AI Products & Workflows

From AI idea to launch-ready prototype

I design the user experience, build the core workflows, and deliver a launch-ready SaaS prototype, for founders and teams turning an AI capability into a product people can actually use.

Deliverables

What you’ll get

Core workflows, designed

The end-to-end journeys through your product mapped and designed, not just isolated screens.

High-fidelity product screens

Polished UI for the moments that matter: inputs, streaming responses, review steps, and results.

A launch-ready prototype

A clickable prototype you can put in front of users, investors, and engineers before writing production code.

AI patterns users trust

Prompting, confidence, review, and fallback states built on patterns people already understand.

Documented product logic

The reasoning behind each flow captured in the file, so engineering starts from decisions, not guesses.

Dev-ready handoff

Specs, states, and edge cases called out so the build matches the design without a translation layer.

Best suited to

Who is this for?

For teams turning an AI capability into a product, not a demo.

Founders with a working model

The AI works in a notebook. Now it needs workflows, guardrails, and an interface a customer would pay for.

Teams adding AI to a SaaS product

You are folding AI into an existing product and need it to feel native rather than bolted on.

Products stuck at the demo stage

The demo impresses but users get lost in real usage. The gap is workflow design, not model quality.

Engagement fit

Is this the right fit?

A great fit if

  • You have an AI capability that needs a real product around it
  • You need to show users or investors something concrete soon
  • You want the core workflows right before production code

Not the right fit if

  • You are still exploring whether the underlying AI is feasible
  • You need machine learning engineering rather than product design
  • The scope is a marketing site for an AI product, not the product itself

The process

How it works

From concept to a prototype you can put in front of people.

  1. Align on the concept

    We get specific about what the AI does, who it serves, and what the product must prove first.

  2. Map the core workflows

    The critical journeys get structured before any UI: inputs, AI steps, review moments, and outcomes.

  3. Design and validate

    High-fidelity screens for the core flows, iterated with your feedback until they hold up.

  4. Deliver the prototype

    A launch-ready, clickable prototype plus dev-ready files for the build that follows.

Testimonials

What previous clients said

Case study · Lifeguard AI
“Brendan did a fantastic job helping us on a myriad of various design projects as we launched our company. He was an excellent communicator and really spent the time digging into our product so he could not only design, but provide insightful feedback about flows and product features. He did a really great job making a unified experience from web to mobile to apps and it was a huge step forward in our overall project’s design.”
Portrait of Kevin M.Kevin M.Co-Founder, Lifeguard ($1.3M raised)
“Brendan’s mockups were exceptional. His work demonstrates his strong ability to put himself in the user’s shoes in order to create the best user experience possible. Brendan follows-up after delivering the final product to ensure you have what you need in order to start developing. He receives my highest recommendation.”
Portrait of Neer H.Neer H.Founder, MajorGig

FAQs

Got questions?