THE EVALARA RELEASE LOOP

Release AI with evidence at every stage.

Capture production behavior, challenge the candidate, gate the release, and learn from the outcome. Every stage adds to the same decision record.

Scope a pilot →Inspect architecture ↗
Release Loopsupport-agent / rc-28 Evidence connected
CLOSED ENGINEERING LOOP

One record follows every change.

04stages01release record
SHARED RELEASE RECORDcandidate · evidence · policy
Versioned · attributable · reviewable
01

Capture

482 tracesPrompts · retrieval · tools
02

Challenge

36 regressionsCases · scorers · segments
03

Gate

2 need reviewPolicy · judgment · decision
04

Learn

24h monitorQuality · latency · cost
Production evidence→Candidate pressure→Release decision→Observed outcome
A CLOSED ENGINEERING LOOP

Four stages. One release record.

Production evidence becomes evaluation pressure; evaluation becomes a release decision; the released behavior becomes evidence for what comes next.

01

Capture

Reconstruct prompts, models, retrieval, tools, retries, scores, latency, and cost.

↗02

Challenge

Pressure-test candidate behavior against production failures, expert cases, and critical segments.

↗03

Gate

Bring release policy, regressions, reviewer judgment, and promotion state into one decision record.

↗04

Learn

Connect production quality and economics to the cases and thresholds that shape the next release.

↗
THE RELEASE RECORD

The evidence follows the change.

Candidate, baseline, trace sample, dataset, scorers, regressions, cost, reviewer notes, acceptance criteria, and rollout state remain reconstructable together.

TURN THE LOOP INTO A PILOT

Make the next model change an evidence-backed release.

Choose one production workflow, define what must be captured and challenged, and agree the conditions for shipping and learning.

Scope a pilot →