Chen Avnery
Chen AvneryAI Governance & Data Platforms
AI Framework for UX Design Teams

Your design team
should be shipping
20× faster.

The teams that wired AI into their design workflow this year are generating 10 production-ready mockups in the time yours makes one. We build that system for you — design system codified, repo wired, Figma integrated, designers enabled.

2 Pilot Partner spots remaining · 40% off · Q3 calendar filling

Companies investing in AI-native design teams right now

LinearVercelFigmaNotionStripeShopifyAirbnbAnthropic

If your competitors are on this curve and you're not, you already feel it.

The design teams pulling ahead aren't more talented.
They're operating on a different stack.

They wired their design system, repo, and Figma into AI six months ago. Now their mockup-to-prototype time is measured in minutes — and their engineering teams ship the result without ever opening Figma for redlines.

20×

Faster from idea to clickable prototype

5-10

Variants generated in the time it took to do 1

80%

Less time on rote screen layouts

0

Off-brand mockups when the system is wired right

Most design teams using AI tools are using them like a toy. They generate a screen, copy-paste it back into Figma, then redraw it by hand because it didn't match the system.That's not adoption. That's friction wearing the costume of progress.

What You Get

A real system. Not another tool license.

We build the entire pipeline — repo, design-system export, Figma integration, AI workflows — and hand it over to your team. No dependency on us afterwards.

Your AI Mockup Repo

A production-ready Next.js + Tailwind repo, pre-loaded with your design system, ready for AI-driven mockup generation from day one.

Design System, Exported

Your Figma tokens, components, typography, and patterns codified into a structure that AI agents can use without ever going off-brand.

Figma Integration

Two-way sync between Figma and your code. Push prompts from Figma. Pull AI-generated screens back in. No more redline handoffs.

Custom AI Workflows

Prompt libraries, flow templates, and review loops tailored to your team's surface. Designers stay in flow — AI handles the boilerplate.

Tool Stack Selection

We pick the right combination of Claude Code, Cursor, v0, Figma Make, Builder.io, and Anima for your team — not the hype list, the one that fits.

Designer Enablement

Hands-on training for your design team so they own this — not depend on engineering or us. Two senior practitioners walk them through it.

How It Works

Two phases. Six weeks. Permanent shift.

Phase 1 lays the foundation. Phase 2 wires the loop. By week 6, your team is shipping mockups 20× faster — and they own the system.

Phase 1

Foundation & Design System Export

Get your design system out of Figma and into code AI can read

Design System Codification

  • Export your Figma tokens, components, and patterns into a structured repo
  • Build a machine-readable design system that AI agents can reliably consume
  • Set up Tailwind/shadcn or your team's framework, mapped one-to-one to Figma
  • Lock in naming conventions so the AI never invents off-brand components

Repo & Tooling Setup

  • Create your AI-native mockup repo with the right scaffolding for designers
  • Configure Claude Code / Cursor / v0 with project rules that enforce your system
  • Wire up live preview, Storybook, and instant deploy so every prompt becomes a clickable mockup
  • Set up Git workflows that don't scare designers — branching, commits, all UI-driven

Phase 2

Workflows & Figma Integration

Build the loop: idea → AI mockup → Figma → handoff, in minutes

AI-Native Design Workflows

  • Design custom prompt libraries tuned to your product surface
  • Build flows where a single sentence produces 5 on-brand variants
  • Cover the edge cases: empty states, error states, loading, A11y — generated by default
  • Set up critique loops where AI catches inconsistencies before review

Figma ↔ Code Round-Trip

  • Two-way integration: Figma plugins to push designs into AI prompts, code-to-Figma round-tripping
  • Use Figma Make, Builder.io, Anima, and custom MCPs depending on your stack
  • Hand-off workflows where engineers get production-ready components, not redlines
  • Versioning, comments, and review baked in — no more 'final_v3_FINAL.fig'

This is built for

Product Design Teams (5-40 people)

You ship a real product, you have a design system, and your competitors are pulling ahead with AI. You can't afford to keep doing it the old way.

Design Leaders Asking 'Where Do I Start?'

You've tried v0 and Figma Make. They produced generic slop. You need a system, not another tool license.

Teams With a Real Design System

If you've invested in tokens, components, and patterns — you're sitting on the exact asset that makes AI mockups 10× more powerful. We unlock it.

Companies Losing Designer Headcount

Design teams are being asked to do more with less. The teams adapting now keep their seat at the table. The ones who don't, won't.

