Production-grade, self-evolving AI agents

Build Agents
That Work.

AI that builds, tests, and upgrades agents — evolving its tools, prompts, sub-agents, multi-step evals by fixing it on each run.

Try:

How Does It Work ?

1
01

Describe

Tell us what agent you need in plain English

2
02

Generate

AI creates multiple agent architectures and versions

3
03

Test

AI creates and runs comprehensive test suites for all variants

4
04

Evolve

AI analyzes failures, applies fixes, and improves automatically

Working Beyond the Happy Path

Building agents that work for all your users from day 1

The Old Way

Using simple evals

  • Test only a single input → output response
  • Don't evaluate tool calls, routing, or memory
  • Cannot follow conversations or multi-step reasoning
  • Fail to catch issues that appear later in a flow
  • Provide scores but no guidance on how to fix agents
  • Not designed for complex agent architectures like ReAct, chains, or sub-agents
The Future

Using multi-turn evals with feedback loops

  • Evaluates the entire agent, not just the final answer
  • Runs full conversation flows with tools & reasoning
  • Detects failures caused by prompts, tools, or design
  • Generates fixes automatically and re-tests
  • Analyzes execution traces to find exactly where things break
  • Built for modern agent patterns: tools, sub-agents, workflows, and ReAct-style systems

Ready to Build Agents?