AI product design

AI product design, from the first workshop to a tested interface

Everything we do for products that run on large language models and machine learning: deciding where AI helps, designing how people use it, and testing it with real answers.

In short

AI product design is the work of deciding where artificial intelligence belongs in a product and designing the user experience (UX) around it: how people ask, how answers appear, how mistakes get caught and how trust grows. ui-ux.agency, the design team of tkxel, covers AI product design in three services: a discovery workshop, AI UX design and chatbot UI design.

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What is AI product design?

AI product design shapes a product around a model that writes, predicts or recommends, so that people get value from it without blind trust. It joins product strategy, interaction design and testing with real model output.

A product with AI inside behaves differently from classic software. The same request returns different answers, responses take seconds, and the system is sometimes confidently wrong. AI product design plans for all three. It starts with the question most teams skip: which task should AI handle at all? The answer comes from an AI product discovery workshop. The interface work then follows in AI UX design agency projects and, for conversational products, in chatbot UI design.

AI product design path in three stages: discovery workshop, AI UX design and chatbot UI design, ending in a tested AI feature
Three services, one path: decide where AI helps, design it, then test it with real answers.
  • Discovery workshop: 1–2 weeks to decide where AI helps
  • AI UX design: 4–10 weeks to design the AI feature
  • Chatbot UI design: 3–8 weeks for conversational products
  • Together: decide where AI helps, design it, then test it with real answers
Deliverables
3 included

Which AI product design services do we offer?

Our AI product design work is split into 3 services, each with its own scope and price:

  • AI product discovery workshop

    A 1 to 2 week workshop that picks the AI use cases worth building and turns them into a scoped plan.

  • AI UX design

    Input, output, review and correction patterns for AI features and AI-first products, tested with real model answers.

  • Chatbot UI design

    Chat windows, answer cards, suggested replies and human handoff for assistants and support bots.

How does AI product design differ from classic product design?

AI product design adds trust, uncertainty and correction to every screen that classic product design treats as fixed. The table shows the main differences.

Comparison of AI product design and classic product design
CriterionAI product designClassic product design
OutputDifferent each time, sometimes wrongSame result for the same action
Main riskUsers trust a wrong answerUsers cannot find a feature
Prototype contentReal or recorded model outputStatic sample content
Key statesStreaming, low confidence, refusalLoading, empty, error
Success metricAccepted answers, edits, task timeTask completion, conversion

Which teams need AI product design?

AI product design helps 4 kinds of teams, from founders with an idea to companies adding AI to mature software.

  • Startups building on a model

    Founders who need a first version people trust; many start with our MVP design agency team.

  • SaaS companies adding a copilot

    Product teams that want AI inside existing workflows without breaking them.

  • Support and operations teams

    Teams that want bots and internal tools that answer correctly and hand over cleanly.

  • Enterprises with AI pilots

    Organizations that built a proof of concept and now need an interface staff will actually use.

Not sure where your design loses users?

Book a 45-minute product review. A senior designer walks through your product and names the three changes with the biggest effect.

Book a product review

Ready to launch faster and convert more users?

Send us your project. A design lead reviews it and schedules a call within one business day. We sign an NDA before the first technical discussion if you prefer.

FAQ

AI product design FAQs

Straight answers about scope, timelines, pricing and how we work with your team.

Still have a question?

A design lead answers every message within one business day.

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Where should an AI product design project start?

Most teams start with an AI product discovery workshop. It names the use cases worth building before any interface work begins.

Do you design AI products for mobile apps?

Yes. We design AI features for web apps, iOS and Android apps, and for embedded widgets inside other software.

Can you work with any AI model provider?

Yes. Our designs work with OpenAI, Anthropic, Google, open-source models or your own models; we prototype with whichever your team uses.

How long does AI product design take?

A discovery workshop takes 1 to 2 weeks, chatbot UI design takes 3 to 8 weeks and AI UX design takes 4 to 10 weeks.