WFGY/ProblemMap

WFGY Problem Map 1.0 — bookmark it. you’ll need it

🛡️ permanent fixes for recurring ai bugs. fix once, never again.

WFGY Problem Map = a reasoning layer for your AI.
no infra change. just load TXT OS or WFGY Core, then ask your model: “which problem map number am i hitting?”
you get the diagnosis and the exact fix steps.

16 reproducible failure modes in AI systems, each with a clear fix (MIT).
A plug-and-play semantic firewall, with no infra changes required.
Built at the semantic layer. solve it once, it stays solved.
if this page saves you time, a ⭐ helps others discover it.

thanks everyone — WFGY reached 800 stars in 70 days.
next milestone: at 1000 stars we’ll unlock Blur Blur Blur.

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WFGY Core 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.

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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 →
• Diagnose by symptom: Diagnose.md table →
• 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 →
• Field reports: Real bugs and fixes from users →
• 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.

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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

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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

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🧪 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

detects: No.2 — Interpretation Collapse
steps: run all, paste prompt+answer, read ΔS and fix tip

λ_observe checkpoint — mid-step re-grounding

open in colab

fixes: No.6 — Logic Collapse & Recovery
steps: run all, compare ΔS before/after, fallback to BBCR if needed

ε_resonance — domain-level harmony

open in colab

explains: No.12 — Philosophical Recursion
steps: run, tune anchors, read ε

λ_diverse — answer-set diversity

open in colab

detects: No.3 — Long Reasoning Chains
steps: run, supply ≥3 answers, read score

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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
2	interpretation collapse	chunk is right, logic is wrong	retrieval-collapse.md
3	long reasoning chains	drifts across multi-step tasks	context-drift.md
4	bluffing / overconfidence	confident but unfounded answers	bluffing.md
5	semantic ≠ embedding	cosine match ≠ true meaning	embedding-vs-semantic.md
6	logic collapse & recovery	dead-ends, needs controlled reset	logic-collapse.md
7	memory breaks across sessions	lost threads, no continuity	memory-coherence.md
8	debugging is a black box	no visibility into failure path	retrieval-traceability.md
9	entropy collapse	attention melts, incoherent output	entropy-collapse.md
10	creative freeze	flat, literal outputs	creative-freeze.md
11	symbolic collapse	abstract/logical prompts break	symbolic-collapse.md
12	philosophical recursion	self-reference loops, paradox traps	philosophical-recursion.md
13	multi-agent chaos	agents overwrite or misalign logic	Multi-Agent_Problems.md
14	bootstrap ordering	services fire before deps ready	bootstrap-ordering.md
15	deployment deadlock	circular waits in infra	deployment-deadlock.md
16	pre-deploy collapse	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

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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.

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🔮 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.

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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.

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🧭 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 →

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Engineers, hackers, and open source builders who supported WFGY from day one.

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