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Build an AI-powered text and image generation dashboard that interfaces with LLM APIs, streams text completions, and displays image grids.
Build an AI-powered text and image generation dashboard that interfaces with LLM APIs, streams text completions, and displays image grids.
Advanced frontend and full-stack developers eager to master streaming response APIs, handle LLM integrations, and build clean loading states.
Business Objective
Marketers require an AI assistant to generate copy. The application must stream LLM text completions in real-time, generate images using diffusion models, and display loading skeletons.
Core Features List
ai-generator/
├── app/
│ ├── api/
│ │ ├── chat/route.ts # LLM streaming endpoint
│ │ └── image/route.ts # Image generator endpoint
│ ├── page.tsx # Workspace panel
│ └── layout.tsx
├── components/
│ ├── ChatWindow.tsx # Stream wrapper
│ └── ImageGrid.tsx # Output cards
└── lib/
└── ai.ts # AI config tools`Chat Window` Component
Displays chat histories and streams active LLM responses.
`Image Grid` Component
Maps generated image outputs, rendering download links.
`Prompt Settings` Component
Form controls managing temperature inputs and size options.
POST /api/chat
Request:
{
"prompt": "Write a landing page copy"
}
Response (200 OK):
Stream: event-stream data (text chunks)Configure environment credentials and write basic LLM route handlers.
Implement client hooks reading chunked server-sent streams.
Build image generation forms, card grids, and download actions.
Integrate sidebar panels to save prompts and persist histories.
💡 Verify prompt limits before triggering backend requests.
💡 Use streaming formats to reduce perceived latency.
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