I keep up with AI
so you don't have to.
If you run a funded startup or a growing company, you already know the feeling: a new model drops, a new tool gets hyped, and everyone looks to you to figure out what it means. It never stops.
I work on retainer as your fractional AI lead — one trusted person who tracks the firehose, filters the noise, and puts the few things that actually matter to work in your stack. (Some companies call this a fractional Chief AI Officer — same role, less jargon.)
Does this
sound familiar?
Funded startups and growing companies with revenue and no time. If none of these fit cleanly, talk to the duck and it'll route you.
AI moves faster than your roadmap.
A new model drops every two weeks. Your team debates tools while competitors ship. A fractional AI lead tracks all of it, filters the noise, and keeps your stack pointed at the things that actually compound.
You're the one fielding every AI question.
Your team looks to you when a new tool lands. You don't have time to evaluate every release, but you also can't afford to miss the one that changes your ops. I do that work on retainer so you don't have to.
Adoption is uneven and the wins are accidental.
Some people are using AI daily. Most aren't. A fractional lead audits what's working, closes the gaps, and makes sure the few tools that matter are actually used — not just paid for.
One person.
The whole picture.
A fractional AI lead isn't a consultant who shows up with a deck. It's an ongoing relationship — someone who knows your stack, tracks the field, and tells you what to do next.
Not sure what you actually need? Talk to the duck and I'll tell you the right scope.
Signal filtering
A new model or tool drops every week. I read the releases, run the evals, and tell you which three actually matter — so you're not reacting to every announcement.
Stack decisions
Which model for which job. Which agent framework is actually production-ready. Which integrations are worth the implementation cost. Opinionated recommendations, not a list of options.
Agents & automation
Long-running, tool-using agents that own the repeated work — research, content drafts, ops triage, code review. Scoped to what your team actually does. See AI automation.
Integrations
MCP servers and API wiring into the systems you already pay for — CRM, CMS, analytics, support, repos, drives. Connected to your stack, not a demo environment. See AI consulting.
Monthly retainer
One person, on retainer, keeping up with AI so your team doesn't have to. Available for decisions, reviews, and rapid-fire questions without spinning up a full engagement.
Team rollout
Role-specific configs, walkthroughs, and a written playbook. The point is the team is using it in month three — not just month one.
Not every tool.
The ones that ship.
and which are still demo ware.
From talk to
on retainer in three steps.
Solo. No agency layers, no AE handoffs. The person you talk to first is the person on retainer — one relationship, not a rotating cast.
Talk to the duck →- Step 01
Talk to the duck
Free 5-minute conversation. Walk me through where your team is today and what's slowing you down. No deck, no funnel.
- Step 02
Get a scoping brief
I send a one-page brief: what the retainer covers, which problems we tackle first, what's out of scope. Sign or pass.
- Step 03
I keep up. You ship.
On retainer, I track the firehose and filter it to what matters for your specific context. You get clear decisions, not a list of things to evaluate.
Stop fielding every
AI question yourself.
Free 5-minute conversation. Tell the duck what your team is dealing with today and you'll leave with a one-page scoping brief and a clear shape for what a retainer looks like.
