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AI Forms & Generative UI for LLM Chat

AI Forms That Your LLM Renders, Not Describes

Stop parsing walls of text out of your AI chat. AI Headless Forms give your LLM a spec it can answer in — so it returns a real form, table, or approval gate your app renders instantly. Built on MDMA, our open-source generative UI format: model-agnostic, framework-agnostic, and you own every byte of data.

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Open Source

Not a Black Box. Read the Source.

AI Headless Forms are powered by MDMA (Markdown Document with Mounted Applications) — our open-source generative UI engine that lets any LLM answer with interactive components instead of plain text. MIT-licensed, published on npm, and built in the open, so you can audit exactly what runs in your product before you commit to it.

Who Benefits from AI Headless Forms?

Higher conversion rates, lower support costs, faster time-to-market, and complete data sovereignty. AI Headless Forms deliver measurable business impact across every department that touches your customer journey.

Growth & Product Leaders

Challenge: Every form iteration burns engineering cycles and slows down revenue experiments. A/B tests that should validate in hours take weeks to ship.

Impact: Change a flow by editing a prompt and a Markdown block instead of shipping a release. Run experiments in days, not sprints, and get to a validated conversion path far sooner.

Engineering & Platform Teams

Challenge: Every AI feature ends up with its own bespoke UI and its own brittle parser for whatever the model returned. Scaling that across departments, regions, and compliance rules creates bottlenecks.

Impact: One validated schema for every interactive AI response. Ten component types, an open spec, and renderers for React, Vue, and React Native — so teams ship independently on shared infrastructure instead of rebuilding the same layer.

Customer Experience Leaders

Challenge: Complex multi-step forms drive abandonment. Users drop off when they don't understand fields, and static tooltips aren't enough.

Impact: Transform forms into guided conversations. Users get instant, contextual answers — boosting completion rates, reducing drop-offs, and elevating your brand's perceived quality.

Founders & Business Owners

Challenge: High form abandonment directly impacts revenue. Support teams waste time answering repetitive form-related questions instead of closing deals.

Impact: Self-service forms that convert more users with zero support overhead. AI guides every customer to completion — increasing revenue per visitor while cutting operational costs.

See AI Headless Forms in Action

AI Headless Forms demo — conversational form interaction

See MDMA in Action

Explore our interactive case study showcasing how MDMA powers a real-world KYC/AML verification workflow — with AI-generated forms, document verification tables, compliance checklists, and approval gates.

Try the Interactive Demo

    Ten Components Your AI Can Return

    A form is the entry point, not the ceiling. The same spec covers every interactive element an AI answer might need — so one integration serves your whole product, not a single flow.

    Form

    Text, number, email, date, select, checkbox, textarea, and file fields with validation, required flags, and sensitive (PII) markers.

    Table

    Typed columns and row data — document checklists, order lines, escalation history, anything better read than described.

    Chart

    Data visualisation inside the conversation. Ships as a lightweight table fallback; plug in your own chart renderer to keep bundle size yours to decide.

    Approval Gate

    Approve / deny workflow gates with pending, approved, and denied states — the building block of every multi-party sign-off.

    Tasklist

    Interactive checklists that track prerequisites and hold a process open until the required steps are actually done.

    Webhook

    Trigger a backend action from inside the document, with idle, executing, success, and error states rendered to the user.

    Button

    Primary, secondary, and danger action buttons wired to named actions instead of free-text instructions.

    Callout

    Info, warning, error, and success banners so the AI can flag risk visually rather than burying it in a paragraph.

    Thinking

    Collapsible reasoning blocks — show the AI's chain of thought when transparency matters, hide it when it doesn't.

    Custom

    A stable escape hatch for anything the built-ins don't cover. Register your own component and the AI can call it by name.

    Blueprints for Regulated Workflows

    Forms are where teams start. The workflows below are working, open-source blueprints in the MDMA repository — multi-step processes where a wrong answer is a compliance incident, not a bad UX.

    Finance & Compliance

    KYC / AML Case Review

    Identity verification with PII-flagged fields, a document verification table, and a compliance approval gate before a case can be cleared.

    Engineering & Compliance

    Change Management

    SOX/ISO release approval — risk assessment, dual approval, and a pre-deploy checklist that has to be complete before the gate opens.

    Critical Operations

    Incident Triage

    Severity assessment, stakeholder notification, resolution tracking, and closure gated behind an explicit sign-off.

    Healthcare

    Clinical Procedure Approval

    Clinical and QA review with safety verification steps before a procedure is published to staff.

    Customer Operations

    Customer Escalation

    SLA-aware escalation with sentiment tracking and a dynamic escalation-history table that grows as the case moves.

    HR Operations

    Employee Onboarding

    Personal details, equipment selection, and a manager checklist — one conversation replacing a chain of emails and PDFs.

    Why AI Headless Forms?

    Traditional forms are static, fragile, and frustrating. AI Headless Forms are adaptive, conversational, and built for the next generation.

    Forms are flexible — adjust, extend, or shrink them by writing text. A/B testing won't take days to prepare. It will take a few sentences.

