2-AM-Debugging
Rescue AI workflows that are too important to keep guessing.
For teams with AI systems that are live, almost live, or politically visible, this service focuses on diagnosis, stabilization, and production confidence.
Bring the broken workflowProduction AI breaks differently.
The demo works, but production users expose edge cases.
Prompt changes fix one thing and quietly break another.
APIs, tools, or data sources fail without clean recovery paths.
Nobody can explain why the AI behaved a certain way.
Rescue method
From panic to a system your team can reason about.
Trace
Map the failing path across prompts, retrieval, tools, data, and handoffs.
Fix
Patch brittle logic, bad assumptions, missing validation, and weak context boundaries.
Harden
Add evaluation, observability, review paths, and fallback behavior.
Handoff
Leave the team with clear ownership, runbooks, and next engineering moves.