From work requested to work checked.
Your AI owns the task. OPERE brings together context, scoped resources and a way to check the result. You authorize its boundaries.
Connect your AIAn environment follows
the whole piece of work.
Follow context, conditions, resources and artifacts in one flat workspace. Open the relationship view when you need to see what depends on what.
Take the full walkthroughYou set the boundaries
Authorize machine access and define the permitted scope. The browser connection lets you inspect work; it cannot issue machine grants.
OPERE forms the environment
Outcome states the intended result. Observe grounds work in authorized source context. The environment exposes its requirements, resources and any blockers.
Your AI does the work
The calling AI uses the checked conditions and produces the candidate. Environment readiness means work can begin, not that the task is complete.
Evidence admits the result
Registered checks evaluate the current artifact. Failed checks return work for revision; changed sources make prior evidence stale.
Accept, then release
The calling AI explicitly accepts the current verified candidate and separately requests cleanup. Artifacts and history remain inspectable after resources are released.
Live work and walkthrough are separate.
The live workspace reads your paired machine state. The walkthrough uses sample environments to show the complete journey, including prototype account authorization and physical work. Walkthrough actions do not call the runtime.
What you can use today
Local private formation, registered coding and JSON report work, isolated native checks, HTTP and MCP access, source revisions, explicit caller acceptance and retained evidence.
Availability depends on a configured model service, isolated executor and running worker. General-domain formation, continuous sensing, physical actuation and distributed provisioning remain unavailable. Account authorization and resource-grant flows in the walkthrough are prototypes.
Read the operating boundaries