Read time: 6 minutes 43 seconds

Todayβs piece is a collab with the legends over at Figma, and their new product Figma Make. My first-hand look at the frontier of AI-powered design in 2026.
I have to say, Iβm feeling more excited than ever about what it means to be building in this era.
Itβs not just about the AI models getting better.
Itβs the fundamentally new mental models they unlock.
My day-to-day is almost unrecognisable from even 6 months ago.
Vibe-coding/operating is now shockingly overpowered for small teams.
Despite being an AI DAU since Nov β22, Iβm finding myself starting at my screen in utter disbelief multiple times per day.
Enjoy.
β Tom


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Chess Move
The what: A TLDR explanation of the strategy
On July 7th, 2025, I added another SaaS idea to the pile:
A Chrome extension. SimilarWeb for builders. Traffic, revenue signals, founder socials, ads - all in a sidebar you can trigger when you visit any company's website.

A 9-bullet sketch of something I'd personally use a dozen times a day, if it existed.
Nothing came of it. Got buried under many more (half-baked) ideas.
Fast-forward 6 months.
The Figma team reached out about a partnership.
They wanted me to try their new prompt-to-app AI tool, Figma Make.
I mulled over the angle for a while, then realised I had the perfect test case.
Could I take a 6-month-old idea that had never left the notes app and turn it into a fully interactive, clickable product prototype? Without writing a single line of code? Without opening a design tool?
The pipeline I came up with:
β Notion (raw idea, 9 bullet points) β Claude Code + Wispr Flow (interview to flesh it into a full PRD) β Figma Make (PRD in, interactive prototype out)
One sitting later, I had my answer.

Hereβs how it went down:


Breakdown
The how: The strategic playbook boiled down to 3x key takeaways
1. Β From PRD to testable journey
The traditional product design lifecycle goes something like: idea β sketch β wireframe β mockup β prototype β iterate β build.
When I was at Atlassian, one of the toughest aspects of bringing product ideas to life was this:
The longer the stretch of time between the original idea and something clickable, the greater the risk from untested assumptions.
Should we design it this way or that way?
Will users actually use it the way we think they will?
Will this feature actually move the needle for our OKRs?
Should we invest more design time, or test/ship this version?
β Figma Make collapses this. A well-structured PRD goes in. A testable product journey comes out.
Not production code - nobody's shipping this to App Store review. But a credible, high-fidelity prototype that's ready for: usability testing, stakeholder buy-in, investor conversations, and the ability to click through your own idea to see if it sticks.
Here's how I built mine:
I opened Claude Code, pasted my Notion link, and asked it to interview me about the idea.

What followed was a 5-round interview. Claude pushed me on positioning ("How is this different from SimilarWeb?"), forced me to articulate the ICP ("Who specifically, and what's their burning pain?"), and pressure-tested the engagement model ("Why would someone use this more than once?").
I dictated 25 minutes of product spec. Other cafe patrons looked at me funny. Someone got visibly worried around 15 minutes in. I persevered.

The output: a comprehensive PRD covering everything from the core product experience and panel-by-panel UI specs to the success metrics and launch roadmap, etc.
At first, I was curious how Figma Make would go with a simple starter prompt. The nucleus of the idea, without the full PRD.




Pretty nice for a one-shot, ngl.
Time for the real test.
I fed the whole PRD into Figma Make. Positioning, personas, interactions, design principles. Even the pricing model and GTM strategy.
Everything.

A few minutes later, I was clicking through a passable MVP for a product I'd been imagining for six months.




With tools like these, the nuance matters. The quality of the input directly determines the quality of the output. The vague prompt produced something vague. A structured spec (clear user stories, information hierarchy, and interaction details) produced something that genuinely felt like my product.
That's the real unlock for anyone building things right now. Designers who value craft and speed get a turbocharged starting point that respects fidelity. PMs who've been blocked waiting for design resources can generate credible prototypes from their own PRDs and get alignment without the bottleneck. Founders and builders with βproduct senseβ but no design background can go from concept to clickable demo in a single session.
The bottleneck has shifted. It's no longer "can I build this?" It's "have I thought about this clearly enough?"

