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Chronicle helps you grade and compare AI agents on the work they actually do. Agents run tasks in a world: a simulated system with tools, data, and a defined starting state. Worldsmith builds that world from your description, from a single service to a workflow across connected tools.

How grading works

  1. Define success. Write a task and attach scorers that check its requirements. Code checks concrete outputs or recorded changes; an LLM judge assesses qualities such as clarity or completeness.
  2. Run and score. Run tasks in fresh copies of their saved starting world. Scorers return a value from 0 to 1; set pass thresholds to determine whether each required check passed.
  3. Compare and improve. An evaluation runs a suite of tasks. Compare agent versions on the same tasks and starting state, then inspect the recorded actions behind each score to understand failures.

Run your first evaluation

Launch an example world, run your agent against its tasks, and inspect the results.

Four things to know

A grading example

The quickstart’s duplicate-invoice task has two checks, each with a pass threshold of 1:
ENG-2 is in progress for order 7001; case 00001001 remains open.
The handoff check requires that exact text. Checking that the case actually stayed open requires a separate scorer; the starter does not include it. Tasks and scorers covers writing checks. Run an evaluation explains how to compare versions and follow scores to their evidence.

Ways to use Chronicle

Dashboard

Build worlds, write tasks, and run evaluations in the browser.

API and SDKs

Automate workflows with Python, TypeScript, JavaScript, Go, or Rust.