Neurodivergent Learning
Adapt format and pacing while preserving the learning outcome — never diagnose from a chat.
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Turn a verified company brief into genuinely different webpage concepts, test them with real content, and select a direction using business, accessibility, performance, and implementation evidence rather than visual novelty alone.
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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.
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7 min readWhat deteriorates when you outsource thinking
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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.
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9 min readDeliberate practice with AI: feedback that makes you do the work
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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.
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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.
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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.
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7 min readAI for learning a new skill: a 30-day self-study plan
A 30-day AI-supported study scaffold built around practice, retrieval, feedback, and a real project, with clear limits on curriculum and assessment claims.
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8 min readDeep Research mode: frame the question and audit the sources
Deep Research — the multi-step web research mode in ChatGPT, Gemini, Claude, Perplexity, and similar tools — can return a cited, structured report after a longer autonomous run. A practical guide to framing questions, auditing sources, and knowing when not to use it.
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7 min readLearning anything faster with AI: from "explain like I'm 12" to practice quizzes
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8 min readNotebookLM: Build a Source-Grounded Research Notebook
Build a focused NotebookLM collection, ask source-grounded questions, and verify the cited passage before relying on an answer.
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