Other Booklets in This Series

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The Booklets Collection is a series of practical guides for developers who work with large language models. Each booklet solves a specific problem in the AI-assisted development workflow. They work independently but complement each other as a system.

Brew & Brief — The AI Session Kickstarter

A command-line tool that scans your project, extracts recent changes, and generates a compressed hydration prompt optimised for your preferred AI platform. One command replaces the fifteen minutes you spend re-explaining your project at the start of every session. Works with Claude, ChatGPT, Gemini, Mistral, Perplexity, and Cohere.

Seal & Store — The Session Archiver

The twin of Brew & Brief. At the end of a session, Seal & Store captures the state of your project, generates a structured re-anchor, and backs it up to your cloud storage. Includes conflict detection, handoff prompt generation, and adapters for Dropbox, Google Drive, OneDrive, and local storage.

The Developer’s Playbook for LLM-Assisted Development

The methodology manual. Covers project setup, naming conventions, folder structure, Claude Projects configuration, directory mapping, and the principles that make AI collaboration effective. This is the textbook that makes the tools make sense.

The Deployment Guide — From “It Works” to “It’s Working”

Covers five major deployment platforms with step-by-step guides, Docker configurations, CI/CD templates, and a pre-deployment checklist. Includes a complete template library for Railway, Vercel, Render, Fly.io, and AWS.

Prompt Engineering for Developers

Structured prompt design for production use. Covers template architecture, variable injection, chain-of-thought patterns, multi-model prompt adaptation, and testing strategies. Focused on repeatable, version-controlled prompts rather than one-off experimentation.

The Multi-Agent Guide

Designing, building, and governing systems where multiple AI agents collaborate. Covers agent role definition, communication protocols, state management, error recovery, and the governance patterns that prevent multi-agent chaos.

The Memory Bank — Building Your Conversation Archive

How to build a searchable database of all your LLM conversations. Covers ingestion from multiple platforms, schema design, full-text search, evidence extraction, and the cross-session pattern detection described in Chapter 11 of this book.

The Testing Cookbook

Test strategies for AI-generated code. Covers error scenario design, hallucination detection, regression prevention, test-inclusive sprints, and the quality gates that ensure code meets specification before delivery.