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Prioritize a reading list by decision value

Sorting by connection to live decisions converts a guilt pile into an instrument, and the read-to-answer-a-question technique is the highest-leverage retention move available. The summary-instead pile prices books at their idea density, and the intake rule fixes the upstream habit that built the pile.

Personal productivityAnalyzeSuggested model: openai/gpt-5.6-luna

Last reviewed July 17, 2026

The prompt
Prioritize my reading list.

The list: {{list}}
What I am working on and deciding in the next 3 months: {{context}}

Method:
1. Sort every item into four piles with one-line reasons:
   - Read now: directly feeds a live decision or project from my context.
   - Read a summary instead: the core idea is extractable and the book is one idea plus padding (name the core idea as proof).
   - Scheduled curiosity: genuinely valuable, no current hook; assign each a trigger ("when we start hiring, read X").
   - Release: admit I will never read it. Owning the admission frees the shelf and the guilt.
2. For the read-now pile: the order, what question I should read each item to answer (reading with a question doubles retention), and the chapters to skip if the item is a book.
3. The intake rule going forward: the 2 questions to ask before anything joins the list, derived from what my own piles reveal about my acquisition habits.
4. State the pattern you see in what I hoard vs what I use; that self-knowledge outlasts this list.

Be blunt in the release pile; sunk shelf-space is not an argument.
Run in idaptOpens a new chat with the prompt prefilled. Nothing sends until you press send.

Fill in the variables

VariableWhat it isExample
{{list}}The backlog[paste your list of books, articles, and saved links]
{{context}}Live projects and decisionshiring my first two reports; launching a paid tier

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