Build Your Own AI
Pick your use case, get a recommended stack, and start building
Pick your use case
Get a recommended stack for your project
Chatbot
Full-stack AI chatbot with streaming responses, conversation memory, and easy deployment. Best for customer support, internal tools, and SaaS products.
Claude Sonnet 4.5
LLM - handles conversation and reasoning
Vercel AI SDK
SDK - streaming, tool calling, structured output
Next.js
Framework - full-stack React with API routes
Vercel
Hosting - serverless deployment with edge functions
ALTERNATIVES
Provider Comparison
| Provider | Models | Price | Strengths | Best For |
|---|---|---|---|---|
| OpenAI | GPT-4o, GPT-4o mini, o1 | $$$ | General purpose, largest ecosystem, multimodal, enterprise integrations | Enterprise apps, general-purpose assistants |
| Anthropic | Claude Sonnet 4.5, Claude Haiku 3.5 | $$ | Coding, safety, long context (200K), agent reliability, extended thinking | Developer tools, coding agents, safety-critical apps |
| Gemini 2.0 Flash, Gemini 1.5 Pro | $$ | Multimodal, 1M+ context window, agentic capabilities, competitive pricing | Research, document analysis, multimodal applications | |
| Meta | Llama 3.3 70B, Llama 3.1 405B | Free | Open weights, fully customizable, no vendor lock-in, 128K context | Self-hosted deployments, fine-tuning, on-premise |
| Mistral | Mistral Large 2, Codestral | $ | EU-based, fast inference, native function calling, GDPR compliant | Europe-based companies, cost-sensitive applications |
| DeepSeek | DeepSeek V3, DeepSeek R1 | $ | Exceptional price/performance, strong math and reasoning, open-weight | Budget-conscious apps, reasoning-heavy tasks |
Guides & Tutorials
Create a production-ready AI chatbot using the Anthropic API, Vercel AI SDK, and Next.js App Router. Covers streaming responses, conversation history, and deployment to Vercel.
Build a retrieval-augmented generation system that answers questions from your own documents. Covers document ingestion, vector indexing, hybrid search, and response synthesis with citations.
Design and implement a multi-agent system where specialized AI agents collaborate on complex tasks. Covers graph-based orchestration, shared state, tool delegation, and human-in-the-loop patterns.
Set up a complete image generation pipeline using Flux models. Covers local setup with ComfyUI, prompt engineering for consistent results, LoRA fine-tuning, and batch processing workflows.
Build a conversational voice assistant combining speech-to-text, an LLM for reasoning, and ElevenLabs for natural text-to-speech. Covers real-time streaming, voice cloning, and latency optimization.