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world-model-optimizer

Optimized models for agent work, built from real traces.

Customer service agent

built from τ²-bench

Multi-turn customer-service tool use: look up a user, book or modify an order, and hold to the domain's policy across the conversation.

Quality, cost, and savings not yet measured

tool-callscustomer-servicemulti-turn

Terminal agent

built from Terminal-Bench 2.0

Command-line work in a container: inspect a filesystem, run shell commands, and read their output to drive a task to completion.

Quality, cost, and savings not yet measured

terminalshellcontainers

Code repair agent

built from SWE-bench

Repository-level bug fixing: read the failing test, navigate an unfamiliar codebase, and produce a patch that resolves the issue.

Quality, cost, and savings not yet measured

codepatchingrepositories

Build your own

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your traces → optimized model

Turn your own agent traces into a model served behind an OpenAI-compatible URL.

by Experiential Labs. Simulating reality for hypothesis testing.