-deadlock.md | ||
| Diagnose.md | ||
| embedding-vs-semantic.md | ||
| entropy-collapse.md | ||
| evaluation-playbook.md | ||
| faq.md | ||
| getting-started.md | ||
| glossary.md | ||
| hallucination.md | ||
| Infra_Boot_Problems.md | ||
| knowledge-boundary.md | ||
| logic-collapse.md | ||
| long-context-stress.md | ||
| LongContext_Problems.md | ||
| memory-coherence.md | ||
| memory-design-patterns.md | ||
| multi-agent-chaos.md | ||
| Multi-Agent_Problems.md | ||
| multilingual-guide.md | ||
| Multimodal_Problems.md | ||
| observability-runbook.md | ||
| ocr-parsing-checklist.md | ||
| philosophical-recursion.md | ||
| predeploy-collapse.md | ||
| privacy-and-governance.md | ||
| prompt-injection.md | ||
| rag-architecture-and-recovery.md | ||
| RAG_Problems.md | ||
| README.md | ||
| reasoning-schemas.md | ||
| rerankers.md | ||
| retrieval-collapse.md | ||
| retrieval-playbook.md | ||
| retrieval-traceability.md | ||
| Safety_Boundary_Problems.md | ||
| SemanticClinicIndex.md | ||
| symbolic-collapse.md | ||
| Symbolic_Logic_Problems.md | ||
| system-prompt-drift.md | ||
| tool-router-debug.md | ||
| vectorstore-fragmentation.md | ||
| vectorstore-metrics-and-faiss-pitfalls.md | ||
| wfgy-metrics.md | ||
🧭 Lost or curious? Open the WFGY Compass & ⭐ Star Unlocks
WFGY System Map
(One place to see everything; links open the relevant section.)
| Layer | Page | What it’s for |
|---|---|---|
| 🧠 Core | WFGY Core 2.0 | The symbolic reasoning engine (math & logic) |
| 🧠 Core | WFGY 1.0 Home | The original homepage for WFGY 1.0 |
| 🗺️ Map | Problem Map 1.0 | 16 failure modes + fixes — 🔴 YOU ARE HERE 🔴 |
| 🗺️ Map | Problem Map 2.0 | RAG-focused recovery pipeline |
| 🗺️ Map | Semantic Clinic | Symptom → family → exact fix |
| 🧓 Map | Grandma’s Clinic | Plain-language stories, mapped to PM 1.0 |
| 🏡 Onboarding | Starter Village | Guided tour for newcomers |
| 🧰 App | TXT OS | .txt semantic OS — 60-second boot |
| 🧰 App | Blah Blah Blah | Abstract/paradox Q&A (built on TXT OS) |
| 🧰 App | Blur Blur Blur | Text-to-image with semantic control |
| 🧰 App | Blow Blow Blow | Reasoning game engine & memory demo |
| 🧪 Research | Semantic Blueprint | Modular layer structures (future) |
| 🧪 Research | Benchmarks | Comparisons & how to reproduce |
| 🧪 Research | Value Manifest | Why this engine creates $-scale value |
⭐ Star Unlocks
- 1,000 ⭐ → Blur Blur Blur unlocked ✅
- 3,000 ⭐ → Blow Blow Blow unlocked ⏳
🏥 WFGY Problem Map 1.0 · bookmark it. you’ll need it
🛡️ reproducible AI bugs, permanently fixed at the reasoning layer
🌙 3AM: a dev collapsed mid-debug… 🩺 WFGY Triage Center — Emergency Room & Grandma’s AI Clinic
🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥
🚑 WFGY Emergency Room (for developers)
👨⚕️ Now online:
Dr. WFGY in ChatGPT Room
This is a share window already trained as an ER.
Just open it, drop your bug or screenshot, and talk directly with the doctor.
He will map it to the right Problem Map / Global Fix section, write a minimal prescription, and paste the exact reference link.
If something is unclear, you can even paste a screenshot of Problem Map content and ask — the doctor will guide you.