    Like headless frontend — our library builds the foundation but UI can be whatever you like. Bring your own design system, framework, and components. Renderers ship for React, Vue 3, and React Native.

    AI generates the foundation but never stores your data. You can provide any context to the AI, but you own every byte — no vendor lock-in, no mandatory data sharing. The whole engine is MIT-licensed open source and can run entirely on your own infrastructure.

    Users interact with complex forms via chat — they can ask questions, request clarifications, see examples. No more tooltips. No more help articles. AI handles it all.

    Modern users prefer self-service over calling support. With AI Headless Forms, every user can handle any process independently — and when they need help, AI guides them.

    Simple forms are straightforward, but stepper forms get confusing after 2 steps. AI guides users through every dependency between inputs, keeping track of your preferences and business rules.

    Need to persuade users with data inside a form? Traditional forms offer limited options. Our AI provides relevant data, draws charts, and creates tables on demand.

    Worried about AI accuracy? Every generated block runs through a static validator with 17 lint rules — YAML correctness, schema conformance, unique IDs, binding syntax, PII flags — and six auto-fix strategies repair what the model got wrong before anything reaches the user. When a block still fails, a dedicated fixer prompt repairs it on the fly.

    Built for Regulated Environments

    The reason conversational forms stall in enterprise isn't the UX — it's the audit question. Everything below is in the engine, not on a roadmap.

    Tamper-Evident Audit Trail

    Every event — field change, submission, approval, denial — lands in an append-only log with hash chaining, so you can prove what a user saw and what they agreed to.

    Automatic PII Redaction

    Fields with PII-like names are detected and flagged automatically, then hashed, masked, or omitted from the event log according to your policy.

    Policy Engine

    Allow and deny rules per action and per environment. A webhook that fires in production stays inert in staging unless you say otherwise.

    Runs In Your Infrastructure

    MIT-licensed, no hosted runtime required, no telemetry to opt out of. Deploy on-prem or in your own cloud with the model provider of your choice — including a self-hosted one.

    No Runtime JavaScript in Documents

    Documents are Markdown plus YAML, parsed deterministically. A model-generated document can't execute code in your app — it can only describe components your renderer already trusts.

    Works With Your Model — Not Just Ours

    The generation quality of an AI form depends on the model behind it. We test that rather than assume it.
    01.

    Continuously Evaluated Across Providers

    We maintain model-specialised prompt variants and run them against eval suites covering one-shot generation, custom prompts, and multi-turn conversation flows — across OpenAI, Anthropic, Google, and xAI families. Results are published in the open-source repository, including the models that fail.

    02.

    Automatic Repair of Bad Output

    When a model returns a malformed block, the validator catches it and six auto-fix strategies repair IDs, bindings, PII flags, and schema gaps. Anything left over goes to a dedicated fixer prompt, tuned per model family, before the user ever sees a broken form.

    03.

    Our Own Fine-Tuned Model

    For teams that need lower latency and cost than a frontier model, we publish a fine-tuned open-weights model specialised in generating this format. It is available on Hugging Face and can run inside your own infrastructure.

    04.

    Agent-Ready Tooling

    An MCP server exposes the spec, prompts, and validation to AI assistants, and a portable agent skill teaches coding agents how to integrate it — so your own developers, and their agents, ramp up in hours.

    How We Deliver AI Headless Forms

    From discovery to production — a streamlined process to get your AI-powered conversational forms live.

    • 01

      Discovery & Design

      We analyze your existing forms, map user journeys, define form steps, validation rules, and the conversational layer — then design the AI instructions and data flow.

    • 02

      Headless Integration

      Connect the AI engine to your frontend stack. You build the UI layer with your design system while our SDK handles form logic, state management, and the chat interface.

    • 03

      Testing & Tuning

      Run the validator against your flows, evaluate the prompt across candidate models, tune it for your domain, and verify the conversation end to end with real user scenarios.

    • 04

      Launch & Iterate

      Go live with monitoring and analytics. Use natural language to iterate on form flows, review user conversations for insights, and continuously improve completion rates.

    Key Capabilities

    Everything you need to build intelligent, conversational forms.

    Natural language form configuration

    Conversational chat interface for users

    React, Vue & React Native renderers

    Static validation with auto-repair

    Built-in charts, tables & rich data

    Audit trail & automatic PII redaction

    MDMA Open Source Insights

    Read our latest articles about the MDMA open source project by Mobile Reality — AI-powered form engine, architecture deep-dives, and integration guides.

    Learn how generative UI builds personalized, reliable interfaces from trusted components with 1,377 tests revealing best formats for robust production use.

    28.07.2026

    Generative UI: How AI Builds User Interfaces on Demand

    Learn how generative UI builds personalized, reliable interfaces from trusted components with 1,377 tests revealing best formats for robust production use.

    Read full article

    Explore how AG-UI protocol streams 17 event types for real-time AI agent interaction, contrasting with MDMA's Markdown-based generative UI content format.

    03.07.2026

    AG-UI Protocol Explained: How It Compares to MDMA

    Explore how AG-UI protocol streams 17 event types for real-time AI agent interaction, contrasting with MDMA's Markdown-based generative UI content format.

