AI MVP frontends
Product-like frontends for AI demos, beta launches, investor prototypes, internal pilots and early customer validation.
Industry · AI Development
AI app development for MVP frontends, demos and launch-ready services.
99 Francs® builds AI product frontends, AI SaaS websites, copilot interfaces, workflow tools, dashboards and launch surfaces that make AI products usable outside the demo room.
Build status
AI demo launch
Prompt flow
BuiltStreaming state
BuiltOutput review
BuiltResponsive QA
Passed0
Critical interface blockers
Direct answer
99 Francs provides AI app development services for MVPs, demos and launch-ready product surfaces.
The scope covers frontend development for AI SaaS, chat and workflow interfaces, landing pages, dashboards, CMS builds and product-like prototypes — built so AI teams can ship a credible surface fast.
AI development services
Frontend and launch work for AI products with real states.
AI development is not only connecting a text box to a model. The product needs states, controls, content, responsive behavior and a launch path buyers can trust.
Chat and copilot interfaces
Chat surfaces, command bars, prompt templates, streaming states, output panels, approvals and reusable frontend patterns.
AI SaaS websites
Landing pages, comparison pages, pricing pages, CMS content, demo flows and product storytelling for AI startups.
Workflow and dashboard builds
Interfaces for AI automation, review queues, data products, operational dashboards, state-heavy flows and launch QA.
The model works, but the product is not shippable
We build the frontend surface around the AI behavior: inputs, outputs, loading, streaming, review, errors, empty states and responsive layouts.
The AI startup needs a credible demo
We turn the product story into a working launch surface or demo experience that investors, users and early customers can understand.
The website cannot explain the AI product
We build AI SaaS pages with use cases, proof, comparison content, FAQ structure, CMS flexibility and SEO/AEO-ready content surfaces.
The launch has too many product states
We help define and implement the visible states: waiting, generating, failed, partial, approved, edited, exported and complete.
Process
From AI demo to shippable product surface.
Define the AI surface
We map the frontend scope, model touchpoints, product states, pages, CMS needs, forms, analytics and launch constraints.
Build the product experience
We implement the AI app surface, website, MVP frontend or demo with responsive behavior, polished states and reusable structure.
QA the launch path
We test key flows, content states, breakpoints, forms, metadata, performance and handoff details before the product goes live.
Related launch work
Product surfaces for search, content and MVP workflows.
Mobile app
Digsdy real estate
AI-powered real estate platform that understands user queries in chat, analyzes preferences, and delivers relevant property listings in real time. Built as an MVP in Webflow.
Video transcription
Willowrid SaaS
SaaS tool that transforms YouTube or Vimeo videos into blog posts in a few clicks. Minimal steps, clean UI, and instant clarity designed for content creators.
AI development FAQ
Build the visible AI product without pretending the model is the whole product.
AI app development is the implementation of AI-powered product surfaces such as MVP frontends, chat interfaces, copilots, dashboards, workflow tools, demos, landing pages and launch-ready web experiences.
99 Francs focuses on the product-facing layer: UX/UI, frontend, websites, product demos, CMS, launch pages and interface states. For backend-heavy model infrastructure, we define the frontend boundary clearly and coordinate with your engineering team.
Yes. We can build from existing Figma files, improve missing responsive states, identify unclear AI product states and implement the frontend surface for launch or testing.
This page is development-first. We also design AI UX, product flows, prompt experiences, copilots, agent workflows and MVP prototypes. For design-first intent, see AI App Design.