⚠️ Note: for the full reasoning and guardrail behavior you need to be logged in — the share view alone may fallback to a lighter model.
💡 Always free. If it helps, a ⭐ star keeps the ER running.
🌐 Multilingual — start in any language.
👵 Grandma’s AI Clinic (for everyone)
- 16 common AI failure modes, each explained as a grandma story.
- Everyday metaphors: wrong cookbook, salt-for-sugar, burnt first pot.
- Shows both the life analogy and the minimal WFGY fix.
- Perfect entry point for beginners, or anyone who wants to “get it” in 30 seconds.
💡 Tip: Both tracks lead to the same Problem Map numbers.
Choose Emergency Room if you need a fix right now.
Choose Grandma’s Clinic if you want to understand the bug in plain words.
🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥
⏱️ 60 seconds: WFGY as a semantic firewall. before vs after
most fixes today happen AFTER generation:
- the model outputs something wrong, then we patch it with retrieval, chains, or tools.
- the same failures reappear again and again.
WFGY inverts the sequence. BEFORE generation:
- it inspects the semantic field (tension, residue, drift signals).
- if the state is unstable, it loops, resets, or redirects the path.
- only a stable semantic state is allowed to generate output.
this is why every failure mode, once mapped, stays fixed.
you’re not firefighting after the fact — you’re installing a reasoning firewall at the entry point.
📊 Before vs After
Traditional Fix (After Generation) WFGY Semantic Firewall (Before Generation) 🏆✅ Flow Output → detect bug → patch manually Inspect semantic field → only stable state generates Method Add rerankers, regex, JSON repair, tool patches ΔS, λ, coverage checked upfront; loop/reset if unstable Cost High — every bug = new patch, risk of conflicts Low — once mapped, bug sealed permanently Ceiling 70–85% stability limit 90–95%+ achievable, structural guarantee Experience Firefighting, “whack-a-mole” debugging Structural firewall, “fix once, stays fixed” Complexity Growing patch jungle, fragile pipelines Unified acceptance targets, one-page repair guide
⚡ Performance impact
- Traditional patching: 70–85% stability ceiling. Each new patch adds complexity and potential regressions.
- WFGY firewall: 90–95%+ achievable. Fix once → the same bug never resurfaces. Debug time cut by 60–80%.
- Unified metrics: every fix is measured (ΔS ≤ 0.45, coverage ≥ 0.70, λ convergent). No guesswork.
🛑 Key notes
- This is not a plugin or SDK — it runs as plain text, zero infra changes.
- You must apply acceptance targets: don’t just eyeball; log ΔS and λ to confirm.
- Once acceptance holds, that path is sealed. If drift recurs, it means a new failure mode needs mapping, not a re-fix of the old one.
Summary:
Others patch symptoms AFTER output. WFGY blocks unstable states BEFORE output.
That is why it feels less like debugging, more like installing a structural guarantee.
WFGY Problem Map = a reasoning layer for your AI.
load TXT OS or WFGY Core, then ask: “which problem map number am i hitting?”
you’ll get a diagnosis and exact fix steps — no infra changes required.
(tip: you can even paste the Problem Map page or a screenshot into the AI, and it will point you to the right number automatically.)
16 reproducible failure modes, each with a clear fix (MIT). (e.g. rag drift, broken indexes)
A semantic firewall you install once, and every failure stays fixed.
most readers found this map useful and left a ⭐ — if it helps you too, please star it so others can discover.
quick-start downloads (60 sec)
new here? skip the map. grab TXT OS or the WFGY PDF, boot, then ask your model:
“answer using WFGY: ” or “which Problem Map number am i hitting?”
| tool | link | 3-step setup |
|---|---|---|
| WFGY 1.0 PDF | engine paper | 1) download 2) upload to your LLM 3) ask: “answer using WFGY + ” |
| TXT OS | TXTOS.txt | 1) download 2) paste into any LLM chat 3) type “hello world” to boot |
start here
- RAG broke → open Retrieval Playbook and RAG Architecture & Recovery
- Agents drift or loop → open Agents & Orchestration or Safety_PromptIntegrity
- Local model feels unstable → open LocalDeploy_Inference and Embeddings: Metric Mismatch
💥 WFGY Global Fix Map — full index (click to open)
🗺️ This is the panoramic index: all common AI infra / RAG / reasoning errors are organized here by category.
