23 Learn & References

Product guidance and best practices for designing with Claude.

Why we list it: First-party guidance on streaming, tool use and agent UX from the model maker.

Evidence-based research on chatbots, AI UX and agent interfaces.

Why we list it: The most-cited research on how people actually use conversational UIs.

Engineering posts on streaming, AI UI and building with the AI SDK.

Why we list it: Practical, current writing on the streaming patterns behind AI apps.

Patterns for human-centered AI design from Google PAIR.

Why we list it: A durable reference for explaining AI capability and handling errors gracefully.

API and product guidance, including UI patterns for model interaction.

Why we list it: Useful for the protocol side — how streaming, tools and reasoning arrive.

Strategy essays on AI products, interfaces and the evolving stack.

Why we list it: Context for why AI UI patterns are shifting — good background reading.

Design toolkit for human-AI interaction, from Microsoft Research.

Why we list it: Pattern cards for explaining AI, handling failure and making capabilities legible.

Free university-level course on AI basics for non-specialists.

Why we list it: Grounds your team's mental model of what the UI is actually controlling.

Community guide to prompt engineering patterns and techniques.

Why we list it: Understand what your users' prompts are doing under the hood.

Documentation for models, tools and inference APIs.

Why we list it: Reference for model capabilities that UI states must reflect.

Newsletter and podcast on AI engineering and the people building it.

Why we list it: First-hand accounts of how shipped AI products design their UX.

Teardowns and strategies from AI product builders.

Why we list it: Close readings of shipped AI apps — a natural next step from this site's inspiration section.

Short, practical courses on LLMs, agents and AI app building.

Why we list it: Up-skill on the model side that your UI surfaces — agents, RAG, prompting.

Free course covering transformers, fine-tuning and LLM usage.

Why we list it: Understand the model behaviors your components render.

Engineering posts on building reliable agents, streaming and tool use.

Why we list it: First-party detail on the agent patterns behind production UIs.

API reference for DeepSeek's chat and reasoning models, with current pricing.

Why we list it: Read the reasoning-model page before designing a thinking UI — the API exposes the chain separately.

Recipes for streaming, function calling and RAG with the OpenAI API.

Why we list it: Code-level patterns that map 1:1 to our streaming and tool-call states.

One-page summaries of core UX principles, applicable to AI interfaces.

Why we list it: Ground AI-specific decisions in the same heuristics as any interface.

Practical guide to making UI look better — typography, spacing, hierarchy.

Why we list it: When AI components work but look plain, start here.

Large-scale UX research on e-commerce and general UI patterns.

Why we list it: Evidence on layout and flows — apply the same rigor to AI screens.

Long-form front-end and UX articles, increasingly covering AI in the design process.

Why we list it: A steady stream of practical design and code writing.

Weekly AI newsletter summarizing what's shipped in the industry.

Why we list it: Track which AI UI patterns are landing in real products.

Jack Clark's weekly newsletter on AI research, policy and products.

Why we list it: Context on the frontier capabilities your UI may need to show.