AI Product Design
Concept to shipped product for AI-first ideas: what the model does, what the person does, and where the hand-off between them sits. Designed and developed under one roof.
- You get
- An AI product, not a demo with a login
AI product design & development
Six AI-first products shipped: generative platforms, ML prediction engines, agent workflows. AI woven in where it does a job the product needs doing, not a chatbot bolted on for the demo.
- 6AI-first products developed
- 100+products shipped overall
- 1team: research, design, engineering
Model
Assistant
How fast can we ship?Two weeks, one
demo
AI
An AI platform we designed and developed
Teams we develop for
From the case study
Latency turned into narrative: the story being written beats “please wait”.
Why Dcycle for AI
AI-native, not AI bolted on
Most AI products fail at the interface, not the model. The output is slow, sometimes wrong, and different every time, and a layout designed for deterministic software has no answer for any of that.
We design for it from the first flow: what the person sees while the system thinks, how much of the result to reveal, and what happens when it misses. Then the same team develops the generation pipeline, the state behind it and the product around it.
Book a callWhat we do in AI
Latency, uncertainty, trust. Those are design problems.
Models are a commodity. The experience around them isn’t. Five ways we work on AI products, from a first concept to agents running in production.
AI UX Design
Interfaces for output that is slow, variable and occasionally wrong: waiting and streaming states, previews, edit-and-regenerate, and failure that doesn’t end the session.
- You get
- An experience people trust enough to use twice
Designing for LLMs & Agents
Beyond the chat box: agent workflows where people can see what the system is doing, step in, approve and undo, so autonomy never reads as loss of control.
- You get
- Oversight patterns your users understand
AI Agent Development
We develop the systems too: agent workflows, generation pipelines, and the state that keeps them consistent with the rest of your product, from preview to order record.
- You get
- Working agents, wired into your stack
Add AI to Your Product
Not every product needs a chatbot. We start at Discover to find where AI earns its place in your workflow, and where it would quietly cost you.
- You get
- A short list of AI features worth developing
Got an AI idea you’re unsure about?
Bring it to a call. We’ll tell you where it’s strong, where it’s fragile, and what a first version should and shouldn’t do.
How we work on AI
Questions worth asking about any AI product
What founders ask us most, answered from a product we actually shipped.
Read the full case studyBy assuming it will be. Every AI surface we design has an answer for the miss: a preview before anything irreversible, a way to edit or regenerate, and a clear line between what the system produced and what a person approved.
On Every Child Is A Hero each order is a one-of-one printed book. You cannot reprint the wrong child’s comic and call it a rounding error, so the flow was designed around that risk from the start.
Treat it as part of the experience, because it is one whether it is designed or not. AI generation is not instant. On Every Child Is A Hero we turned that latency into narrative: the story being written is a better story than “please wait”.
Both. On Every Child Is A Hero we took the whole platform from an empty repository to a live storefront: story input, AI generation, preview, checkout and print fulfilment, with Django keeping generation state, previews and order records consistent.
Design and development sat in one team the entire way. That matters more in AI than anywhere else, because the interface and the pipeline constrain each other daily.
Carefully. We have mapped where AI saves days in product development and where it quietly costs you a week, and we run four checks before anything AI-assisted reaches a client. It is all in our AI-driven design workflow guide.
Yes, and we will start by asking whether you should. Discovery comes first: interviews, a teardown of the current product, and your analytics. Sometimes the answer is an agent workflow. Sometimes it is a better search box.
Either way, you get a written problem statement before anyone picks a model.
Recent projects
AI work in production
More from the studio
Every Child Is A Hero
AI · E-commerce · Design + development
An AI platform that prints a child into their own comic book.
WooMeNow
Marketplace · Design + development
A two-page brief that became a four-year product partnership.
F4C
HealthTech · Telemedicine
A telemedicine site that has to earn a clinic’s trust in a single scroll.
NextRep
Fitness · Mobile app
A dual-role trainer and client app. Nine weeks, one designer, one developer.
Zoeflow
Women’s health · Design
A cycle-health app: track today, understand your patterns, feel your best.
Client voices
What clients say when we’re not in the room
“Dcycle transformed our vision into a powerful fitness app with a seamless user experience, an engaging platform that users love.”
Read the NextRep story
“Working with Dcycle was a game-changer for us. Their expertise in design and development helped us elevate our platform with a seamless, user-friendly experience.”
“Dcycle transformed our vision into a sleek, intuitive platform. Their attention to detail and technical expertise exceeded our expectations.”
Read the WooMeNow story
Around the AI
The same team does the rest
Pillar 02
Our edge
Design
Research, UX and interface design for products people come back to. We start with who uses this and what number you’re moving, not with a moodboard.
Explore designPillar 03
Development
React, Next.js, Node and Sanity, with AI woven in where it does a job the product needs doing. The same team that designed it develops it, so the detail survives into production.
Explore developmentRather judge us by the work?Every project we’ve shipped is written up: what it was,
what we did, what happened next.
All 60+ projects
Let’s talk
Bring us the AI idea you’re not sure about
We’ll tell you where AI earns its place in your product, where it would quietly cost you, and what a sensible first version looks like. No deck, no obligation.
* we get booked fast: 3 slots left this month 🔥
KB
Kishan Bhatt · FounderReplies within 24 hours
5 audits a month, 3 left
5 audits a month, 3 left