Prefer Quick Access — it is the fastest way to self-orient, understand how this system works, and jump to the right fix: Quick Access.
If you want the full folder view, open the Global Fix Map home: Global Fix Map README.
🧭 Providers & Agents
🧭 Data & Retrieval
🧭 Input & Parsing
🧭 Reasoning & Memory
🧭 Automation & Ops
🧭 Eval & Governance
❓ BigBig Question — If AI bugs are not random but mathematically inevitable, can we finally define and prevent them?
(this repo is one experiment toward that direction)
Quick Access
don’t worry if this looks long. with TXT OS loaded, simply ask your LLM:
“which Problem Map number fits my issue?” it will point you to the right page.
- Semantic Clinic (triage when unsure): Fix symptoms fast →
- Getting Started (practical): Guard a RAG pipeline with WFGY →
- Beginner Guide: Find and fix your first failure →
- Problem Map FAQ: Beginner + practitioner answers →
- Diagnose by symptom:
Diagnose.mdtable → - Visual RAG Guide:
RAG Architecture & Recovery
high-altitude map linking symptom × stage × failure class with exact recovery paths. - Multi-Agent chaos: Role drift & memory overwrite →
- TXT OS directory: browse the OS repo →
- MVP demos: Minimal WFGY examples →
tip: if you’re new, skip scrolling — use the minimal quick-start below.
failure catalog (with fixes)
if you are unsure which one applies, ask your LLM with TXT OS loaded:
“which Problem Map number matches my trace?” it will route you.
legend
[IN] Input & Retrieval [RE] Reasoning & Planning
[ST] State & Context [OP] Infra & Deployment
{OBS} Observability/Eval {SEC} Security {LOC} Language/OCR
| # | problem domain (with layer/tags) | what breaks | doc |
|---|---|---|---|
| 1 | [IN] hallucination & chunk drift {OBS} | retrieval returns wrong/irrelevant content | hallucination.md |
| 2 | [RE] interpretation collapse | chunk is right, logic is wrong | retrieval-collapse.md |
| 3 | [RE] long reasoning chains {OBS} | drifts across multi-step tasks | context-drift.md |
| 4 | [RE] bluffing / overconfidence | confident but unfounded answers | bluffing.md |
| 5 | [IN] semantic ≠ embedding {OBS} | cosine match ≠ true meaning | embedding-vs-semantic.md |
| 6 | [RE] logic collapse & recovery {OBS} | dead-ends, needs controlled reset | logic-collapse.md |
| 7 | [ST] memory breaks across sessions | lost threads, no continuity | memory-coherence.md |
| 8 | [IN] debugging is a black box {OBS} | no visibility into failure path | retrieval-traceability.md |
| 9 | [ST] entropy collapse | attention melts, incoherent output | entropy-collapse.md |
| 10 | [RE] creative freeze | flat, literal outputs | creative-freeze.md |
| 11 | [RE] symbolic collapse | abstract/logical prompts break | symbolic-collapse.md |
| 12 | [RE] philosophical recursion | self-reference loops, paradox traps | philosophical-recursion.md |
| 13 | [ST] multi-agent chaos {OBS} | agents overwrite or misalign logic | Multi-Agent_Problems.md |
| 14 | [OP] bootstrap ordering | services fire before deps ready | bootstrap-ordering.md |
| 15 | [OP] deployment deadlock | circular waits in infra | deployment-deadlock.md |
| 16 | [OP] pre-deploy collapse {OBS} | version skew / missing secret on first call | predeploy-collapse.md |
for No.13 deep dives:
• role drift → multi-agent-chaos/role-drift.md
• cross-agent memory overwrite → multi-agent-chaos/memory-overwrite.md
🧪 one-click sandboxes — run WFGY instantly
run lightweight diagnostics with zero install and zero api key. powered by colab.
these tools map directly to the problem classes. others are handled inside WFGY and will surface in later CLIs.
