Queue management assistant using AI agents. Generate structured queues with messages, todos, and attachments through conversation.
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: GOOGLE_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.
GOOGLE_API_KEYGet keyAI SDK APIs
generateObjecttoolAgentvalidateUIMessagesProviders
app/page.tsxapp/layout.tsxapp/api/agent/route.tscomponents/queue-demo.tsxlib/queue-agent.tslib/queue-tool.tslib/types.tslib/schema.tslib/request-utils.tsREADME.mdnpm packages
5
Registry components
agent/route.tsAPI route using createAgentUIStreamResponse with the Experimental_Agent pattern. Shows the new Agent API pattern from AI SDK.
lib/queue-agent.tsDefines the queue management Agent using the Experimental_Agent API from AI SDK. Uses google/gemini-3-flash with createQueue tool and stepCountIs(5) stop condition.
lib/queue-tool.tsImplements the createQueue tool that uses generateObject with a structured Zod schema to generate queue data (sections with messages, todos, attachments).
Queue management assistant using AI agents. Generate structured queues with messages, todos, and attachments through conversation.
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: GOOGLE_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.
GOOGLE_API_KEYGet keyAI SDK APIs
generateObjecttoolAgentvalidateUIMessagesProviders
app/page.tsxapp/layout.tsxapp/api/agent/route.tscomponents/queue-demo.tsxlib/queue-agent.tslib/queue-tool.tslib/types.tslib/schema.tslib/request-utils.tsREADME.mdnpm packages
5
Registry components
agent/route.tsAPI route using createAgentUIStreamResponse with the Experimental_Agent pattern. Shows the new Agent API pattern from AI SDK.
lib/queue-agent.tsDefines the queue management Agent using the Experimental_Agent API from AI SDK. Uses google/gemini-3-flash with createQueue tool and stepCountIs(5) stop condition.
lib/queue-tool.tsImplements the createQueue tool that uses generateObject with a structured Zod schema to generate queue data (sections with messages, todos, attachments).
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Early-bird pricing — limited time

Open on desktop for the interactive preview.
Queue management assistant using AI agents. Generate structured queues with messages, todos, and attachments through conversation.
Loading preview…
Early-bird pricing — limited time

Open on desktop for the interactive preview.
Queue management assistant using AI agents. Generate structured queues with messages, todos, and attachments through conversation.