Teaching Minds or Just Mimicking? When LLMs Play Teacher Tutoring looks simple when the answer is already known. A student takes the wrong path. The teacher sees the better path. The teacher gives one piece of advice. Everyone nods, learning happens, and somewhere a product slide quietly adds “personalized AI tutor” beside a cheerful icon of a graduation cap. ...
A practical guide to writing prompts that produce useful, controlled outputs for real business work rather than clever toy demos.
TL;DR for operators AI-assisted monitoring does not become trustworthy because a human occasionally clicks “wrong label.” It becomes useful when the whole product is designed to capture, validate, resolve, and redeploy human judgement. The paper behind this article studies an open-source Telegram monitoring tool being developed with civil society organisations, using conspiracy-theory classification as the working scenario.1 Its practical contribution is a workflow: Telegram posts are classified, CSO users review labels during their normal monitoring work, their feedback is stored with metadata, and that accumulated feedback becomes a gold-standard dataset for model evaluation and refinement. ...