Want it shipped, not taught?
Some teams don’t need a course — they need a working AI agent in production by next quarter. That’s the day job: I’m a Forward Deployed Engineer who ships enterprise voice and multi-agent systems. Fixed scope, real outcomes, no “AI strategy deck.”
Outcomes, not “AI”
Ships enterprise customer-facing AI agents as the day job (Lindy, prev Bland).
The hard lane — production voice and prompts that survive contact with users.
You work with the engineer who builds it, not an account manager.
Three ways to work together
AI Implementation Audit
A senior look at where AI actually moves a number in your business, and a concrete build plan to get there. Self-contained — you keep the plan whether or not we go further.
- →A prioritized map of AI opportunities scored by ROI
- →A one-page cost model: current spend vs projected savings
- →A build plan you could hand to any team
Ship one working agent
One real AI agent, in production, in a month. Voice, support, or a multi-agent workflow — built, evaluated, and handed over working, not a prototype.
- →A production agent wired to your systems
- →An eval suite so you know it’s good — and stays good
- →Docs + a handover so your team can run it
Fractional AI engineer
The one who keeps your AI in production working — tuning prompts, watching evals, shipping the next agent. Predictable senior capacity without a senior hire.
- →Ongoing build + optimization capacity
- →Monitoring, evals, and incident response
- →A roadmap that compounds month over month
Rates reflect senior AI implementation work (independent AI consulting runs $150–700/hr; real-time & voice sits at the top of that band). Scoped fixed-fee, so you’re buying an outcome, not a meter.
The Mirror System
Before you spend a dollar, clone a working reference agent I’ve open-sourced and read the teardown. It’s the fastest way to see how I build — and whether you’d rather do it yourself with the free tracks.
Shipping with the newsletter — join to get it.