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WorkAgents do the research. Every answer cites its source.

AI SaaS · Built solo, live at proux.design

Agents do the research. Every answer cites its source.

Every answer cites its source, across 350+ UX principles

Not a chatbot. You set a task and ProUX runs it.

Your product gets the same engine. Your rules, your data, decisions it can defend.

The ProUX engine reads 5 sources:

  • Experts with curated skills.
  • Your project context.
  • Guideline library.
  • Your screen.
  • The ProUX method.

It returns the right expert, the right model and cited design decisions.

You set the task. It picks the expert and the model.

  • Every choice named on screen
  • One click changes it

The task: Audit this product page. Buyers drop before Add to cart. What do I fix first?

  • Expert: Design audit. You asked for an audit.
  • Model: Auto · Sonnet 5. Deep, picked by the job.
  • Grounding: 3 project documents. Your project first.

Then it runs: Analysing the design, Searching ProUX guidelines, Mapping findings.

It used 16 guideline sources.

Every claim links to its source.

  • 1 tap opens the guideline and its evidence
  • When no source covers it, it says so

Darken the price text: it measures 2.43:1 against 4.5:1.

Source 1: guideline 411, text legibility in eCommerce.

Collapse long specs, so Add to cart stays in view.

Source 2: guideline 32, collapse sections.

Assumption: no project document says who buys.

It measures the screen. It does not guess.

ProUX measures a product page from its pixels.

  • Price text: 2.43:1, needs 4.5:1.
  • Add to cart: 36pt, needs 44pt.
  • Body text: 16px, passes.

The score is 64, at risk: 100 less 24, 8 and 4.

Price text is fixed at 5.20:1. Add to cart is fixed at 48pt.

With 2 criticals fixed, the score moves from 64 to 80.

Same task. A different kind of result.

    The same task, answered by a general LLM and by ProUX.

    • LLM: “Looks light”. ProUX: 2.43:1 against 4.5:1, Measured from pixels.
    • LLM: “Best practice”. ProUX: Guideline #411, 1 tap away.
    • LLM: 8 equal tips. ProUX: Ranked fixes, Effort on each.
    • LLM: A new answer. ProUX: Same rules, Every page.
    • LLM: Start over. ProUX: Re-measured, Fixed. Now 5.20:1.

    In short

    ProUX is an intelligent AI UX design platform. I built it solo, live at proux.design. You set a UX task and ProUX runs it. It picks the expert and the model, and names each choice on screen. Every claim links to its source, from 350+ UX principles. It measures a screen from its pixels instead of guessing.

    Every answer cites its source, across 350+ UX principlesNot a measured result: Live at proux.design

    The problem
    UX advice was opinion, so teams argued.
    What changed
    • Grounded in verified guidelines, cited by number
    • Audits measured from real pixels, scored out of 100
    • 350+ UX principles, verified
    The result
    Every answer cites its source, across 350+ UX principles · Live now

    Surinder ThakurAI Product Designer and Builder between Dubai and India, for UAE, US and EU teams

    Start with 30 minutes.

    You talk to me, the one who leads your build. Tell me the tool, the users and what it should move.

    Book a scope call1 slot open for Q4 2026
    Or write to hey@surinder.design
    years in UX and product design
    19
    YoY revenue at Puffy
    +67%

    Design manager for 2 years at Puffy, a $1B brand.

    What happens after you book

    1. You fill a short intake formSo the call starts with your problem, not with questions.
    2. We talk for 30 minutesYour tool, your users and what it should move.
    3. You get scope and priceIn writing, within 24 hours. No pitch.

    3 months design to market

    “He consistently delivers on time often ahead of schedule and his professionalism is unmatched.”
    Carlos AriasFounder, Medellin.co
    Surinder T.