Trust decays as the world changes. Darwin adapts your agents to attacks and failures observed in production — and every change arrives as a pull request your team approves.
An agent that was safe last quarter is not safe now
The model changed, the tools changed, the adversaries changed. A static agent does not hold its score; it loses ground to a world that keeps moving. Re-testing tells you how far it has slipped — it does not close the gap.
The ground moves
New model version, new tool, new attack technique. None of them wait for your next release.
Findings rot in a backlog
An evaluation that produces a report produces work — work nobody has time to do.
Fixes do not compound
The same class of failure gets patched by three people in three places, and the fourth one ships.
HOW IT WORKS
Failures become pull requests
Darwin verifies every mutation and requires developer approval to merge — continuous improvement, not autonomous self-modification.
Darwin reads what Diamond found and what Dome saw in production, proposes a change to the agent’s prompt, config or code, and opens a pull request against your repo. Nothing lands without a human approving the diff.
New attacks, model updates, new rules, and data drift erode a static agent. Continuous improvement holds the line above the threshold your policy demands.
Darwin closes the loop of the Trusted Agent Lifecycle: evolve searches for a better agent before deployment, adapt hardens it in production. Every mutation is re-verified by Diamond before it ships.
