Context Engineering with Claude

About this book

Context Engineering with Claude focuses on the information architecture that makes an AI agent reliable. It organizes context into durable instructions, user and task intent, project and domain packs, retrieval and evidence, tool state, long-context prioritization and compression, structured outputs, handoffs, and approval points. Fifty templates help inventory context, detect gaps, define constraints, evaluate sources, interpret tool results, structure workflows, and create reviewable outputs while preserving human oversight for sensitive work.

What you will learn

• Map the layers of context an agent needs instead of relying on a single oversized prompt.
• Separate durable instructions from task-specific intent, evidence, and tool state.
• Evaluate retrieval sources and build evidence-first context packs.
• Compress and prioritize long context without silently discarding critical constraints.
• Design structured outputs, handoffs, and approval gates that keep work reviewable.

Key topics

• Context engineering
• System instructions
• Task and user intent
• Project and domain context
• Retrieval and evidence
• Tool context
• Long-context compression
• Structured outputs and approvals

Who this book is for

For AI engineers, agent designers, product teams, and advanced users building reliable Claude workflows.