Start on frontier open weight models through one endpoint. Every completed task becomes training signal for models you own.



The race was in cart settlement. Tests are green and the pull request is ready for review.
Every task your agents finish is captured, bound to the outcome that followed it, and folded into the next version of a model you own.
Task success on repeat production work, Allocate against the agent builders and frameworks most teams start with.
Every agent runs on its own computer in your cell, on schedules or on demand. Write paths stay human approved.
Two accounts were double charged on retried windows. The credit notes are drafted and waiting for your approval.
Agents recall lessons before every turn and refine what they learned after every outcome.
Every task lands as an experience record. Recorded outcomes label it, and compaction turns the set into adapters you own.
Route any of them by name, switch without a deploy, and fine-tune the open weight ones into a model you own.