For founders · AI-native · 0→1

I help founders build and validate AI products from 0→1.

You have the insight and the urgency. What's missing is someone who can shape the bet, ship a real v1, and put it in front of users — fast enough to learn, honest enough to kill what doesn't work.

Validate before you scale Ship v1 in weeks AI-native building 15 years · IIT Delhi
How it works

Most AI ideas die between deck and demo.

"We know AI can help — we just can't tell if this product is real until someone builds it and puts it in users' hands."

  • Agencies deliver slides. Dev shops need a spec you don't have yet.
  • Hiring a product team before validation burns runway and months.
  • Your engineers are busy on the core product — the AI bet keeps slipping.
  • You need someone who thinks like a founder, ships like a builder, and moves at startup speed.

A designer who ships — not a dev who mocks up.

Ten years shaping 0→1 products with founders — user interviews, psychology, conceptualization, then working with developers to get it built. AI-assisted coding closed the last mile. I validate AI bets with the same taste that shaped Zet, Tinkerly, and Countingwell before they scaled.

Typical AI builder

Starts in code. Adds UI from libraries. Strong on stack — thinner on why the product should exist and who it's for.

This loop

Starts in user psychology and product shape. Ships v1 with AI-native tools. Strong on thesis, taste, and honest validation.

Full craft story →

Build and validate — not just build.

Every step is aimed at one question: is this AI product worth compounding? I help founders get to a real answer — with software, not theory.

01 · Shape

Clarify the bet

Who is this for? What does "working" look like? We narrow the thesis until there's something testable — not a roadmap, a hypothesis.

02 · Ship

Build v1 fast

AI-native delivery with modern tools — agents, automations, full-stack when needed. A real product slice your users can touch, not a prototype that falls apart in a demo.

03 · Learn

Validate with reality

Put v1 in front of real users. Watch what they do. Double down on what works, cut what doesn't. You leave with evidence — not just code.

I've done this before.

WorkForce SaaS Hiring funnel for a real HR team — quizzes, training, assessments. Live private deploy; open demo. Built 0→1 for a company that needed it working, not pitched.
Opportunity OS AI discovery tool — ranked fit, narratives, ready-to-send outreach drafts. First instance on my profile as a live demo of how I build and ship AI products.
Zet · Tinkerly · Countingwell Early brand, product, and story work with founders before scale — naming, identity, app foundations. $18M+ raised across portfolio after foundations were set.
Cursor AI School Same enablement instinct packaged for founders — train someone on your team into an FDE while the product gets built. Sponsor-only track at differentthandefault.com/school.
Full portfolio →

This is for you if

You're a founder with an AI bet

Pre-seed to Series A. You have traction on something — or a sharp thesis on what's next — and an AI product idea that needs validation before you hire a team around it.

You want depth, not a vendor

Someone embedded in the problem — thinking, designing, and shipping in one loop. Not an agency retainer. Not a slide deck. A founding product builder who stays in the 0→1 phase until there's proof.

I help founders build and validate AI products from 0→1.

A few lines about what you're building is enough. Tell me the idea, where you are, and what "validated" would look like for you.

ankitzen@icloud.com

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