Nine platform capabilities · 01
AI generation
Business requirements in, system capabilities out. The AI development assistant generates standardized elements from platform specifications, without hand-written code.
What it is
Automatic generation in JitAI means more than AI helping you write code. AI produces system components directly under platform contracts: models, services, pages, workflows and agents are all delivered as elements that conform to specifications and are recognized by the runtime.
- Describe requirements in a conversation; AI breaks them into elements and generates each one
- The output is standardized elements, rather than scattered code snippets
- Elements enter execution after passing all six automated checks
Without it
- Traditional AI coding: an open programming space permits unbounded types of errors, and output still requires compilation and deployment
- Low-code platforms: people configure controls manually, while complex logic remains difficult to express
- Outsourced development: requirements become documents and then code, with delivery measured in months
How it works
How JitAI makes it work
Contract-constrained generation
Type specifications constrain the form of AI output, reducing unbounded errors to enumerable categories
Six automated checks
Validate source code, app relationships, builds, loading, functionality and runtime behavior
Validation as feedback
Validation results and runtime exceptions return directly to development AI without manual retelling
Required design clarification
Unresolved ambiguity prevents a design from being confirmed; persisted records contain facts rather than conversation history
AI produces elements inside the system under contracts, rather than writing code outside it.
Explore more
Nine platform capabilities
AI generation
Built with the AI development assistant, without hand-written code
Current page
Business twins
Map real business operations across scenarios
Explore featureAI-native
Perceive / understand / invoke / execute
Explore featureEnterprise ownership
Private deployment, enterprise-owned data
Explore featureTwo modes, one foundation
AI and application functions share one system
Explore featureRobust by specification
Standardized elements, six validation stages
Explore featureContinuous evolution
Evolve dynamically as requirements change
Explore featureControl and governance
Auditable, traceable and reversible
Explore featureConversation + source code
Build without touching code, customize with source when needed
Explore feature