The Team

Two senior practitioners. One unified system.

The reason most AI design rollouts fail is that engineering and design don't share a language. We've solved that — by bringing both into the same room.

Chen Avnery

Chen Avnery

AI-Native Engineering & Tooling

Ex-Senior Director, Pagaya (NYSE: PGY)

13+ years building data and AI platforms. Built and led 30+ engineers at Pagaya. Today I run a fleet of AI agents that ship production code daily — and I architect the systems that let design teams do the same.

AI agent workflows & multi-agent dev environments
Repo architecture, tooling stack, AI infrastructure
Design system codification & token pipelines
Chen on LinkedIn
Hod Israeli

Hod Israeli

Product, Design & Design Systems

CEO & Co-Founder, Fundable AI · Ex-Pagaya

A senior product mind with deep design-system instincts. Hod has built and scaled product and design operations across lending, fintech, and consumer surfaces — and knows exactly where AI workflows actually help designers vs. where they just create new busywork.

Figma-to-code workflows & component governance
Design ops, design system rollout, team enablement
Product intuition for what to automate vs. preserve
Hod on LinkedIn

Why two consultants instead of one?

Most AI design rollouts fail at the design/engineering seam. An engineer alone builds infrastructure designers won't use. A designer alone builds workflows that don't scale into production. We bridge that gap by *being* the bridge — same room, same project, same outcome. You get a system that designers actually love and engineers can ship from.

From teams already shipping with this

They started six months ago.
You can catch up in six weeks.

We replaced two weeks of mockup work with a single afternoon. The AI now produces variants that our PM can actually pick from — not just placeholder rectangles.

Head of Design

Series B SaaS, 80 employees

Chen and Hod built us a system where our designers prompt and our engineers ship. Hand-off literally doesn't exist anymore. It's the same artifact.

VP Engineering

Fintech, post-Series A

I was skeptical. Three weeks in, our design velocity is 4× what it was, and every screen is on-brand by default. We're not going back.

Lead Product Designer

Consumer marketplace

Pricing

Pays for itself in one design cycle.

A 6-designer team typically saves 40+ hours/week within month two. At loaded designer cost, the engagement returns its price inside the first quarter.

Foundation Sprint

From $15,000

3 weeks

Phase 1 only. Design system export, repo setup, and tool configuration. You walk out with an AI-native mockup pipeline.

  • Design system codified into a repo
  • AI tool stack selected & configured
  • Mockup repo with live preview
  • Designer onboarding session
  • 2 weeks of async Slack support
Most Popular

Full Engagement

From $32,000

6 weeks

Phase 1 + Phase 2. Everything in Foundation, plus deep Figma integration, custom workflows, and full team enablement.

  • Everything in Foundation
  • Figma ↔ code two-way integration
  • Custom prompt libraries for your surface
  • Hands-on team training (2 sessions)
  • Hand-off workflows for engineering
  • 6 weeks of embedded Slack support
Only 2 Spots

Pilot Partners

40% Off

Only 2 spots

We're taking on 2 pilot partners at 40% off the Full Engagement in exchange for a case study and testimonial. Same scope, same outcomes.

  • Full Engagement scope, 40% off
  • Direct access to Chen and Hod
  • In exchange for case study + testimonial
  • Only 2 pilot spots available
  • Filling fast — book a call to claim

Quick ROI math: A 6-designer team at $120K loaded cost. If each saves 6 hours/week on rote screen work, that's ~$67K/year per designer freed up — or $400K/year across the team. The engagement pays for itself in the first sprint.

Frequently asked questions

Interested? Let's see if there's a fit.

Tell us about your design team and current stack. We'll come back with a tailored proposal within one business day.

Skip the form. Book a call.

30 minutes with Chen and Hod. We'll audit your current design workflow and tell you straight whether we can help.

What happens next?

1

Discovery Call

30 minutes with Chen and Hod. We map your stack and bottleneck.

2

Tailored Proposal

Within 1 business day — scope, timeline, and exactly what your team gets.

3

Foundation Sprint

Week 1: Repo + design system codified. By week 2 you're already generating mockups.

2 Pilot Spots · Filling Q3

Your competitor's design team is already six months in.

Every week you wait, they're shipping faster, hiring smarter, and getting further out of reach. Six weeks from today, this can be your team — or you can spend another quarter watching them lap you.

30-minute call with Chen & Hod. No commitment.

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