Agent Runtime
The execution layer for event-driven agents: routing, tool calls, approvals, memory, retries, traces, and deployment controls.
Production AI is not a prompt. It is a system of context, tools, permissions, traces, evals, and feedback loops.
Not a chatbot
Production agents need more than a prompt. They need a runtime that can react to business events, choose tools, enforce policy, and leave an audit trail.
- Event triggers and workflow routing
- Tool calls through governed interfaces
- Human approval gates for high-risk actions
- Traceable execution with replayable context
Launch pattern
We start with constrained workflows, add observability from day one, then expand autonomy only where traces and evals prove the system is stable.
Related resources
A governed catalog of tools, schemas, permissions, and usage policies that agents can discover and invoke.
Approval gates for workflows where correctness, risk, or accountability require human judgment.
Evaluation suites that mutate prompts, models, retrieval policies, generated code, and node structure before promotion.