Learn to build on OpenRouter with your AI agent as your tutor. Understand what's actually happening under the hood: API calls, model selection, routing, tool calling, and production systems. Your agent guides you step by step.
Paste this into your agent to start learning
Works with Claude Code, Cursor, Devin, Codex, and any agent that can fetch URLs
Copy the prompt above and give it to your AI agent (Claude Code, Cursor, Devin, or any agent that can fetch URLs).
Your agent asks about your project, creates a learning plan, and starts building it with you. It teaches OpenRouter concepts along the way.
Your agent dynamically pulls in docs, features, and guides based on what your project actually needs. It teaches what matters to you.
New models every week. Pricing changes overnight. Providers go down without warning. Building directly against one provider means rewriting code when something better comes along. OpenRouter gives you a single integration point that adapts as the ecosystem evolves.
Not every task needs your most expensive model. Break your agent workflow into discrete steps, try different models on each, and find the cheapest option that still meets your quality bar.
New models ship every week. With OpenRouter, switching from one provider to another is a one-line change. No SDK swap, no code rewrite. Your code stays portable and you can always move to whatever works best.
Access OpenAI, Anthropic, Google, Meta, and hundreds more through a single OpenAI-compatible endpoint. Switch models by changing one string.
Automatic fallbacks, provider selection by price/latency/uptime, and smart routers that optimize your requests without code changes.
Built for autonomous agents: server-side tools (web search, code execution), structured outputs, streaming, and an Agent SDK with type-safe tool calling.
Guardrails, observability via Broadcast (Datadog, Langfuse, PostHog), response caching, rate limit management, and zero data retention policies.
Core foundations everyone covers, plus whatever your project needs. Dynamically pulled from the OpenRouter docs.
Universal concepts adapted to your project.
Your agent pulls in what you need from the docs.
Common questions about OpenRouter and this course.
OpenRouter is a unified API gateway for AI models. It gives you access to 400+ models from 60+ providers (OpenAI, Anthropic, Google, Meta, and more) through a single OpenAI-compatible endpoint. You change the model name in one line. Everything else stays the same.
You paste a single prompt into your AI agent (Claude Code, Cursor, Devin, etc.). Your agent fetches the course, asks what you want to build, and becomes your tutor. It teaches you OpenRouter concepts by building your actual project, dynamically pulling in the right docs based on what your project needs.
Any agent that can fetch a URL: Claude Code, Cursor, Devin, Codex, Gemini CLI, and more. The course is plain markdown with structured instructions. Any LLM-based agent can follow it.
The course itself is completely free. OpenRouter is free to sign up and offers free model variants for experimentation. Paid models are billed per token with a small platform fee on top of provider rates. See openrouter.ai/docs for details.
If you already use the OpenAI SDK, just change the base URL to https://openrouter.ai/api/v1 and swap in your OpenRouter API key. Your existing code, tool calls, and streaming logic all work as-is.
It depends on your project and how deep you want to go. Your agent adapts the pace to you. Core foundations typically take a session or two. Cost optimization, evals, and advanced topics can stretch across several more sessions. You can stop and resume anytime.
Yes. Your agent fetches docs directly from openrouter.ai/docs in real time, so you always learn from the latest documentation. As OpenRouter adds new features, your agent can discover and teach them automatically.
Core foundations everyone learns: how OpenRouter works, the API, SDKs, streaming, structured outputs, tool calling, agent patterns, and cost optimization. Beyond that, your agent dynamically pulls in whatever your project needs: multimodal, MCP, server tools, observability, routing, framework integrations, governance, and more.
No. Your agent writes all the code. You learn how OpenRouter works, why each feature matters, and how to architect effective AI applications. The agent explains what it's building and why at every step.
Give this prompt to your agent and start building with OpenRouter in minutes.