AI: A Practitioner’s Guide
Coming soonA field guide for teams who want to use AI responsibly — without handing over judgment to the model. Focused on workflow design, controls, and escalation paths.
Expected: TBA
Beyond Prediction: How AI Thinks — and Fails to Think
NewA clear, practical guide to what modern AI systems actually do — and what they don’t. Written for leaders, analysts, and operators who need more than buzzwords to make decisions about AI in real organizations.
- Explains why LLMs are powerful prediction engines — not magic oracles.
- Distinguishes probabilistic “fluency” from deterministic computation.
- Introduces concepts like context windows, working memory, and “smart tokens.”
- Shows how to design workflows that keep a human firmly in the loop.
By Pargev Ayvazyan, with AI collaboration.
Coming Soon
Early concepts — subject to change.Humans, Models, and the Governance Pyramid
Coming soonA short, practical book on how to structure data governance, model governance, and decision governance so that AI tools strengthen — not weaken — accountability.
Expected: TBA
Tokens, Context, and Smart Limits
Coming soonA visual, non-technical primer on tokens, context windows, and why “smart tokens” change how we think about AI tools in real workflows.
Expected: TBA