Design intelligence for product teams

Every screen on‑brand.
Every decision evidenced.

Vervo AI reads your brand, your existing flows and your component library, then generates high-fidelity design options, tests them with real people, and writes code in the components you already ship.

Starts from
Your brand, not a blank canvas
Decides with
Evidence from real users
Ends at
Code your team can merge
Project · Festival ticketing · run 07
Brand · palette
Brand · type
AaCanela · 16 / 28 / 64
Voice
WarmPlayfulNever shouty
Components
148 mappedv4.2
1440 × 900
91%
1m 04s
§ 01The gap

Generative tools make pictures.
Product teams need proof.

Most AI design tools start from nothing and end at a screenshot. They don't know your palette, your voice, your spacing scale or the 148 components your engineers already maintain, so everything they produce is a beautiful thing somebody still has to rebuild.

Vervo AI closes both ends. It begins inside your design system and finishes inside your codebase, and in between it does the part teams most often skip: putting the work in front of real people and recording what actually changed.

§ 02The pipeline · five stages, one continuous thread

From brand intake to merged code.

01

Ingest what you already have

Upload brand guidelines, live URLs, Figma libraries, user flows and past platform designs. Vervo extracts the palette, type scale, spacing, motion rules and tone of voice, and treats them as constraints rather than suggestions.

  • Colour, type, spacing and elevation lifted into a working token set
  • Tone of voice modelled from your real product copy, not a style adjective
  • Existing flows parsed so new screens land inside the journeys you have
Intake · brand-book.pdf✓ 4 sources parsed
Palette · 12 extracted
3B1E4E
FF6B4A
C9E265
F3E9D8
1F8A70
17151C
Aa
Canela · headline / body Scale 12·14·16·20·28·40·64 Line height 1.45 body
Voice
Second personShort sentences No hype wordsLead with the artist
02

Research the field before drawing

Vervo assembles what is already known about your industry: how competitors solve the same step, which patterns have won recognition, which have been publicly abandoned, and what published research already exists. Every claim keeps its source.

  • Competitor teardowns of the exact flow you are working on
  • Award-winning and publicly criticised approaches, with the reasoning
  • Existing academic and industry research surfaced instead of re-run
  • A written brief you can hand to a stakeholder as-is
Evidence log · ticket selection214 scanned · 38 kept
Research Showing the fee-inclusive price on each tier reduces abandonment at the final step.
Teardown Four of six competitors open on a seating map; two open on a plain tier list.
Award Recognised pattern: lineup-led browsing with stage times as the primary navigation.
Retired Basket countdown timers dropped after complaints, replaced with a quiet held-seat indicator.
Review Recurring complaint theme: fees only appear on the very last screen.
03

Answer questions, get options

Vervo interviews you before it designs: who this is for, what must not change, where the risk sits. Then it produces high-fidelity screens as genuinely different options, so you're choosing between approaches rather than nudging one.

  • Prompting questions that surface constraints you'd have found in review
  • Multiple distinct directions per feature, each with its trade-off written out
  • Ideas you didn't brief, argued for rather than simply presented

Try it, select a variant

Feature · ticket tier selectionVariant B selected
B · Split map and tier panel Seating map on the left, tiers on the right, the two staying in sync as you move between them. Highest completion in comparable flows, but it needs a real tablet breakpoint and doubles the copy you maintain. Trade-off · more layout work, fewer abandoned baskets
04

Validate with real people

Turn any option into a working prototype and send it to real participants. Vervo runs the interviews, probes the moments that matter, and returns a read on what worked, what didn't, and which change is responsible for the difference.

  • Shareable prototypes that need no account to take part
  • AI-moderated interviews with follow-up questions, not fixed scripts
  • Findings tied back to the specific design decision they judge
  • A version history that records what changed, why, and what it moved
Study 07 · 14 participantsRound 2 complete
VervoYou scrolled past the tier list twice before picking. What were you looking for?
P-09The price I'd actually pay. I've been caught out by fees on the last screen before.
VervoWhere would you want that shown instead?
P-09On the tier itself, before I choose one.
Checkout completion62% to 91%
Time to choose3m 12s to 1m 04s
Stated confidence3.1 to 4.4 of 5

Illustrative study data

05

Generate code in your components

Point Vervo at your component library and it builds with what your engineers already maintain: your props, your tokens, your accessibility behaviour. What arrives is a branch to review, not a new stack to adopt.

