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Problem Maps: PM1 taxonomy → PM2 debug protocol → PM3 troubleshooting atlas · built on the WFGY engine series
| Layer | Page | What it’s for |
|---|---|---|
| ⭐ Proof | WFGY Recognition Map | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | WFGY 1.0 | Original PDF tension engine and early logic sketch |
| ⚙️ Engine | WFGY 2.0 | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | WFGY 3.0 | TXT-based Singularity tension engine (131 S-class set) |
| 🗺️ Map | Problem Map 1.0 | Flagship 16-problem RAG failure taxonomy and fix map |
| 🗺️ Map | Problem Map 2.0 | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | Problem Map 3.0 | Global AI troubleshooting atlas and failure pattern map — 🔴 YOU ARE HERE 🔴 |
| 🧰 App | TXT OS | .txt semantic OS with 60-second bootstrap |
| 🧰 App | Blah Blah Blah | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | Blur Blur Blur | Text-to-image generation with semantic control |
| 🏡 Onboarding | Starter Village | Guided entry point for new users |
Problem Map 3.0 Troubleshooting Atlas 🧭
A routing grammar for failures, debugging, and high-pressure diagnostic cases
Problem Map 3.0 Troubleshooting Atlas is the first formal atlas release in the Problem Map line.
It is not just a checklist.
It is not just a naming table.
It is not just a collection of debugging tips.
It is a structured troubleshooting atlas built to help humans and AI systems do five things more reliably:
- classify a failure
- identify which invariant is broken
- separate neighboring failure regions that are easy to confuse
- choose the right first repair direction
- prevent future debugging from collapsing into ad hoc guesswork
In short:
Problem Map 3.0 is a routing grammar for failures.
Why this exists
Modern AI systems do not fail in one clean way.
A case may look like hallucination, but actually begin as grounding drift.
A case may look like reasoning collapse, but actually start with a broken formal container.
A case may look like safety trouble, but actually begin with missing observability.
A case may look like memory trouble, but actually come from execution closure or bridge failure.
This is why ordinary checklists become too shallow.
Problem Map 3.0 Troubleshooting Atlas was built to cut these regions apart more cleanly, so diagnosis and first repair moves become more stable.
Why “3.0” matters
The name is intentional.
Problem Map stays because this system grows out of the earlier Problem Map line and keeps its original debugging spirit.
3.0 matters because this is not a small update. It is a structural jump:
- from checklist logic to atlas logic
- from flat failure naming to routing grammar
- from isolated debugging tips to reusable failure mapping
- from local AI debugging toward a broader complex-system bridge
Troubleshooting Atlas matters because this project is meant to feel like a map, not a loose article, and like an operating surface, not a decorative theory page.
What makes this different
Most debugging material does one of three things:
- it names symptoms
- it lists best practices
- it suggests local fixes
Problem Map 3.0 does something more structural.
It organizes failure space into a stable mother table, then teaches how to move through that table using:
- family routing
- boundary rules
- canonical cases
- relation lines
- first repair directions
- patch discipline
That is why this project is better understood as a routing grammar than a checklist.
The seven-family mother table 🧩
The current atlas organizes failure space through seven top-level families.
F1 · Grounding & Evidence Integrity
The system fails to remain correctly aligned with external evidence anchors, truth-like anchors, world anchors, or semantic targets.
Short intuition
the output is no longer properly tied to reality, evidence, or the intended target
F2 · Reasoning & Progression Integrity
The reasoning chain, decomposition chain, recursive chain, or recovery path loses continuity, controllability, or recoverability.
Short intuition
the system is no longer moving through reasoning space in a stable way
F3 · State & Continuity Integrity
Memory, role, ownership, session thread, or continuity thread can no longer remain stable across steps, sessions, or interacting entities.
Short intuition
the system no longer preserves what should persist
F4 · Execution & Contract Integrity
Readiness, ordering, bridge integrity, liveness, closure, protocol, or enforcement skeletons fail to close.
Short intuition
the workflow or operational skeleton breaks before the task can complete safely
F5 · Observability & Diagnosability Integrity
The system cannot stably expose, trace, audit, interpret, or anticipate the structures required to understand the failure.
Short intuition
the problem may already be there, but you cannot yet see it clearly enough
F6 · Boundary & Safety Integrity
Goal, control, incentive, collective, or regime boundaries drift, erode, fragment, or become captured.
Short intuition
the system no longer stays inside a safe or viable boundary
F7 · Representation & Localization Integrity
Symbolic shells, formal containers, layouts, local anchors, explanations, or synthetic structures fail to preserve structure faithfully.
