Task Management Demo

Task management with AI workflow automation. Creates tasks, tracks progress, and assigns work automatically.

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Problems solved

Technical challenges this implementation handles out of the box.

Products and workflows this pattern is designed to support.

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.

1
Install from the preview toolbar
Copy the install command above and run it in your project — Pro patterns include a short-lived token.
2
Add environment variables to .env.local
OPENAI_API_KEY
3
Point client fetches at your API routes
Replace preview `/view/.../api/...` paths with `/api/...` in the installed files.
4
Customize the agent and tool files
Adapt prompts, tools, and stop conditions for your product — Copy for AI in the toolbar helps seed that work.
5
Run your dev server and open the pattern route
Install dependencies if needed, then start the app and verify responses.

AI SDK APIs

streamObject

Providers

OpenAI

6 files

2 total

npm packages

AISDKNext.js

agent/route.ts
API route using streamObject with a structured Zod schema to generate development task workflows. Uses google/gemini-3-flash to produce structured task data via toTextStreamResponse().
lib/schema.ts
Zod schema defining the structured output format for task generation: tasksSchema wraps an array of taskSchema objects with title, status, and items array.