Human in the Loop

Misunderstood

A research-driven project on human–AI collaboration, built across four seasonal editions: a technical textbook, a reading workbook, a pamphlet, an interactive reader, and a deployable platform.

Lazaros Toumanidis — laztoum.com · what-if.io · limen-os.io

Winter Main textbook 18 chapters, technical appendices, teaching package, and canonical PDF. The full treatment. Summer Web workbook A reading-first edition with reflection questions, scenarios, and word puzzles. No citations — just thinking. Autumn Pamphlet Short, self-contained, designed to read in one sitting. A good place to start. Reader Interactive reader All four editions with text-to-speech, ambient audio, chapter navigation, and nine embedded games. Spring Platform A deployable treasure-hunt platform: Rust API, Python AI sidecar, React dashboard, Flutter mobile, OIDC auth. Companion Supporting materials Shorter documents, instructor notes, and study aids across the seasonal editions.

The central argument is that human judgment in AI-assisted decisions is not a temporary limitation of current systems — it is grounded in what decisions are and who is responsible for them. The five-dimension framework developed here (uncertainty detection, intervention design, timing, stakes calibration, and feedback integration) provides a practical scaffold for evaluating any HITL system.

The Winter edition is the primary technical reference. Autumn is the shortest entry point. Summer is the workbook. The Reader and Spring editions are interactive surfaces built on the same material.