Turn tribal knowledge into agent skills. Run them on a governed runtime that improves with every execution — approve each action, edit what the agent proposes, capture the signal.
Package workflows as agent skills — SKILL.md with prompts, reference knowledge, quality gates, subagent dispatch. Upload or let us co-author.
Deploy skills to workspaces. Each execution runs a ReAct loop — observe, think, act, evaluate — backed by @cloudflare/shell virtual filesystems and a sandboxed container for real code execution.
Every non-safe tool call pauses for your review. Approve, edit inline, or reject with feedback. Human edits become compound training signal; skills get better the more you use them.
The capabilities that separate a production agent platform from a prototype. Each earned its place after running in real workflows.
Queue-based agent loop with observe → think → act → evaluate cycles. Quality gates, subagent dispatch, trace capture, pause-and-resume across Durable Objects. Built from first principles on Cloudflare's edge runtime.
Skills declare deterministic verifiers. Outputs are checked before a run commits — tampered numbers, missing sections, leaked data — with honest coverage reporting.
Every non-safe tool call pauses. Approve, edit, or reject with feedback.
Every cycle logged, every edit captured. Skills compound from real usage.
Org › Workspace › Execution. Per-workspace auto-approve policies.
39 tools across 9 namespaces. LLM proposes, system executes deterministically.
D1, R2, Vectorize, Queues, Containers. Millisecond cold starts.
Previously this was a two-hour job for a senior associate. Our agent produced a complete, personalized onboarding package in under five minutes.
Pay-as-you-go credits — no subscription to start
We capture institutional know-how, operationalize it into governed agent skills, and continuously improve through decision-trace learning.
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