# WFGY Problem Map 1.0 — bookmark it. you’ll need it ## 🛡️ permanent fixes for recurring ai bugs. fix once, never again. ### ❓ BigBig Question *If AI bugs are not random but mathematically inevitable, can we finally define and prevent them?* --- **WFGY Problem Map = a reasoning layer for your AI.** just load [**TXT OS**](https://github.com/onestardao/WFGY/blob/main/OS/README.md) or [**WFGY Core**](https://github.com/onestardao/WFGY/tree/main/core), then ask: *“which problem map number am i hitting?”* you’ll get a diagnosis and exact fix steps — no infra changes needed. **16 reproducible failure modes, each with a clear fix (MIT).** **A plug-and-play semantic firewall, built at the reasoning layer: solve once, it stays solved.** *if this page saves you time, a ⭐ helps others discover it.* GitHub stars > thanks everyone — WFGY reached **800 stars in 70 days**. > next milestone: at **1000 stars we’ll unlock Blur Blur Blur**. --- > **[WFGY Core](https://github.com/onestardao/WFGY/blob/main/core/README.md)** is live: a 30-line reasoning engine for recovery and resilience. > fixing rag hallucinations? it makes models **reason before answering**. > coming next: **Semantic Surgery Room** and **Global Fix Map** (n8n, GHL, Make, more). planned by **Sep 1**.
semantic memory & reasoning fix in action
--- ## 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 →](./SemanticClinicIndex.md) - **Getting Started (practical):** [Guard a RAG pipeline with WFGY →](./getting-started.md) - **Beginner Guide:** [Find and fix your first failure →](./BeginnerGuide.md) - **Diagnose by symptom:** [`Diagnose.md` table →](./Diagnose.md) - **Visual RAG Guide:** [`RAG Architecture & Recovery`](./rag-architecture-and-recovery.md) high-altitude map linking symptom × stage × failure class with exact recovery paths. - **Multi-Agent chaos:** [Role drift & memory overwrite →](./Multi-Agent_Problems.md) - **Field reports:** [Real bugs and fixes from users →](https://github.com/onestardao/WFGY/discussions/10) - **TXT OS directory:** [browse the OS repo →](../OS/README.md) - **MVP demos:** [Minimal WFGY examples →](./mvp_demo/README.md) > tip: if you’re new, skip scrolling — use the **minimal quick-start** below. --- ## 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](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1) download 2) upload to your LLM 3) ask: “answer using WFGY + ” | | **TXT OS** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1) download 2) paste into any LLM chat 3) type “hello world” to boot | --- ## 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`](./rag-architecture-and-recovery.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 [open in colab](https://colab.research.google.com/github/onestardao/WFGY/blob/main/tools/wfgy_diagnose_colab.ipynb) detects: No.2 — [Interpretation Collapse](./retrieval-collapse.md) steps: run all, paste prompt+answer, read ΔS and fix tip
λ_observe checkpoint — mid-step re-grounding [open in colab](https://colab.research.google.com/github/onestardao/WFGY/blob/main/tools/wfgy_lambda_observe_colab.ipynb) fixes: No.6 — [Logic Collapse & Recovery](./logic-collapse.md) steps: run all, compare ΔS before/after, fallback to BBCR if needed
ε_resonance — domain-level harmony [open in colab](https://colab.research.google.com/github/onestardao/WFGY/blob/main/tools/wfgy_e_resonance_colab.ipynb) explains: No.12 — [Philosophical Recursion](./philosophical-recursion.md) steps: run, tune anchors, read ε
λ_diverse — answer-set diversity [open in colab](https://colab.research.google.com/github/onestardao/WFGY/blob/main/tools/wfgy_lambda_diverse_colab.ipynb) detects: No.3 — [Long Reasoning Chains](./context-drift.md) steps: run, supply ≥3 answers, read score
