Agent Foundry / Autoresearch
Improve While You Sleep
Turn real misses into new tests and better candidates, while your release rules stay in charge.
The improvement loop can explore overnight. Nothing ships until it clears your gates.
What this page delivers
A closed loop that learns from misses
- 1Capture miss
- 2Build challenge
- 3Try candidate
Result
CANDIDATE +14 CASES
Emu on the job
Original mechanism
A closed loop that learns from misses
Follow the work from input to a result your team can review.
Capture miss
Build challenge
Try candidate
Prove improvement
The question answered
Can an agent get better on its own without changing production by surprise?
Yes, when discovery and release are separate. Autoresearch finds hard cases, builds candidates, and tests them. Release control decides what can ship.
Three-step flow
From a clear input to a governed result.
Catch a new miss
Save a failed task, expert correction, or fresh attack as evidence.
Search for a better answer
Build candidates and challenge them with old and new cases.
Queue a proven candidate
Send the best passing version to a human-controlled release gate.
Capabilities
The controls teams need to go deep.
Failure harvesting
Turn reviewed misses into lasting test cases.
Candidate search
Try prompt, policy, tool, or model changes away from production.
Regression memory
Keep old lessons in every future test run.
Signed run records
Keep inputs, outputs, scores, and version details together.
Concrete product artifact
See the proof, not just a green light.
A realistic record keeps the result, the evidence behind it, and the next action in one place.
OVERNIGHT RUN
support-agent / research-038
- New misses added
- 14
- Candidates tried
- 28
- Regression suite
- 412 / 412
- Production changes
- None
› 01:12 miss cluster found
› 02:46 candidate 18 leads
› 03:03 release review queued
Buyer outcomes
Less guesswork. More control.
From misses
Make one correction useful forever.
Off production
Try changes without moving live traffic.
Before ship
Keep people and release rules in control.
Why Trinitite
Built for the full agent lifecycle.
Improvement is not deployment
Research can run freely while production stays behind a separate gate.
Old lessons remain tests
Every candidate must pass the cases that earlier versions already solved.
The work leaves a record
Teams can review why a candidate won and what evidence supported it.
Keep exploring
Connect this capability to the next handoff.
FAQ
Improve While You Sleep, answered.
Does autoresearch change production on its own?
No. It creates and tests candidates. Your release rules decide what can move into production.
What can start a research run?
A reviewed failure, expert correction, new policy, or new attack can become the seed for a run.
How do you prevent old skills from breaking?
Past successes and failures stay in the regression suite every new candidate must pass.
Can we see why one candidate won?
Yes. The run record keeps the candidate versions, cases, scores, and final gate result together.
Build with Agent Foundry
Turn tonight’s misses into tomorrow’s tests.
See how one real failure becomes a challenge, a candidate, and a review-ready record.