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CodeNest.CA

AI Product Design

Turn Your AI Product Idea Into a Clear, Buildable Plan.

We help founders and product teams validate AI product ideas, design the user experience, test feasibility, and create a practical roadmap to a minimum viable product.

Problems we help solve

  • Unclear whether the idea is technically feasible
  • No defined way to measure AI quality
  • Uncertainty about data needs and model costs
  • Difficulty designing interfaces users will trust

Overview

What AI Product Design Means for Your Business

AI products fail for different reasons than traditional software: data that is not available, quality that is not good enough for the use case, costs that do not scale, or experiences that do not build user trust.

Our AI product design process addresses those risks early. We combine product discovery, UX design, and technical prototyping so you can make informed decisions before investing in a full build.

Who it's for

  • Founders with an AI-powered product idea
  • Businesses adding AI features to an existing product
  • Product teams needing AI feasibility validation
  • Organisations preparing to raise funding or approve budget for an AI initiative

Business benefits

Why It Matters

  • 01

    Validated direction

    Evidence about user needs and technical feasibility before major investment.

  • 02

    Trustworthy UX

    Interfaces that set expectations, explain outputs, and allow correction.

  • 03

    Realistic plan

    Architecture, data, cost, and evaluation considerations captured up front.

  • 04

    Faster MVP

    A focused scope that gets a useful product to users sooner.

What we deliver

What's Included

  • Product discovery
  • Use-case validation
  • AI feasibility
  • User research
  • UX & UI design
  • Prototypes
  • Data requirements & model selection
  • Evaluation strategy & architecture

Example use cases

Where This Can Help

  • AI feature for a SaaS product

    Design and validate an AI assistant inside an existing application before committing engineering time.

  • New AI-native startup product

    Turn a founder's concept into a tested prototype and an MVP plan.

  • Internal AI tool

    Design an AI tool for staff with workflows, permissions, and review steps built in.

Possible integrations

Subject to each system's APIs, capabilities, and terms.

  • Large language model APIs
  • Vector and search databases
  • Product analytics
  • Authentication providers
  • Existing product APIs
  • Design and prototyping tools

Security & privacy

  • Data classification and minimisation from the start
  • Privacy-by-design review of AI data flows
  • Model provider data-use review
  • Abuse and misuse considerations

FAQ

AI Product Design: Your Questions

Do we need data before starting?

Not necessarily. Part of the process is identifying what data the product needs and whether it is available, can be collected, or can be substituted.

Can you build the product after the design phase?

Yes. The design phase produces a plan our engineering team can deliver, though you are free to use it with any team.

How long does AI product design take?

It depends on the scope and how much validation is required. We will propose a timeline after an initial conversation.

Will you sign an NDA?

Yes, we are happy to discuss confidentiality arrangements before you share sensitive details.

Let's Pressure-Test Your AI Product Idea.

Share your concept and we will help you understand what it would take to bring it to life.