Intelligence for developers and AI architects

Test the Project Perception public preview only in an isolated, approved-data environment.

Build a policy layer above model selection and log quality, latency, cost and risk signals.

In RAG, log the document version, retrieval score and citation; agent memory must not silently become authoritative knowledge.

For MCP and tool access: scoped capabilities, explicit schemas, network allow-lists, and human approval for irreversible actions.

Trace every supervisor decision, agent message, tool call, model version, cost, retry and compensation.

Test for prompt injection, confused deputy, cross-agent privilege escalation, exfiltration and poisoned memory.

Set SLOs for task success and safe failure - latency alone is not enough.

In edge, space and autonomy systems, separate perception, planning and control, with a deterministic safe state when confidence or connectivity drops.