    Read full article

    A developer's guide to generative UI frameworks in 2026: Vercel AI SDK, CopilotKit, Tambo, A2UI, AG-UI, json-render, and MDMA, with how each generates user interfaces.

    01.07.2026

    Top Generative UI Frameworks 2026: A Developer's Guide

    A developer's guide to generative UI frameworks in 2026: Vercel AI SDK, CopilotKit, Tambo, A2UI, AG-UI, json-render, and MDMA, with how each generates user interfaces.

    Read full article

    Compare json-render’s JSON tree and MDMA’s Markdown approach for AI-generated UIs to boost reliability, ease multi-turn edits, and simplify developer reviews.

    01.07.2026

    JSON Render vs MDMA: Why the MD Format Might Be the Better Choice for Generative UI

    Compare json-render’s JSON tree and MDMA’s Markdown approach for AI-generated UIs to boost reliability, ease multi-turn edits, and simplify developer reviews.

    Read full article

    Explore how conversational AI with MDMA enables real-time interactive responses like forms and buttons, boosting customer action completion by integrating dialogue and workflows seamlessly.

    09.06.2026

    Conversational AI with Interactivity

    Explore how conversational AI with MDMA enables real-time interactive responses like forms and buttons, boosting customer action completion by integrating dialogue and workflows seamlessly.

    Read full article

    Boost sales leads by 30% with MDMA AI forms—dynamic, context-aware chat forms that capture cleaner data and reduce funnel drop-offs seamlessly.

    03.06.2026

    MDMA AI Sales Assistant 2026: Boost Leads 30%, Own Your Forms

    Boost sales leads by 30% with MDMA AI forms—dynamic, context-aware chat forms that capture cleaner data and reduce funnel drop-offs seamlessly.

    Read full article

    Compare MDMA conversational forms with traditional frontend development. Better user engagement, chat-like interactions, and a superior user experience for your forms.

    15.04.2026

    Conversational Forms: MDMA vs Traditional Frontend Development

    Compare MDMA conversational forms with traditional frontend development. Better user engagement, chat-like interactions, and a superior user experience for your forms.

    Read full article

    Cut dev time by 80% using MDMA to generate AI-powered forms dynamically—compare it with Retool and custom UI for cost, compliance, and flexibility in 2026.

    21.04.2026

    AI Form Builder: Cut Dev Time 80% with MDMA vs Retool vs Custom

    Cut dev time by 80% using MDMA to generate AI-powered forms dynamically—compare it with Retool and custom UI for cost, compliance, and flexibility in 2026.

    Read full article

    Build interactive AI agents with markdown for AI agents using MDMA. Deploy a mortgage pre-approval agent in 5 minutes with real example code and zero fluff.

    21.04.2026

    Markdown for AI Agents: Build Interactive Agents Fast 2026

    Build interactive AI agents with markdown for AI agents using MDMA. Deploy a mortgage pre-approval agent in 5 minutes with real example code and zero fluff.

    Read full article

    Cut AI UI token costs by 16% using MDMA’s Markdown vs Google A2UI JSON. Gain audit trails, PII redaction, approval gates, and better model reasoning.

    01.07.2026

    Google A2UI vs MDMA 2026: Cut AI UI Token Costs 16%

    Cut AI UI token costs by 16% using MDMA’s Markdown vs Google A2UI JSON. Gain audit trails, PII redaction, approval gates, and better model reasoning.

    Read full article

    Cut AI workflow errors by 45% and speed delivery 40-60% faster using MDMA’s open-source LLM interface with interactive forms and audit trails.

    13.05.2026

    LLM Interface 2026: Cut AI Workflow Errors 45% and Speed Up

    Cut AI workflow errors by 45% and speed delivery 40-60% faster using MDMA’s open-source LLM interface with interactive forms and audit trails.

    Read full article

    LLMs lose 34% tokens and 10-15% reasoning accuracy in JSON mode. MDMA generates interactive forms, tables, and approval gates from extended Markdown.

    23.04.2026

    Structured LLM Output Without JSON Schemas | MDMA

    LLMs lose 34% tokens and 10-15% reasoning accuracy in JSON mode. MDMA generates interactive forms, tables, and approval gates from extended Markdown.

    Read full article

    LLMs lose flexibility with JSON schemas. Generative UI lets AI return interactive forms, tables, and approval gates from extended Markdown. See real examples.

    01.07.2026

    Generative UI: AI-Driven User Interfaces Transforming Design

    LLMs lose flexibility with JSON schemas. Generative UI lets AI return interactive forms, tables, and approval gates from extended Markdown. See real examples.

    Read full article

    FAQ: AI Forms

    Form engine separating data/logic from UI. AI manages structure, validation, conversational guidance — you bring your own design system.
    Chat interface alongside the form — users ask questions, get clarifications, examples, real-time guidance.
    No. All data stays in your infrastructure, no vendor lock-in.
    AI instructions tested across models for 98%+ correct rendering + deterministic verificator for edge cases.
    Yes, framework-agnostic — React, Vue, Angular, any frontend.
    Built on MDMA but works as standalone integration.
    4-step process, most teams go live within a few days.