2. Feed it your world, not just your words
As much as I loved going 0 to 1 with a totally blank canvas, very little design work happens in a vacuum.
In practice, the modern designer always starts with context, constraints and reference points. Brand guidelines, user research, existing components, customer feedback, company strategy, etc.
Figma Make is built around this same instinct. Rather than generating in isolation like me, it lets product teams bring real context directly into the creative environment in 2 powerful ways:
1. Your other Figma assets. If you've already built a design language in Figma Design (colours, typography, components, spacing, logos) you can export that library directly into Figma Make and reference it as style context.
In practice: Every prototype Figma Make generates in that file then inherits your brand's design DNA - not as a loose suggestion, but as a concrete stylesheet governing how things look and feel.

For teams with mature design systems, this is significant. The AI isn't guessing at your brand. It's building with your brand.
You can go further by editing the extracted styles directly and adding a guidelines.md file - a free-form text document where you give Figma Make specific rules for how to apply your system. Creative direction that persists across every prompt in that file.
2. Live context through MCP integrations. This is where things get interesting for integrated product teams.
Figma Make supports MCP (Model Context Protocol) connections, meaning you can plug it directly into the tools your team already uses - Notion, Jira, Linear, Intercom etc.
That means a designer or PM working inside Figma Make can pull in live context without leaving the tool:
β βFetch the latest user feedback sitting in Intercom to inform the content in this panelβ
β βPull requirements directly from our Jira board to design the navbarβ
β βSearch Notion for research notes, prior explorations, and design principles my team has already documentedβ

I worked solo on this build, feeding in my PRD manually. But for teams, both Figma design libraries and MCP connections represent a genuine workflow shift. They collapse the number of tabs, the number of handoffs, and the number of "hey, can you send me that doc?" messages that slow down the iteration loop.
The designer doesn't need to chase down the latest context.
It flows directly into the creative environment.
3. Ecosystem distribution
For millions of product teams, Figma is the shared language.
Design happens in Figma Design.
Collaborative thinking happens in FigJam.
Presentations happen in Figma Slides.
Figma Make slots into that ecosystem natively - everything it generates is a first-class Figma object, with every layer, component, padding value, border radius, and colour token preserved and editable.
A prototype built in Make speaks the same language as each of these other tools.

β Figma Design: Publish your Make prototype directly into Design to refine individual components, polish interactions, and take it from exploration to production-ready mockup.
β FigJam: Drop the prototype into FigJam's interactive whiteboard where the team can annotate, reorganise, and build on the concepts collaboratively.
β Figma Slides: Port the prototype into a presentation to align stakeholders, investors, or your team - no recreating screens as static images.
β Figma Sites: Push your prototype to a live website using Figma Sites, where code layers let you add custom interactivity, connect real data sources, and ship directly to the web.
This matters because prototypes aren't endpoints.
They're conversation starters.
They're alignment tools.
They fit into a much longer process.
Before the prototype: research, strategy, requirements, design systems.
After the prototype: feedback, iteration, handoff, testing.
Figma Make is Figmaβs strategy to ensure that artefact never needs to leave home. Generate it, refine it, present it, debate it, publish it, test it with real users - all within the ecosystem your team already lives in.


Rabbit Hole
The where: 3x high-signal resources to learn more
[1 minute set up]
If you've got a product idea sitting in your own "maybe one day" pile, this is your excuse to spend an evening on it.
Start free.
Paste your idea.
See what comes out.

[15 minute read]
Here's the complete Product Requirements Document I built with Claude Code - open-sourced for anyone who wants to PRD-to-app this weekend.
Covers everything from the ICP and engagement loop design to panel-by-panel UI specs, pricing model, and go-to-market strategy.
Steal the structure. Adapt it for your own idea.
[1 minute interaction]
Here's the final clickable concept.
I'm genuinely exploring whether to build QuickScout for real. Check out the prototype, and if you think youβd use it - click here to help me build the right thing!


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