Technology

The graph needs runs you can run again.

Tracing shows you what happened. Evals score a test set. Neither can re-execute the run that actually served your customer.

Capture

Lossless journal

Every step, the context assembled at each call, tool invocations, outputs. Enough to re-execute, not just read.

Structure

Clustered by intent

Runs grouped by what they were trying to do, so comparison is against neighbors rather than a global average.

Replay

Substitution on real traffic

Re-run history against a different model, prompt, or context strategy, step by step against what happened.

Safety

No duplicate writes

Side effects are held during replay. Re-running a run that charged a card doesn't charge it again.

Labels

Verdicts attach to runs

Human calls and downstream corrections bind to the execution that caused them. Labels nobody had to write.

Control

Runtime, not deploy-time

Routing, guardrails, and rollback resolved while the run is happening.

Why it's hard to copy

The graph is the moat, and it isn't portable.

An eval platform can tell you a model scored 0.91 on a set of examples. It cannot tell you what that change would have done to the four thousand conversations you served last month.

Capturing execution in replayable form is an architectural decision made before the first customer, not a feature added later. Provider-native tooling is single-model and single-tenant by construction.
On the platform risk everyone asks about

Two ways in

History first. The execution path when you're ready.

Start

Analyze exported history

We build the first graph, rank drift, and diagnose. Nothing touches your execution path.

Then

Sit in the path

Live capture, runtime routing, rollback, recovery. Fails open — if we're down, calls pass straight to your provider.

  • Redaction at capture, before anything is stored.
  • The graph is yours. Export it whole, at any time.
  • Read-only by default. We propose; you apply.
  • Provider-agnostic. A graph spanning models is the point.

Send us one week of past runs.

We'll come back with what your successful executions have in common, the few that stopped matching, and what we think changed. If we find nothing, we'll tell you that too.

Start a design partner conversation