Trust
Answers show where they come from and how confident the system is, so people know when to rely on them and when to check.
Service · our specialty
AI product design
We design the interfaces of AI products: chat, copilots, agents and generative tools. The work is making what the model does visible, checkable and correctable, so people trust the result and keep using the product. It is our specialty.
When you need it
When to bring us in for AI product design
- You have a working model or API, and people do not understand or trust what it returns.
- You are adding AI features to an existing product and need them to fit the way people already work.
- Your AI product demos well but usage drops after the first week.
- You need an agent or a multi-step AI flow that people can supervise, pause and correct.
What we design
What AI product design covers
Visibility
People can see what the AI is doing while it works: the steps it takes, the tools it calls, the progress it makes.
Control
People can adjust, edit and undo a result without starting over, and steer the model with the words and controls they already understand.
Error handling
Clear errors, retry, and a handoff to a person when the model cannot help. Failures are designed states, not dead ends.
Input design
How people ask: prompts, chips, templates, voice, files and structured briefs, chosen for the task instead of an empty text box.
The pipeline behind it
Where it matters, we design the model workflow too. For ArchViz Studio we designed the interface and the ComfyUI generation pipelines behind it.
Deliverables
What you get
- Flows for every AI state: idle, thinking, streaming, done, uncertain, failed and handed off
- Interface design for web and mobile, in English and Arabic where needed
- A dynamic design system: the components the model can use and the rules for using them
- A clickable prototype tested with real users, and optionally a working front-end build
- Copy for AI states and errors, written to be understood, not to sound clever
How it runs
How we run AI product design projects
- 01
Understand the model
We review the model's real output, not the demo: where it is right, where it is wrong, and how often. The interface is designed around what the model actually does.
- 02
Design the states
We map every state a response can be in and design each one, then the flows that connect them.
- 03
Test with people
People use a prototype with real or realistic AI output, and we measure where they hesitate, misread or give up.
- 04
Build or hand off
We build the front end or hand a system to your engineers that already covers every state.
The same four steps run every project. Read the full process.
Related
Read next
FAQ
Questions about AI product design
What is AI product design?
It is the design of products where a model generates part of what people see or do. Beyond usual UX, it covers how people give input, how results show their sources and confidence, how people correct them, and what happens when the model fails.
Do you work with our existing model or API?
Yes. We design around the model you use, whether a hosted API or your own. We review its real output early, because the interface has to fit what the model does, not what the demo shows.
Can you design AI agents, not only chat?
Yes. We design multi-step agents that people can supervise: what the agent is doing, what it needs approved, how to pause or undo, and how it hands work back. ArchViz Studio is moving from a wizard to an agent that runs the pipeline for the user.
How do you test an AI interface before it is built?
We put a prototype in front of real users with real or realistic model output, including wrong answers and slow responses, and measure where they hesitate or lose trust. Designing for the bad cases is most of the work.
Do you design AI products in Arabic?
Yes. We design Arabic interfaces from the start, including AI states and input in Arabic. Ejjati and ArchViz Studio were both designed Arabic first.
Talk to us about AI product design.
We reply by email to set up a call. Most projects start with a short conversation and a scoped proposal.