Agent policy & guardrails
Rules as code, not prose. Deterministic dispatch, evidence-validated completion, scoped tools per step. Your agents stay bounded, auditable, and safe to hand real work.
// agent infrastructure, drafted to production
dynovo designs and ships the agent policy, orchestration, and model infrastructure that let mid-market teams run agentic development in production — not in a demo. We draft the rails your competitors haven't started drawing yet.
Rules as code, not prose. Deterministic dispatch, evidence-validated completion, scoped tools per step. Your agents stay bounded, auditable, and safe to hand real work.
Coordinate bounded-autonomy agents across repositories with measurable progress and objective completion. Dependency graphs, automatic blocker resolution, no uncontrolled interaction.
Reproducible local model workspaces — blueprints, build plans, verified runtimes. Routing, context patching, lease and idle management. Your models, pinned and explainable.
Traces, regression suites, and drift detection so agent quality is measured, not vibes-guessed. Know what changed, what regressed, and what to ship — before and after every change.
Inventory capability, data, and risk. Find the 2–3 processes where agents compound most for your margin.
Design the architecture around your real data, latency budget, compliance, and the humans who stay accountable.
Not a demo. Real traffic, real eval, real rollback. We cut over with you watching the dashboards.
The compounding lives here. Tune, regress, improve — then hand over the keys and the runbooks.
Most teams will buy an AI feature. We draft the infrastructure that makes the next hundred of them boring to ship.// leverage > novelty
Tell us where work slows down. We'll come back with the two or three places an agent layer would genuinely compound — and an honest read on whether it's worth drafting.