The continual learning layer for AI agents

Moda turns production agent traces into validated improvements for your agent harness.

LearnedNew signalsWatching
learned · new signals · watching
User correction · "refund still pending"1,284 corrected
Moda learned the canonical policy answer. Prompt patched Mon.
Tool learning · stripe.refund9.6% → 1.4%back to baseline
Schema drift detected. Moda relearned the new arg shape, shipped to 23 agents Tue.
Workflow loop · lookup_order → search_kb38 → 0 sessionseliminated
Loop pattern learned. escalate_to_human gate added, retries dropped 96%.
Emerging intent · Apple Pay refunds412 new0 last week
No prior handler. Queued as the next eval + tool.
Cohort learning · guest checkout misses218 cohortnew
Moda learned the missing field. Email-only lookup proposed.
Model behavior · professional tone regression+3.1pt refusal vs v3.1monitoring
Behavior change flagged for the next eval set.
Continual learning · Last run 4h ago
THE CONTINUAL LEARNING LOOP

From broken traces to validated fixes

Diagnose Production Failures

Moda analyzes your agent logs to find where each run broke, why it failed, and whether the issue came from the prompt, tools, workflow, memory, model, or product logic.

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Generate Concrete Improvements

Moda turns repeated failure patterns into specific fixes your team can review: prompt changes, tool updates, workflow edits, verifier gates, eval cases, and reusable skills.

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Validate What To Ship

Moda tests proposed improvements against your historical production traces, measures impact and regressions, then recommends the fix most likely to improve your agent.

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WHY MODA

Built around the trace-to-fix loop

Moda follows the same loop in production: diagnose where agent runs break, generate concrete harness improvements, and validate candidate fixes against historical traces before your team ships.

Find where each run broke, why it failed, and whether the issue came from the prompt, tools, workflow, memory, model, or product logic.

Diagnose
40%60%80%100%w1w4w894%
Failure-source coverage · higher is better