AI-generated data tables using json-render. Describe columns, rows, sorting, and filters — stream specs into an interactive DataTable with toolbar satellites.
Requirements, wiring steps, and what this pattern adds to your project.
Pick how you want to pull this pattern in. Then wire env vars and routes the same way.
Download → Next.js app
Use Download → Next.js app in the preview toolbar. You get a zip scaffold (Pro downloads rewrite preview `/view/.../api/*` paths to `/api/*` automatically).
Extract the zip and install dependencies
Unzip the archive, then run `pnpm install` (or npm / yarn) in the project folder.
Fill .env.local
The download includes .env.local placeholders when needed. Add real values for: AI_GATEWAY_API_KEY.
Customize the agent and tool files
Adapt prompts, tools, and stop conditions in the generated project for your product.
Run the app and open the pattern route
Run `pnpm dev`, open the setup/checklist page if present, then navigate to the generated pattern route and verify responses.
AI_GATEWAY_API_KEYGet keyAI SDK APIs
streamTextgatewayProviders
External services
app/page.tsxapp/layout.tsxapp/api/json-render-table/route.tscomponents/json-render-demo.tsxcomponents/empty-state.tsxcomponents/data-table.tsxcomponents/table-interaction-context.tsxcomponents/data-table-schema.tsxcomponents/satellites.tsxlib/catalog.tslib/registry.tsxlib/table-components.tsxlib/rate-limit.tslib/request-utils.tslib/json-render-table-debug.tsnpm packages
10
Registry components
lib/catalog.tsdefineCatalog with tableComponentDefinitions from data-table-schema; getTablePrompt() feeds the streaming API system prompt.
lib/registry.tsxdefineRegistry wiring DataTable and satellite components through lib/table-components adapters for json-render ComponentContext.
lib/table-components.tsxComponentFn adapters mapping { props, emit } to flat props and onAction for the table UI implementations.
json-render-table/route.tsStreaming POST handler: rate limit, getTablePrompt(), streamText via gateway("anthropic/claude-sonnet-4.6").
AI-generated data tables using json-render. Describe columns, rows, sorting, and filters — stream specs into an interactive DataTable with toolbar satellites.
Requirements, wiring steps, and what this pattern adds to your project.
Pick how you want to pull this pattern in. Then wire env vars and routes the same way.
Download → Next.js app
Use Download → Next.js app in the preview toolbar. You get a zip scaffold (Pro downloads rewrite preview `/view/.../api/*` paths to `/api/*` automatically).
Extract the zip and install dependencies
Unzip the archive, then run `pnpm install` (or npm / yarn) in the project folder.
Fill .env.local
The download includes .env.local placeholders when needed. Add real values for: AI_GATEWAY_API_KEY.
Customize the agent and tool files
Adapt prompts, tools, and stop conditions in the generated project for your product.
Run the app and open the pattern route
Run `pnpm dev`, open the setup/checklist page if present, then navigate to the generated pattern route and verify responses.
AI_GATEWAY_API_KEYGet keyAI SDK APIs
streamTextgatewayProviders
External services
app/page.tsxapp/layout.tsxapp/api/json-render-table/route.tscomponents/json-render-demo.tsxcomponents/empty-state.tsxcomponents/data-table.tsxcomponents/table-interaction-context.tsxcomponents/data-table-schema.tsxcomponents/satellites.tsxlib/catalog.tslib/registry.tsxlib/table-components.tsxlib/rate-limit.tslib/request-utils.tslib/json-render-table-debug.tsnpm packages
10
Registry components
lib/catalog.tsdefineCatalog with tableComponentDefinitions from data-table-schema; getTablePrompt() feeds the streaming API system prompt.
lib/registry.tsxdefineRegistry wiring DataTable and satellite components through lib/table-components adapters for json-render ComponentContext.
lib/table-components.tsxComponentFn adapters mapping { props, emit } to flat props and onAction for the table UI implementations.
json-render-table/route.tsStreaming POST handler: rate limit, getTablePrompt(), streamText via gateway("anthropic/claude-sonnet-4.6").
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Early-bird pricing — limited time

Open on desktop for the interactive preview.
AI-generated data tables using json-render. Describe columns, rows, sorting, and filters — stream specs into an interactive DataTable with toolbar satellites.
Loading preview…
Early-bird pricing — limited time

Open on desktop for the interactive preview.
AI-generated data tables using json-render. Describe columns, rows, sorting, and filters — stream specs into an interactive DataTable with toolbar satellites.