Turn workflows and tribal knowledge into reusable agent skills. Run them on a governed runtime that improves with every execution.
Package your expertise as agent skills (SKILL.md). Define workflows, quality gates, and subagent prompts.
Deploy skills to workspaces. Agents execute through a ReAct loop — observe, think, act, evaluate.
Review every action before execution. Your edits become training signal. Skills compound over time.
Queue-based agent loop with quality gates, subagent dispatch, and trace capture.
Every non-safe tool call pauses for your review. Approve, reject, or edit before execution.
Organization > Workspace > Execution. Multi-tenant with configurable auto-approve policies.
Every cycle logged. Human edits captured. Skills improve from real usage data.
LLM proposes, you approve, system executes deterministically. 25 tools across 6 namespaces.
D1, R2, Vectorize, Queues. @cloudflare/shell for virtual filesystem. Millisecond cold starts.
From our first production deployment
A 45-person Malaysian law firm needed standardized onboarding documentation for new clients. Previously took a senior associate 2-3 hours per client. Our agent produced a complete personalized package in under 5 minutes.
Pay for what you use. No subscriptions required.
We capture institutional know-how, operationalize it into governed agent skills, and continuously improve through decision-trace learning.
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