Idler builds reinforcement learning environments that teach AI models to code at an expert human level, converting real engineering work into training environments graded against a working result. Filed under coding, finance, science, and defense, and read three ways as Scantron, Movable Type, or Edition.

team@idler.ai

1. PerceiveFind where coding agents break on real engineering work.
2. RepresentTurn the task into an environment with a checkable result.
3. BuildStand up the repo, the tests, and the grader.
4. ScaleMass-produce variants; the early ones become training data.
5. MeasureScore where models fail, and aim the next environment there.