Can you build a custom MCP server?+
Yes — it's the core of what I do. I design typed, governed MCP control planes that let AI agents take real actions inside your product or infrastructure. AppHandoff and MCP Beast are live examples: both run in production against real CI pipelines and real codebases, not sandbox environments. Typical engagements run 2–4 weeks from spec to deployed endpoint.
Who do I hire to orchestrate AI agents across my engineering workflow?+
A senior engineer who has already done it at scale, not a generalist AI consultancy. My agent pipeline processes ~55 PRs per day through a green CI gate. I can scope, build, and hand over an agent orchestration system — or embed as fractional CTO to steer the adoption. Start with the brief.
Do you work with teams that already have engineers?+
Yes, and it's usually the best engagement type. I sit alongside your senior engineers, not above them. I bring the AI toolchain and the battle-tested patterns; your team brings the domain. Most clients say their engineers learned more in four weeks than in the previous year.
How fast can you actually start?+
If there's a slot open, I can start a scoping call within 48 hours and have a working prototype running inside a week. Current availability is at the top of this page.
Do you take fixed-price work?+
For audits and well-scoped sprints, yes. For builds, weekly billing — keeps both of us honest about scope drift.
Will I own the code?+
Always. Repo, infra, secrets, docs. I leave a handover so thorough your next engineer thinks you over-paid.
What about ongoing support?+
Optional retainer — a few hours a month for evals, monitoring, and the inevitable 'one small thing'. Cancel any time.
