LLM Agent Failure Diagnosis Harness
Systematically diagnose misbehaving LLM agents — classify the failure layer, isolate the root cause, and verify your fix held — using a 7-layer taxonomy built for AI engineers.
A 4-step agentic workflow pack for coding built to run with ChatGPT, Claude, and Gemini. Open the Markdown files, fill the variables, and paste into your model. Most buyers get a reviewable result in about 30 minutes.
- Classify agent failures across a 7-layer taxonomy with confidence ratings
- Generate targeted isolation probes and controlled reproduction steps per layer
- Surface hidden assumptions through a structured root-cause interview
- Verify fixes hold without introducing regressions in adjacent layers
- Works with any agent framework — LangChain, AutoGen, custom pipelines
- Optionally integrates with LangSmith, Langfuse, or raw trace logs
- Cuts unstructured log-grepping sessions into a repeatable triage workflow
Prompt Customization Service — optional help adapting variables and output to your brand voice. Choose your tier at checkout (not tied to this prompt's price).
This pack is $9 on its own. Buying every pack separately costs $935. The Lifetime Bundle is $149 one-time — you save $786 (84% off) and unlock every future pack free.
Get the Lifetime Bundle — $149Paste the license key from your receipt. It must match this prompt pack.
What ships with your purchase
Prompt files
Plain Markdown files with `{{variables}}` you fill in, ready to paste into ChatGPT, Claude, or Gemini. No setup, no tooling required.
Usage guide
Variable reference, model compatibility, examples, and customization tips so you can adapt the pack to your brand voice.
Lifetime updates
When we improve the pack, you get the new version automatically. Email support included with every purchase.
Models tested: ChatGPT, Claude, Gemini.
The workflow inside this pack
4 composable prompts you run in order — each one picks up where the last left off.
- Step 1
Failure Classifier
Paste your trace or description of the misbehavior — the classifier maps it to one of seven failure layers.
- Step 2
Layer Isolation Protocol
Feed in the Failure Classifier output — get a set of isolation probes tuned to your specific failure layer.
- Step 3
Root Cause Interview
Answer a curated set of layer-specific questions about your system — prompts, tool configs, memory setup, context assembly.
- Step 4
Fix Verification Checklist
Describe the fix you applied — the checklist generates layer-specific verification tests drawn from your isolation probes.
Perpetual (lifetime) use license
Your one-time purchase includes an ongoing right to use this prompt pack with the AI tools and models you control for your own and your clients' work — not for resale or public redistribution of the files as a product.
We keep the copyright
The prompt files, guides, examples, and bundled assets stay our copyrighted works (or our licensors'). Payment grants the limited license in our Terms only — it does not transfer ownership.
Need help adapting this prompt to your team? Add Prompt Customization Service at checkout.