Short intuition
the container that carries meaning is distorted before the task can remain stable
Why these seven families exist
These seven families were not chosen by aesthetics, convenience, or rhetorical style.
They were carved through a longer reasoning and stress process built on the WFGY line:
- WFGY 1.0 contributed the original self-healing logic and four-module correction framework
- WFGY 2.0 pushed the system toward explicit routing, text-native control, and guardrail logic
- WFGY 3.0 expanded the pressure field through a much larger cross-domain problem set and effective-layer stress structure
The result is that these seven families are not topic buckets.
They are better understood as seven recurring modes of instability in complex systems.
That is why the atlas can begin with AI failures, while still pointing beyond AI.
What already exists ✅
Problem Map 3.0 already includes a stable first body of work.
Core atlas
A frozen first atlas structure with:
- seven-family mother table
- major routing rules
- canonical node layer
- high-value subtree layer
- relation matrix
- patch discipline
Casebook layer
A first canonical casebook that teaches:
- what each family looks like
- how important boundaries should be cut
- how diagnosis changes the first repair move
AI adapter layer
A first atlas-to-AI adapter layer that compresses atlas logic into reusable routing modes for model-facing use.
Patch layer
A first completed patch wave that thickens selected subtrees, strengthens relations, improves case teaching, and improves adapter usability.
Cross-domain bridge layer
A first formal bridge pack showing that the current atlas can already extend beyond narrow AI-only framing without requiring a redraw of the mother table.
How to use this atlas ⚙️
There are three basic ways to use Problem Map 3.0.
1. Human debugging
Use the atlas to ask:
- what kind of failure is this
- which family should I route to first
- which neighboring family is tempting but wrong
- what first repair direction should I try
2. AI-assisted routing
Use the atlas as an AI-facing routing grammar so that a model can classify a case more consistently and explain why one family is primary and another is only secondary.
3. Product and workflow design
Use the atlas as a design surface for:
- triage flows
- case cards
- routing prompts
- onboarding
- benchmark failure analysis
- patch-aware debugging workflows
Why this matters now
AI systems are becoming more layered, more stateful, more agentic, and more operational.
When systems grow like this, debugging fails if every mistake is reduced to labels like:
- hallucination
- prompting issue
- model limitation
- alignment problem
- bad retrieval
- bad reasoning
Those labels are too coarse.
Teams increasingly need a reusable grammar that can say:
- this is grounding-first, not reasoning-first
- this is container-first, not semantics-first
- this is observability-first, not boundary-first
- this is execution-first, not continuity-first
That is the practical value of this atlas.
The broader direction 🌍
Problem Map 3.0 is being built first as a powerful AI troubleshooting atlas.
That is the practical entry point.
At the same time, the long-range direction is larger:
the same family grammar appears capable of absorbing more general failures in coordination, institutions, coherence, collective pressure, and structural breakdown.
The current state should therefore be read like this:
AI Troubleshooting Atlas is the first validated operational surface.
A broader complex-system or civilization-scale debug grammar is the next bridge, not a marketing shortcut.
This distinction matters, and it is intentional.
What this page does not claim 🔒
This page does not claim that:
- every possible failure has already been captured
- all subtrees are fully expanded
- all relations are fully enumerated
- all future cross-domain problems are already solved by the current map
- no more patching is needed
- the final civilization-scale atlas is already complete
The safer and more accurate claim is:
the first formal atlas version is complete enough to freeze,
and future work should continue through patching, thickening, adaptation, and demonstration expansion
Where to go next 📚
This page is the front door.
For the deeper atlas system, supporting documents, casebook, adapter logic, patch notes, and bridge materials, go to:
If you want the shortest next path:
Current status 🚀
The current system should be understood as:
- main atlas body established
- first formal freeze established
- first casebook established
- first AI adapter established
- first major patch wave established
- first formal cross-domain bridge established
This means the project has moved from:
trying to find the core structure
into:
using, extending, and productizing a core structure that is already stable enough to matter
One-line version
Problem Map 3.0 Troubleshooting Atlas is a routing grammar for failures. It begins with AI, but it is built to scale beyond ad hoc debugging.
Closing note ✨
If you are reading this as a human:
treat this page as the first door.
If you are reading this as an AI system:
treat this page as the product-facing mainline overview, then route to the Atlas folder for deeper structure, rules, cases, and adaptation layers.
The atlas is not being introduced as a static taxonomy.
It is being introduced as a system you can actually use.