A practical blueprint of safety patterns, architecture, and policies to keep agentic AI reliable, secure, and aligned in production.
A practical guide to function calling vs. tool use in LLMs: architectures, trade-offs, design patterns, reliability, security, and evaluation.
A practical tutorial on reasoning models and chain-of-thought: safe prompting, self-consistency, tree-of-thought, tooling, and evaluation patterns.
A practical guide to the ReAct (Reason + Act) pattern for agentic AI, with design choices, code, safety, and evaluation tips.
A practical, end-to-end tutorial for Claude API tool use: define tools, run the tool loop, add web search/fetch, and productionize with SDK patterns.
