Takeaways

1 Agent continual learning is not only model fine-tuning.
Useful updates can land in the harness or memory, not just the weights.

2 Production logs are not learning environments.
They must be transformed into replayable tasks with evaluators.

3 The frontier is regression-aware continual improvement.
Fix the new failure while verifying you did not forget the old ones.

Try it out: relai.ai