Using AI isn't the same as
being AI-native.

Find your level — and your org's. Most leaders are stuck at Level 2.

MIT engineer. Built and sold companies. Now in the field with operators.

Where do you actually stand?

Two sliders — one for you, one for your company. Pick the level that fits. I'll show you what I'd work on with you next.

Where do I stand?

"I use AI daily. I've gotten real value but it lives in browser tabs."

  • Stop tab-hopping. Move into a Claude Project or custom GPT for your top 3 tasks
  • Capture your context once, reuse it everywhere
  • Pick one decision you make weekly and codify the framework

Together we'd build your starter OS in a Thesis Sprint.

Where do we stand?

"We license Copilot, Glean, ChatGPT Enterprise. Adoption is uneven."

  • Audit what your $60K/year in licenses actually delivers vs. what a portable artifact would
  • Pick one workflow per team to rebuild — not retrofit — with AI
  • Train your power users into internal champions, not Glean admins

Together we'd run a Thesis Sprint to scope your next AI build.

Want a written assessment and a proposal scoped to where you actually are?

Send me your levels →

The AI revolution is happening. Most people are watching it on a webinar.

Three things are true at once. The tools are getting better every month. The cost of building is collapsing. And the gap between people who use AI and people who operate it is widening fast.

Most of what's on offer doesn't help you cross that gap. Online courses you'll never finish. SaaS wrappers that lock your data behind someone else's UI. Big-firm consultants who hand you a deck and disappear. Vibe-coded prototypes nobody can maintain.

You don't need any of that.

You need someone who sits beside you, builds with you, and leaves you with artifacts you own — your data, your prompts, your context, your code. Portable. Forkable. Yours.

That's what I do.

Own your AI. Or someone else owns your business.

01

Sovereignty.

We teach the fundamentals — prompts, context, agents, harnesses — not which SaaS vendor has "AI" stickered on the box. Models get smarter and cheaper every quarter. Teams that own their fluency compound. Teams renting it forever don't.

02

Coaching, not building.

We try not to build for you — we coach you and co-build with you. The point is your team leaves with the skills, not a dependency on us. Otherwise we're just another vendor.

03

Operator-rooted.

We've been in the seat — built products, shipped to production, raised capital, sold companies. The coaching comes from scars, not slides.

Frame & Coach → Build & Teach → Read the Signal → Scale or Kill.

Every step is half work, half coaching. You don't hire me to do AI for you — you hire me to become someone who can. Most consulting jumps to "let's build a chatbot." I don't. The biggest leverage usually shows up two questions earlier.

01

Frame & Coach

Week 1. We map your business, your stack, your data — and write an opinionated thesis with two or three candidate bets. You learn the frameworks while we write it. Coaching starts here, not later.

02

Build & Teach

Weeks 2–3. Real code, real prompts, real configs — not slideware. You learn the tools while we ship: prompts, context, agents, harnesses. Cost of building has collapsed; we use that, and you learn how.

03

Read the Signal

Week 4. Real users, real data. You learn to tell AI signal from noise. We size validation to risk — not to bill more hours.

04

Scale or Kill

Week 5+. Three paths: build it together, hand off a plan your team owns, or kill it and bank the savings. By now you can make the next call without me in the room. That's the point.

30 days to become measurably more AI-native — or you don't pay the final invoice.

Three proof points. Not my opinion — yours, your board's, and your own hands. If you haven't moved up the scale by Day 30, the final invoice is voided and I keep working until you do, on me.

01

Move up the scale.

Day 1, you rate yourself on the 0–5 AI-Native scale. Day 30, you rate yourself again. You'll have moved up at least one level — or you don't pay the final invoice.

02

A six-figure bet.

By Day 30 you'll have a quantified AI bet — modeled, validated, signed off by you — worth six figures in revenue or efficiency on your business. Something you can defend to your board.

03

An artifact you built.

Not a deliverable I handed you — an artifact you built with your own hands during the engagement. Portable, forkable, yours. The proof you can do it again without me.

Haven't rated yourself yet? Scroll up — the calculator at the top of this page is the same one the guarantee runs on.

Real artifacts. Real businesses. Yours when we're done.

Rent A Pool Boise

Brand identity, marketing site, interactive estimator with Google Maps service-area validation, early-bird pricing, partial-lead capture, GA4 funnel, and a Sheets back-office on Apps Script. Zero to operational in weeks.

rentapoolboise.com

Azure Health

A practitioner launching a new integrative practice — combining nervous system regulation, energy work, and medically guided care — needed a strategy and a credibility-grade web presence that could speak to both clinical and energetic audiences without losing either one.

azurehealthco.com

Personal AI Operating System

File-structured personal OS — identity, thinking models, voice, network CRM, projects, goals. A LinkedIn analyzer that reads 6,000+ connections and ranks them weekly. Automated lead generation surfacing 5–10 warm prospects. All in plain text, all in Git, all portable.

See all work →

I'm Gabe. I build with people, not for them.

I trained as a mechanical engineer at MIT, then spent the next decade building software companies — Grove Labs (acquired by LG), Imbellus, Revonate (CTO), Maxable (CEO), and most recently LeanLaw, where I led product through the company's pivot from SaaS billing into payments and financial services.

Somewhere in there I walked the Appalachian Trail. 2,181 miles. Six months. The most useful thing it taught me: the right pack is the one you can actually carry.

I think about software the same way. The right system is the one you can actually run.

Gabe Blanchet, founder of Fieldwork AI

Boise, Idaho. Husband, father of two, builder by training.

Things I'm thinking about. Posted occasionally.

Short, opinionated essays on AI implementation, sovereignty, and the messy reality of operating with these tools. No newsletter spam. Posted when I have something worth saying.

Read Field Notes

Subscribe at gabeblanchet.substack.com

Field Notes is hosted on Substack. New posts go out there as I write them.

gabeblanchet.substack.com