From you
Provide a request and relevant context. Your AI works within the authorized environment you set.
Start with your work Web intake prepares a handoff to your AI. It does not dispatch work.Give your AI the conditions to turn requested work into useful work.
1 / 5The AI has a request. Its context is scattered.
Weaver represents your AI. Illustrative journey; no live provisioning.
An AI can reason about the work and still lack usable context, available capabilities or evidence that the result holds up.
Provide a request and relevant context. Your AI works within the authorized environment you set.
Start with your work Web intake prepares a handoff to your AI. It does not dispatch work.Connect once. Within existing authority, your AI can initiate requests and choose Outcome or Observe automatically.
Automatic path selection belongs to the connected integration. Inference cannot expand authority.Give your AI a supported invoice report task. It can submit current sources, work within authorized conditions and return a candidate for checks.
Connect your AIA concrete example: a source-cited invoice report, checked and accepted.
The caller supplies supported JSON facts and line items.
The AI builds a structured report with source references and derived totals.
Native checks recompute facts and totals against current source hashes.
The caller explicitly accepts. Release removes temporary handles, not the retained record.
API and MCP are two surfaces of the same operating contract.
Integrate the operating contract directly into your AI system with authenticated HTTP requests.
View API documentationDefine what your AI may access and do. Policy checks grants and leases.
Supplied sources and artifacts are used within the registered operation.
Checks bind proof to exact content. Changed context invalidates affected proof.
Requests, artifacts and important changes remain inspectable after release.
A focused set of capabilities you can use now.
Local availability depends on configured inference, an isolated executor and a running worker. Roadmap items remain unavailable; no production performance guarantee is established.
Within existing authority, a connected integration can initiate requests and choose Outcome or Observe itself. Initial connection and legitimate authorization are still required. Consequential exceptions may require you.
Checked operating conditions: context, scoped resources, bounded operations and evidence within supported capabilities. Your AI retains ownership of its task. OPERE does not replace or train your model.
Current proof becomes stale when source context changes. The affected result must be revised and checked again before caller acceptance. Readiness alone never establishes completion.
Physical work is a design-only walkthrough. No device connects or acts today. Real adapters, authority, independent feedback and safe controls are still required.
Pricing is exploratory. Examples live on the separate Pricing page; active billing and production rates are not established.
Start with Developers and Documentation, or visit the Help center for connection guidance. A compatible client and reachable, authorized OPERE endpoint are necessary.