MANUSCRIPT READING PATH
Building Reliable AI Systems
Separate model capability, system reliability and delegation judgment. Prefer official documentation, production reports, evaluation guidance and failure postmortems.
Suggested sequence
- 01
Start with current official documentation
- 02
Study structured outputs, retrieval, tools and human review
- 03
Add evaluation, privacy, security, latency and cost controls
- 04
Read failures alongside success stories
Questions to carry
- What can the model do favorably?
- What can the system do repeatedly?
- What should an accountable organization delegate?