ΔS diagnostic (mvp) — measure semantic drift
detects: No.2 — Interpretation Collapse
steps: run all, paste prompt+answer, read ΔS and fix tip
λ_observe checkpoint — mid-step re-grounding
fixes: No.6 — Logic Collapse & Recovery
steps: run all, compare ΔS before/after, fallback to BBCR if needed
ε_resonance — domain-level harmony
explains: No.12 — Philosophical Recursion
steps: run, tune anchors, read ε
λ_diverse — answer-set diversity
detects: No.3 — Long Reasoning Chains
steps: run, supply ≥3 answers, read score
why this matters long-term
these 16 errors are not random. they are structural weak points every ai pipeline hits eventually.
with WFGY as a semantic firewall you don’t just fix today’s issue — you shield tomorrow’s.
this isn’t just a bug list. it’s an x-ray for your pipeline, so you stop guessing and start repairing.
see the end-to-end view: RAG Architecture & Recovery
minimal quick-start
- open Beginner Guide and follow the symptom checklist.
- use the Visual RAG Guide to locate the failing stage.
- open the matching page and apply the patch.
ask any LLM to apply WFGY (TXT OS makes it smoother):
i’ve uploaded TXT OS / WFGY notes.
my issue: \[e.g., OCR tables look fine but answers point to wrong sections]
which WFGY modules should i apply and in what order?
status & difficulty
| # | problem (with layer/tags) | difficulty* | implementation |
|---|---|---|---|
| 1 | [IN] hallucination & chunk drift {OBS} | medium | ✅ stable |
| 2 | [RE] interpretation collapse | high | ✅ stable |
| 3 | [RE] long reasoning chains {OBS} | high | ✅ stable |
| 4 | [RE] bluffing / overconfidence | high | ✅ stable |
| 5 | [IN] semantic ≠ embedding {OBS} | medium | ✅ stable |
| 6 | [RE] logic collapse & recovery {OBS} | very high | ✅ stable |
| 7 | [ST] memory breaks across sessions | high | ✅ stable |
| 8 | [IN] debugging black box {OBS} | medium | ✅ stable |
| 9 | [ST] entropy collapse | high | ✅ stable |
| 10 | [RE] creative freeze | medium | ✅ stable |
| 11 | [RE] symbolic collapse | very high | ✅ stable |
| 12 | [RE] philosophical recursion | very high | ✅ stable |
| 13 | [ST] multi-agent chaos {OBS} | very high | ✅ stable |
| 14 | [OP] bootstrap ordering | medium | ✅ stable |
| 15 | [OP] deployment deadlock | high | ⚠️ beta |
| 16 | [OP] pre-deploy collapse {OBS} | medium-high | ✅ stable |
*distance from default LLM behavior to a production-ready fix.
🔬 Behind the Map
The Problem Map is practical and ready to use.
But if you wonder why these fixes work, and how we’re defining physics inside embedding space:
→ The Hidden Value Engine (WFGY Physics)
🔮 coming soon: global fix map
a universal layer above providers, agents, and infra.
Problem Map is step one. Global Fix Map expands the same reasoning-first firewall to RAG, infra boot, agents, evals, and more. same zero-install experience. launching around Sep.
contributing / support
- open an issue with a minimal repro (inputs → calls → wrong output).
- PRs for clearer docs, repros, or patches are welcome.
- project home: github.com/onestardao/WFGY
- TXT OS: browse the OS
- if this map helped you, a ⭐ helps more devs find it.
🧭 Explore More
| Module | Description | Link |
|---|---|---|
| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | View → |
| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | View → |
| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | View → |
| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | View → |
| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | View → |
| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | View → |
| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | Start → |
👑 Early Stargazers: See the Hall of Fame —
Engineers, hackers, and open source builders who supported WFGY from day one.
⭐ WFGY Engine 2.0 is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the Unlock Board.
