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WFGY Troubleshooting Atlas Index

📍 Public navigation index for the WFGY AI Troubleshooting Atlas.
Quick links, fast onboarding, and a 60 second try for builders who want to debug AI systems with a better first cut.

WFGY Atlas Banner

👀 What this repo is

This repo is a lightweight entry point for the WFGY AI Troubleshooting Atlas.

It is built for people who want to:

  • reach the Atlas fast
  • understand the core idea in under a minute
  • try the workflow without digging through the whole repository first

This repo is not the canonical source.

The full source of truth lives in the main WFGY repository, here:
WFGY AI Troubleshooting Atlas


🚀 Start here

1. Read the main Atlas

Open the WFGY AI Troubleshooting Atlas

2. Download the raw file directly

Download the raw Atlas file

3. Open the main WFGY repository

Go to the main WFGY repository

4. Browse the full Problem Map root

Open the Problem Map directory


⚡ 60 second try

If your AI coding session, agent workflow, or debugging process is already drifting, try this:

Step 1
Open the Atlas

Step 2
Download the raw file or copy the Atlas content into your clipboard

Step 3
Paste it into your model together with:

  • your failing case
  • the current wrong behavior or error
  • the latest prompt, trace, or workflow context

Step 4
Ask the model to do three things:

  • identify the most likely failure family
  • explain why the first diagnosis may be wrong
  • propose the smallest valid next repair step

That is the core idea.

A lot of AI debugging pain does not come from the final fix.
It starts when the first cut goes into the wrong direction.

The Atlas is designed to reduce that cost before random patching begins.


🧭 Quick links

Main entry

WFGY AI Troubleshooting Atlas

Problem Map classic entry

Problem Map 1.0

Full Problem Map root

Problem Map directory

Main repository

WFGY main repository

TXT OS

TXT OS

Recognition and ecosystem proof

Recognition


🧠 Why this exists

In real debugging work, the biggest waste often happens before the repair.

The wrong first diagnosis creates hidden cost:

  • extra trial and error
  • patch stacking
  • more side effects
  • false confidence
  • longer time to reach the real root cause

The WFGY AI Troubleshooting Atlas exists to make that first routing step more visible, more structural, and more reliable.

It is especially useful for:

  • AI coding workflows
  • agent systems
  • prompt driven debugging
  • multi step reasoning failures
  • cases where the session is drifting but still pretending to be coherent

🎯 Who this is for

This repo is useful if you are:

  • building with LLMs
  • debugging agent behavior
  • working on AI workflows
  • trying to reduce wasted debug time
  • tired of patching the symptom while missing the real failure surface

If that sounds familiar, start here:
Open the Atlas


📌 Notes

This repository is only a shortcut index.

The canonical source lives here:
Canonical Atlas source

The broader project lives here:
Main WFGY repository

If this entry point helps you, please consider starring the main project here:
Star WFGY

About

Quick entry for the WFGY AI Troubleshooting Atlas. Fast links, quick start, and a 60-second try. Part of the WFGY ecosystem.

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