Back to blog

Building with LLMs? Try our AI docs
Just about everyone building products uses AI to help debug, learn, and build. When done right, this is a superpower and it should be celebrated. However, it can be difficult to build when an API has new features and endpoints that the LLM is not aware of. And things are constantly changing in the world of crypto and IPFS. To solve this for Pinata, we built AI docs.
Our AI docs have two purposes. First, they are formatted for easy ingestion and indexing by AI crawler bots. This makes them useful in the future when querying an LLM without additional context. Second, and more immediately useful to developers right now, we made these docs compressed and formatted in a way that you can pass right into your chat with whatever LLM you’re using.
When using an IDE that can accept URLs as context (such as Cursor), you can feed the entire docs link to the IDE and you’ll be able to get suggestions and run queries with up-to-date knowledge of Pinata’s API and SDK.
This approach bridges the gap between fast-moving API updates and AI-assisted development. Traditionally, developers had to rely on manually checking API documentation, reading changelogs, or waiting for LLMs to catch up with the latest features. By structuring our AI docs for both machine and human readability, we ensure that developers can stay ahead, building with confidence even as our API evolves. This eliminates the frustration of working with outdated AI responses and provides a more seamless development experience.
Another key benefit is that AI docs reduce the need for deep domain knowledge when getting started with Pinata. Whether you're integrating for the first time or troubleshooting a complex workflow, having documentation that can be directly referenced in an LLM chat speeds up problem-solving. Instead of searching for specific API parameters or debugging vague errors, developers can get targeted, accurate answers instantly. This makes AI docs particularly valuable for teams onboarding new developers or rapidly prototyping new features.
Beyond just keeping up with our API, AI docs also set the foundation for a more interactive and intelligent documentation experience. As AI continues to improve, we envision a future where developers don’t just consume static documentation but interact with dynamic, AI-powered assistants trained specifically on Pinata’s ecosystem. By building AI-friendly documentation today, we’re ensuring that our developers have the best tools at their disposal—not just now, but for the future of AI-driven development.