AI UX and product flows
Onboarding, inputs, prompt paths, output review, human-in-the-loop decisions, feedback loops and clear product journeys for AI tools.
Industry · AI Design
AI app design for products that explain themselves.
99 Francs® designs AI UX, app interfaces, copilots, agent workflows, prompt experiences and MVP prototypes for teams turning model capability into a usable product.
Prompt workspace
Output review
User intent
Find the best prospects and explain why they match.
Sources
8
Confidence
86%
Action
Edit
The user should see why the AI answered before they are asked to accept the answer.
Direct answer
99 Francs provides AI app design services for copilots, agents and AI SaaS products.
The work covers AI UX strategy, chat and agent interfaces, prompt experiences, human-in-the-loop review flows, onboarding, trust states, dashboards and MVP prototypes that explain what the system can do and how much control the user keeps.
AI design services
Design work for the moments where AI needs trust and control.
The interface has to show what the AI needs, what it is doing, what it produced and how the user can correct or approve it.
Copilot and agent interfaces
Chat, command bars, task queues, autonomous steps, confirmations, permissions and controls that make AI agents understandable.
Trust, states and explainability
Confidence signals, citations, loading, streaming, errors, retries, safety boundaries and output states designed into the interface.
AI MVP prototypes
Clickable prototypes and investor-ready product demos that show the value of the AI system before engineering scope gets too large.
Users do not know what to ask
We design examples, prompts, templates, onboarding and suggested actions so the first useful interaction does not depend on a blank input.
Outputs feel hard to trust
We add source context, confidence cues, review steps, edit controls and clear system boundaries where the product needs them.
The AI demo feels like a feature, not a product
We turn the capability into a complete journey: setup, input, generation, review, approval, export and repeat use.
The team keeps adding features
We define the smallest credible AI workflow for the MVP and remove screens that do not prove value or reduce buyer risk.
Process
From capability to product flow.
Map the AI job
We define the user, the input, the system action, the output, the review moment and the business result the AI interface must support.
Design the trust path
We design onboarding, prompts, states, explanations, controls and review steps so users understand what the AI is doing.
Prototype the product
You get realistic AI app screens, clickable flows, demo-ready product surfaces and developer notes for implementation.
Related AI work
Interfaces for AI, data and complex product logic.
Platform
Neolink AI supply chain
Full UX/UI designed from concept for an AI-powered supply chain platform. Visual identity, logo, branding guidelines, and a scalable design system — all delivered end-to-end.
Web product
Secondself AI
Product at the intersection of fan culture and generative AI. Fully responsive design with a vibrant, playful visual style and a streamlined onboarding flow for creators.
AI app design is UX/UI and product design for AI-powered software: prompts, inputs, outputs, chat, agents, copilots, review flows, onboarding, states, dashboards and trust signals.
AI UX has to explain uncertainty, system behavior and user control. Users need to know what the AI can do, what data it used, how confident the output is, what can be edited and when a human should approve the result.
Yes. 99 Francs designs AI app MVPs, prototypes, investor demos, AI SaaS flows, copilot interfaces and launch-ready product surfaces for founder-led teams.
This page is design-first. We also build AI product frontends, demos, websites and launch surfaces. For implementation-first intent, see AI App Development.