Neurodivergent Learning
Adapt format and pacing while preserving the learning outcome — never diagnose from a chat.
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7 min readGoing back to study after years away: a return plan that keeps the thinking yours
Returning to formal study after a decade away is mostly a confidence and logistics problem, not a knowledge problem. A return-to-study plan that uses AI to organize the catch-up schedule while keeping the actual coursework unaided.
Beginner
9 min readRead less, remember more: an AI-assisted reading loop
Asking AI to summarize a document is the fastest way to feel informed and forget everything by Friday. A reading workflow — preview, active questions, unaided recall, source-checked synthesis — that keeps you the one who understood the text.
Beginner
9 min readDeliberate practice with AI: feedback that makes you do the work
The fastest way to make AI-assisted practice useless is to ask for the answer before you have attempted the problem. A practice-loop workflow — subskill, attempt, rubric, feedback, retry — that keeps the effort where the learning actually happens.
Beginner
6 min readDrafting an Accommodation Request: Turn a Barrier Into a Concrete Ask
Describe a functional barrier, a specific request, and a fallback alternative — without disclosing more health information than the situation actually needs. You control the identity language and the disclosure; the model only helps structure the ask.
Beginner
9 min readBuild a skill curriculum from outcomes, not a pile of links
A method for turning a target capability into prerequisites, practice tasks, evidence, and review checkpoints — instead of a bookmark pile of courses you never finish.
Intermediate
7 min readTravel Planning That Survives Opening Hours, Visas, and Reality
Build an itinerary the model helped assemble but you verified — every opening hour, visa requirement, and connection margin checked against a primary source, with a fallback for anything that depends on something outside your control.
Beginner
7 min readWhat Deteriorates When You Outsource Thinking
Letting a model write the first draft of every essay, email, and argument feels efficient right up until you notice you can no longer produce the first draft yourself. A skill-preservation audit — baseline, unaided attempt, assisted phase, independent check — keeps the effort where the learning actually happens.
Beginner
7 min readSpaced practice, retrieval, and interleaving—with AI doing the right work
Build a practical study system around three evidence-backed learning techniques, two of them strongly supported and one more tentative. AI prepares questions and feedback; you perform the retrieval and make the distinctions.
Beginner
7 min readWhy AI explanations feel like learning—and often aren't
A fluent explanation can make a subject feel familiar before you can actually use it. These three tests reveal whether AI helped you learn or merely helped you follow along.
New to AI
7 min readAI for learning a new skill: a 30-day self-study plan
A structured 30-day approach to using AI as a personal tutor and curriculum designer. Four weeks, four phases, with the exact prompts and the habits that make learning stick.
Beginner
8 min readDeep Research mode: a 20-page report without reading 50 tabs
Deep Research — the autonomous research feature in ChatGPT, Gemini, Claude, and Perplexity — produces in fifteen minutes what used to take you a day. A practical guide to using it well.
Beginner
7 min readLearning anything faster with AI: from "explain like I'm 12" to practice quizzes
A four-prompt loop that turns any AI into a private tutor — explainer, examples, practice, and feedback. Works for any topic, any background.
New to AI
8 min readNotebookLM: turn any source into a personal knowledge base
Google's NotebookLM is the easiest way to chat with your own documents — books, papers, meeting notes, research files. A practical tour of what it does, where it shines, and the four use cases worth setting up this week.
Beginner