AI agent development
AI agents that do real work, not theater.
We build custom AI agents where they replace real manual steps — intake, triage, follow-ups, and internal ops — with logging, permissions, and human override built in.
Most "agents" are chat widgets
A useful agent needs tools, state, and failure modes — not a longer system prompt.
No access control
Agents that can read everything are liabilities. We scope what each agent can see and do, server-side.
Unbounded autonomy
We design checkpoints, approvals, and rollbacks so automation doesn't silently corrupt production data.
Cost surprises
Token burn without caps kills unit economics. We add monitoring, caching, and model routing where it helps.
What we build
Workflow agents
Agents that call your APIs, update records, and notify humans when confidence is low.
Customer-facing assistants
Support and intake flows grounded in your docs and policies — with escalation paths.
Internal ops automation
Back-office tasks your team does by hand today, with audit logs for every action.
Evaluation & rollout
Test sets, staging rollout, and metrics so you know when an agent is ready for prod traffic.
Questions founders ask
AI product development covers broader in-app AI (search, summaries, copilots). Agent development focuses on autonomous or semi-autonomous workflows with tools and side effects.
Start with a narrow pilot.
One workflow, a written success check, and a fixed quote before the agent can change anything.
Discuss an Agent Pilot