Index Braintrust experiments, evaluations and logs so AI product teams get cited answers about quality, regressions and prompt behaviour.
Representative data is enough. No production access required for the first demo.Braintrust connects through an admin-defined boundary. Each object type below lists what Linkence reads, the scope condition that applies and the limitation you should know about before the first sync. Your Braintrust account remains the system of record.
Scores, comparisons and summaries
Selected projectsTrace and span content within scope
Selected projectsHigh-volume logs are sampled per project configurationFind · Prepare · Act
Pair Braintrust with Github, Linear, Slack and the answer stops being a search result. Evidence arrives from every connected system, and the next step waits for your approval.
The failing spans, the diff and the discussion, cited
Bring one of these to the demo on representative data. Every answer arrives with citations that open the original Braintrust record.
Every answer reflects the verified connector behaviour, never generalised.
Admin-selected projects; Experiments, evals and scoped logs; Citations to the exact experiment.
Projects outside the connected scope; Writing back into Braintrust; Unbounded log ingestion.
Scheduled sync through the Linkence indexing pipeline. Scope: Admin-selected projects.
The Braintrust connector is read-focused. Writes happen through connected companions, for example a grounded reply in mail or an approved update in chat, always with approval.
We will show how Linkence finds the relevant context, presents the work and keeps every sensitive change under your team's control.
Representative data is enough for the first demo. No production access required.