--- ## 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. | # | problem domain | what breaks | doc | |----|---------------------------------|-----------------------------------------------|-----| | 1 | hallucination & chunk drift | retrieval returns wrong/irrelevant content | [hallucination.md](./hallucination.md) | | 2 | interpretation collapse | chunk is right, logic is wrong | [retrieval-collapse.md](./retrieval-collapse.md) | | 3 | long reasoning chains | drifts across multi-step tasks | [context-drift.md](./context-drift.md) | | 4 | bluffing / overconfidence | confident but unfounded answers | [bluffing.md](./bluffing.md) | | 5 | semantic ≠ embedding | cosine match ≠ true meaning | [embedding-vs-semantic.md](./embedding-vs-semantic.md) | | 6 | logic collapse & recovery | dead-ends, needs controlled reset | [logic-collapse.md](./logic-collapse.md) | | 7 | memory breaks across sessions | lost threads, no continuity | [memory-coherence.md](./memory-coherence.md) | | 8 | debugging is a black box | no visibility into failure path | [retrieval-traceability.md](./retrieval-traceability.md) | | 9 | entropy collapse | attention melts, incoherent output | [entropy-collapse.md](./entropy-collapse.md) | | 10 | creative freeze | flat, literal outputs | [creative-freeze.md](./creative-freeze.md) | | 11 | symbolic collapse | abstract/logical prompts break | [symbolic-collapse.md](./symbolic-collapse.md) | | 12 | philosophical recursion | self-reference loops, paradox traps | [philosophical-recursion.md](./philosophical-recursion.md) | | 13 | multi-agent chaos | agents overwrite or misalign logic | [Multi-Agent_Problems.md](./Multi-Agent_Problems.md) | | 14 | bootstrap ordering | services fire before deps ready | [bootstrap-ordering.md](./bootstrap-ordering.md) | | 15 | deployment deadlock | circular waits in infra | [deployment-deadlock.md](./deployment-deadlock.md) | | 16 | pre-deploy collapse | version skew / missing secret on first call | [predeploy-collapse.md](./predeploy-collapse.md) | for No.13 deep dives: • role drift → [`multi-agent-chaos/role-drift.md`](./multi-agent-chaos/role-drift.md) • cross-agent memory overwrite → [`multi-agent-chaos/memory-overwrite.md`](./multi-agent-chaos/memory-overwrite.md) --- ## minimal quick-start 1) open **Beginner Guide** and follow the symptom checklist. 2) use the **Visual RAG Guide** to locate the failing stage. 3) 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 | difficulty* | implementation | |----|---------------------------------|-------------|----------------| | 1 | hallucination & chunk drift | medium | ✅ stable | | 2 | interpretation collapse | high | ✅ stable | | 3 | long reasoning chains | high | ✅ stable | | 4 | bluffing / overconfidence | high | ✅ stable | | 5 | semantic ≠ embedding | medium | ✅ stable | | 6 | logic collapse & recovery | very high | ✅ stable | | 7 | memory breaks across sessions | high | ✅ stable | | 8 | debugging black box | medium | ✅ stable | | 9 | entropy collapse | high | ✅ stable | | 10 | creative freeze | medium | ✅ stable | | 11 | symbolic collapse | very high | ✅ stable | | 12 | philosophical recursion | very high | ✅ stable | | 13 | multi-agent chaos | very high | ✅ stable | | 14 | bootstrap ordering | medium | ✅ stable | | 15 | deployment deadlock | high | ⚠️ beta | | 16 | pre-deploy collapse | medium-high | ✅ stable | \*distance from default LLM behavior to a production-ready fix.
--- ## 🔮 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](https://github.com/onestardao/WFGY) - TXT OS: [browse the OS](https://github.com/onestardao/WFGY/tree/main/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 →](https://github.com/onestardao/WFGY/tree/main/core/README.md) | | Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) | | Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) | | Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) | | Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) | | Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) | --- > 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** — > Engineers, hackers, and open source builders who supported WFGY from day one. > GitHub stars ⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
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