What Moda does
Moda is a monitoring and continual-learning layer for AI agents that turns production traces into validated improvements. It diagnoses where agent runs break, generates concrete fixes, and validates them against historical traces before anything ships, creating a closed feedback loop from production conversations.
Key capabilities
- Failure diagnosis across prompts, tools, workflows, memory, models, and product logic
- Conversion of repeated failure patterns into reviewable fixes, including prompt changes, tool updates, verification gates, evaluation cases, and reusable skills
- Replay of proposed improvements against historical production traces to measure impact and catch regressions
- Quality, cost, and risk assessment of candidate fixes with recommendations on the safest one to ship
Who it's for
Moda is built for teams running AI agents in production who need a systematic way to find and fix failures at scale. It addresses the manual debugging cycles that otherwise slow down improving live agents.