Baseline vs Humanloop

Humanloop and Baseline both help teams judge and improve their AI. The difference is the loop: Baseline turns each evaluation into a Rubric you re-run on a Schedule and hand to an Optimization Run that rewrites the prompts for you — so improvement is automatic, not another task on someone's plate.

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 Humanloop, side by side

How they compare	Baseline	Humanloop
Rubric-based scoring of AI outputs	Weighted criteria authored in the UI; every Eval Run returns one overall score the whole Team can read.	Provides evaluators including human and LLM-as-judge, managed in its UI.
Scheduled, recurring evaluations	A Schedule re-runs a Rubric on a cadence against a connected System and surfaces regressions automatically.	Runs evaluations 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.	Focuses on prompt management and versioning; prompt changes are author-driven.
Who it's built for	Non-technical and technical teammates share one workspace; Readonly Members can view results without editing.	Aimed at product and engineering teams collaborating on prompts.
Getting started	Free tier with no credit card; create a Rubric in the browser.	See Humanloop pricing for current plans and trial details.