  • Your library, your conventions, whether React, Vue, Web Components or native
  • Design tokens referenced, never hard-coded
  • Gaps flagged where no component exists, instead of silently invented
Output · TicketTier.tsx✓ 0 unmapped components
// generated from Variant B · tokens from marquee-design-system@4.2
import { Stack, Card, PriceTag, Button, Callout } from "@marquee/ui";
import { space, tone } from "@marquee/tokens";

export function TicketTier({ tier, onSelect }) {
  return (
    <Card padding={space.lg} tone={tone.surface}>
      <Stack gap={space.md}>
        <Callout intent="info">
          Every price includes booking fees. Nothing is added at checkout.
        </Callout>
        <PriceTag label={tier.name} amount={tier.total} note={tier.remaining} />
        <Button variant="primary" onPress={onSelect}>Choose this tier</Button>
      </Stack>
    </Card>
  );
}
marquee-design-system 4.2 148 components mapped Tokens referenced WCAG 2.2 AA checked
§ 03Built for teams that answer to somebody

Design freedom inside the rules you already have.

Brand governance

Guardrails, not guesswork

Lock tokens, components and voice rules at organisation level. Anything generated outside them is flagged before it reaches review.

Your libraries

Bring your own components

Connect a private package or repository. Vervo maps it once, then designs and codes only in what exists, and tells you when something genuinely doesn't.

Provenance

Every claim has a source

Research, interviews and decisions are logged with their evidence, so a design review can trace any choice back to the thing that justified it.

Security

Your material stays yours

SSO and role-based access, regional data residency, and no training on customer content. Participant data is consented and retention-bounded.

§ 04Who it's for

One thread, three sets of hands.

Product managers

Options before opinions

Walk into a prioritisation conversation with three real directions, the research behind each, and evidence from users, instead of one mockup and a hunch.

Designers & researchers

Skip the setup, keep the craft

The token wrangling, competitor sweeps and recruitment logistics come free. The judgement about what's right stays exactly where it belongs.

Engineering leads

Handoff that isn't a rewrite

Designs that only use components you already ship, and a branch that reads like your codebase because it was written against it.

Working across
Streaming & media Live events Fashion & retail Publishing Games Music Brand & design studios Arts & culture
§ 05Questions we get asked

The honest answers.

Does this replace our design team?
No, and a tool that claimed otherwise would be selling you something. Vervo removes the setup work around design: extracting tokens, sweeping competitors, producing variants, recruiting and running interviews, wiring up components. The taste, the strategy and the calls about what's right for your users stay with your team. What changes is how much evidence they have when they make them.
What do you need from us to start?
A brand source (guidelines, a live URL, or a Figma library) and, ideally, one existing flow you'd like new work to sit alongside. That's enough for a first run. Connecting your component library takes longer to set up once, and is what turns generated designs into merge-ready code.
How real are the AI-moderated interviews?
Real participants, using a working prototype, in an unscripted conversation. The moderator adapts follow-ups based on what someone does and says, and probes hesitation rather than reading the next question. You get transcripts, session recordings and the behavioural measures, so you can read the raw material yourself rather than trusting a summary.
Will the output actually look like our product?
That's the premise of the whole tool. Vervo works from your extracted tokens and mapped components rather than a general aesthetic, and anything that falls outside your locked brand rules is flagged instead of shipped. If a design needs something your system doesn't have, you're told. You are never handed an invented component dressed up as one of yours.
What happens to our brand material and our users' data?
Your uploads, research and interview data are yours: not used to train models, held in the region you choose, and removable on request. Interview participants consent explicitly, and recordings are retention-bounded to the window you set.
Which frameworks can you generate for?
React and Vue component libraries, Web Components, and native iOS and Android where a design system exists to map against. If your library is private, it connects through your own package registry or repository, and nothing needs to be published to use it.
Book a demo

Bring one flow.
We'll run it end to end.

Thirty minutes, using your brand and a real flow from your product, not a canned demo account. You'll see the intake, the research brief, three design directions and the code output for whichever one you pick.

Format
Live walkthrough, 30 minutes
Bring
Brand guidelines and one flow you'd change
Leave with
The research brief and variants from your own product
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We reply within one working day.