A sophisticated multi-agent AI pipeline, orchestrated by Mastra.ai, transforms your business description into production-ready software — with a mandatory human review gate before any code is generated.
For the reasoning behind this design — and why the engineering standards belong in the platform rather than in each project — see why AppWithAI exists.
Seven specialized AI agents work in sequence to transform your description into a deployable application.
From description to deployment in a guided, transparent process — every decision visible to you.
Write your business process in plain English. No technical knowledge or coding required. Describe what your business does, what data you track, and what rules govern your processes.
"We need a purchase order system. Vendors send us quotes, we create POs with line items for products and quantities. POs over $5,000 require manager approval; over $10,000 require finance director approval. We track delivery status and match invoices to POs before authorizing payment."
The Domain Analysis Agent, powered by your choice of AI (Claude, OpenAI, or a local Ollama model), deeply analyzes your business domain. It extracts the core concepts and identifies the key entities relevant to your process.
Vendor, PurchaseOrder, POLine, Product, Invoice, Delivery
Vendor → PurchaseOrder → POLine → Product; Invoice → PurchaseOrder
Approval thresholds, three-way matching, delivery tracking requirements
The Entity and Relationship Agents refine each detected entity — identifying all relevant attributes, data types, validation constraints, and the precise cardinality of each relationship.
| Field | Type | Constraint |
|---|---|---|
| po_number | String (auto-generated) | Unique, required |
| vendor_id | UUID Reference | Foreign key → Vendor |
| order_date | Date | Required, default today |
| total_amount | Decimal (currency) | Calculated from line items |
| approval_status | Enum | Draft | Pending | Approved | Rejected |
This is the critical differentiator of AppWithAI. Before generating a single line of code, the platform pauses and presents the complete data model for your review in the visual ERD designer. You can:
The Mermaid Agent produces a complete, validated Entity Relationship Diagram using Crow's Foot notation — showing all entities, attributes, primary keys, foreign keys, and relationships. This diagram serves as the authoritative blueprint for the generated application.
The Application Dictionary is generated — a metadata layer that controls how every form looks and behaves at runtime. This enables application administrators to reconfigure form layouts, field visibility, and validation rules without code changes.
All data tables — purpose, type, access level, and configuration
Every field in every table — type, constraints, validation, and display settings
Application screens and their tab structure — what they show and how they're organized
Role-based access definitions — which roles access which tables and fields
The Code Generation Engine processes the approved ERD and Application Dictionary through Handlebars templates, producing a complete, formatted, and deployable application. All generated code is standard TypeScript — no proprietary runtime required.
TanStack Start with React 19, Shadcn UI, and TailwindCSS — server-rendered, type-safe
NestJS 10+ with Fastify and Kysely — modular, DI-driven API server
PostgreSQL with full Kysely migration scripts and type-safe query builders
Playwright end-to-end tests auto-generated for every CRUD operation
Docker and Docker Compose configuration for all services
Better-Auth integration with complete RBAC guards per entity
Your application is ready to deploy on any cloud provider or on-premise environment. After initial deployment, administrators use the built-in admin interface to customize forms, rules, and workflows — no developer involvement required for ongoing configuration changes.
Describe your business to ChatGPT or Gemini Deep Research along with our machine-readable specification, bring back the one .mmd file it produces, and watch a complete application build and start in your browser. No account, no install, nothing sent anywhere.
A metadata-driven architecture — proven in enterprise ERP systems over decades — that makes every generated application configurable without developer involvement.
When application behavior is stored in database tables rather than hardcoded logic, administrators gain direct control over how the application looks and behaves — without waiting for development cycles.
| Requirement | Traditional | AppWithAI |
|---|---|---|
| Add a field to a form | Hours of development | Minutes in admin |
| Reorder form fields | Code change + deploy | Drag and drop |
| Change a validation rule | Code + test + deploy | Update config |
| Modify approval routing | Change code + redeploy | Update in admin |
| Create a new user role | Code + configuration | Create role + assign |
The Application Dictionary defines not just individual forms but the relationships between them — master-detail views, linked lookups, and cross-document navigation.
AppWithAI dramatically compresses the timeline from requirements to production deployment.
| Phase | Traditional Development | AppWithAI |
|---|---|---|
| Requirements and Design | 4–8 weeks | 1 day |
| Data Modeling | 2–4 weeks | Minutes (AI-generated, human-reviewed) |
| Form Development | 8–16 weeks | Hours |
| Business Rules Implementation | 4–8 weeks | Hours (visual decision flowcharts) |
| Workflow Configuration | 4–8 weeks | Hours |
| Testing and QA | 4–8 weeks | 1–2 weeks |
| Total Time-to-Value | 26–52 weeks | 1–3 weeks |
AppWithAI delivers production-ready applications 90% faster than traditional development.
Watch AppWithAI generate a complete business application from your description — live, in your meeting, in under 30 minutes.
Schedule a Live Demo