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Troubleshooting

Find the failing layer. Fix the right thing.

When a workflow stops short, isolate the model, provider, runtime, tool, permission or source-data layer before changing multiple settings at once.

MRCO AI / TROUBLESHOOTINGSYSTEM READY
MRCO / EXECUTION LOGREADY
> request "Map out the workflow"
TOOL ROUTING
Windows / Browser / Knowledge
PLAN
01 · Understand intent
02 · Select tools
03 · Execute & verify
✓ READY FOR REVIEW
A diagnostic map

Start with the symptom

Use the message shown by MRCO AI, then test the smallest part of the stack that could explain it.

SymptomWhat to check firstNext step
App stops on startupError message, available disk space and runtime downloads.Review %LOCALAPPDATA%\AiDesktop\crash.log.
Online provider failsEndpoint path, API key, exact model name and proxy settings.Use Test and Fetch; check the final chat-completions URL.
Model replies but skips toolsTool Calling support and tool availability for this request.Run the model's Tool Calling test; try a compatible Instruct model.
Local model will not startGGUF path, llama-server runtime, RAM/VRAM and GPU settings.Try a smaller model or temporarily disable GPU offload.
Vision produces no resultVision model and projector installed, target window identifiable.Install/check assets in Features and try a focused screen question.
Microphone does not workWhisper installed, recording device selected and Windows permission.Test recording access, then retry speech input.
No spoken replySpeak Replies enabled and a compatible SAPI voice installed.Check whether the Edge TTS fallback can reach the network.
Semantic search returns nothingEmbedding model installed and the target folder indexed.Try a more specific query and verify file formats are supported.
File will not enter KnowledgeFile exists, read access, size and supported format.Note that scanned image-only PDFs may not contain extractable text.
Browser automation failsEdge/Chrome available, Playwright setup and target site access.Run the browser test before retrying the task.
Debug with discipline

Change one variable at a time.

Repeatedly switching providers, models and modes at once hides the cause. Preserve the exact error and validate each layer separately.

  • ✓Record the exact prompt, selected mode and model.
  • ✓Check whether basic chat works before testing tools.
  • ✓Test Tool Calling and browser/vision integrations separately.
  • ✓Keep secrets out of logs, screenshots and public bug reports.
ISOLATION SEQUENCE

01 Does the app start?
02 Does basic chat respond?
03 Is the selected provider healthy?
04 Can the model call the required tool?
05 Does the target integration work alone?
06 Can the result be independently verified?

OUTPUT One reproducible issue, one isolated cause.