Paste a failing trace
Support logs, LangSmith exports, OpenTelemetry spans, and raw JSON transcripts are normalized into one inspectable incident record.
Developer AI tooling for production agent teams
Turn agent failures into regression evals.
Tracewright reads a broken tool-call trace, isolates the failure mode, and emits a reviewable Jest eval plus a deploy gate your team can trust.
90strace to test
42%fewer escaped regressions
SOC 2audit trail export
incident-4821.trace -> evals/booking-agent.regression.test.ts
ready
Input trace642 chars
Purpose
A practical launch surface for senior AI engineers.
The landing page starts with the primary job: prove that a failed agent run can become a durable test. Every section supports the buying question: will this fit our release process without inventing a new one?
Extract constraints
The compiler identifies user intent, tool evidence, policy boundaries, and the exact decision that caused the regression.
Emit reviewable evals
Generated tests are explicit, typed, and small enough for a code review instead of becoming an opaque benchmark file.
Block bad releases
Deploy gates run in CI and post failure diffs with trace snippets, model changes, and policy references attached.
Interface detail
Integration coverage is shown as evidence, not decoration.
The product page uses concrete artifacts: supported runners, failure classes, gate behavior, and reviewer outputs. That keeps the concept technical without turning it into a generic dashboard.
| Source | Import | Gate output | Status |
|---|---|---|---|
| OpenTelemetry spans | JSONL stream | Jest + JUnit | stable |
| LangSmith traces | Run URL | Pytest fixture | stable |
| Vercel AI SDK | middleware hook | GitHub check | beta |
| Custom agent logs | schema mapper | YAML policy | stable |
Structured design brief
A copy-ready brief generator inside the campaign.
This section translates the product concept into designer-facing constraints: purpose, layout, visual system, interaction states, responsive behavior, and implementation notes.
Generated brief
Offer
Start with one release gate.
Pricing is intentionally operational: trace volume, repository access, and review workflow depth. No vague seat math.
Lab
For a team proving agent regression coverage.
$290
per repo/month
- 2,000 trace compiles
- Jest and Pytest exports
- Slack failure summaries
Release
For production agents with CI gates.
$890
per org/month
- 20,000 trace compiles
- GitHub checks and JUnit
- Policy review packets
Regulated
For teams that need audit trails.
Custom
annual agreement
- Dedicated retention controls
- SSO and scoped projects
- Exportable audit bundles
Ship the fix with the test.
Compile the next escaped agent failure into a gate your reviewers can understand.