Three ways to put an agent (or a builder) to work.

A custom AI agent designed, built, deployed, and tuned against your real workflow.

You get:

• Discovery and workflow mapping
• Agent architecture tailored to your stack and data
• Weekly progress reviews — no three-month black boxes
• Production deployment on your infrastructure or mine
• 30 days of post-launch tuning

Typical timeline: 4–8 weeks depending on scope.

Best for: A specific, repeating task you want handled — guest messaging, lead qualification, support triage, internal ops.

Ongoing operation of an agent already in production — yours or one I built.

You get:

• Monitoring and edge-case handling
• Prompt and tool refinements as your business shifts
• Monthly performance and cost report
• Direct access to me — not a ticket queue

Typical commitment: Month-to-month, no long contracts.

Best for: Owners who don't want to babysit an LLM in production.

Full-stack builds when an agent isn't the right tool. Internal apps, integrations, data pipelines.

You get:

• One senior builder, end-to-end
• Production-grade code, not demoware
• Documented and handed off — not held hostage

Typical timeline: Scoped per project.

Best for: Teams that need real engineering but can't justify a full hire yet.