Baseline vs Braintrust

Both Baseline and Braintrust help teams measure whether their AI is good enough to ship. The difference is what you do next: Baseline turns each evaluation into a Rubric you can re-run on a Schedule and hand to an Optimization Run that improves the prompts for you — so quality keeps climbing without an engineer babysitting it.

Why teams choose Baseline

Score AI outputs against a Rubric your whole team can read — no notebook required.
Put quality on autopilot: a Schedule re-runs your evaluations and flags regressions before customers do.
Let an Optimization Run rewrite weak prompts for you, then prove the lift against the same Rubric.

Baseline and Braintrust, side by side

How they compare	Baseline	Braintrust
Rubric-based scoring of AI outputs	Weighted criteria authored in the UI; every Eval Run returns one overall score the whole Team can read.	Supports custom scorers and LLM-as-judge evaluations defined in code.
Scheduled, recurring evaluations	A Schedule re-runs a Rubric on a cadence against a connected System and surfaces regressions automatically.	Evaluations are run from the SDK or CI; recurring runs are wired up by the user.
Automated prompt optimization	An Optimization Run searches for better prompts and proves the lift against the same Rubric.	Offers prompt playground and experiment tracking; prompt search is user-driven.
Who it's built for	Non-technical and technical teammates share one workspace; Readonly Members can view results without editing.	Developer-first platform centered on the SDK and code-defined evals.
Getting started	Free tier with no credit card; create a Rubric in the browser.	Free tier available; see Braintrust pricing for current limits.