A Manual of Advanced Automation with Artificial Intelligence

How do you build an automated AI system that not only works in a demo, but survives in production?

This manual answers that question from start to finish. It brings together, organized as a body of doctrine, everything needed to design AI automation systems that are reliable, observable, and ready for real-world environments. No prior knowledge required: every concept is introduced, explained in detail, and illustrated with applied examples.

Across six parts and three annexes you will master:

- Workflow architecture: APIs, webhooks, fallbacks, idempotency, and observability.

- Knowledge retrieval: the RAG paradigm, embeddings, and semantic search.

- Multimodality: handling images, audio, and video.

- Human control and resilience: combining AI with oversight and designing systems that fail well.

- Quality and production: sound engineering practices and automatic evaluation.

- Integration: the anatomy of a complete system.

A practical, rigorous guide for students, professionals, and entrepreneurs who want to move from excitement about AI to building systems that actually work.

Format: PDF · 96 pages · 2026 Edition.