AI Tools
Practical tooling for building with AI: frameworks, vector stores, observability.
4 notes · all topicsAgents & AI tools
Start here · beginner1
Next · intermediate3
- 2LLM Frameworks: Raw SDK, LangChain, LangGraph and Agent SDKsWhat each layer of the LLM tooling stack gives you, what it costs in complexity, and how to choose for a project.2 min
- 3Observability for LLM ApplicationsWhat to log for every LLM and agent call — prompts, tokens, latency, tool calls, outcomes — and how to turn traces into fixes.2 min
- 4Model Context Protocol (MCP) ExplainedA standard way to connect AI assistants to tools and data — servers, clients, tools, resources and prompts.3 min
