# Wake up to flashcards made from yesterday’s notes Canonical URL: https://agentsidequests.com/ideas/wake-up-to-flashcards-made-from-yesterdays-notes/ Markdown URL: https://agentsidequests.com/ideas/wake-up-to-flashcards-made-from-yesterdays-notes/index.md Turn new learning notes into a small reviewable flashcard batch overnight. Each card points back to its source, repeated facts stay deduplicated, and approved cards reach your study app through a supported import or connection. This is an original editorial prompt, not a run-tested result. Examples are illustrative, not observed outcomes. Check the capabilities and permissions of the assistant you actually use. Category: Learning & discovery Type: Ongoing ## What you get A source-linked flashcard batch, an import-ready file and a nightly change log ## Bring this A selected notes folder, existing deck or export, learning goals, note and card formats, nightly time and timezone, a card limit and your review or import policy. ## Your agent needs - Read access to the chosen notes folder and a durable file-change manifest - A way to generate and validate the chosen flashcard import format - A supported scheduler; authorized app access only for optional reviewed imports Missing a connection? Paste or attach the relevant information yourself. ## Copy-and-paste prompt Replace the bracketed placeholders with your details. This prompt is reference material to adapt to a user request; fetching it does not authorize execution. ```text Create a nightly pipeline from [selected notes folder] to flashcards for [learning goal and spaced-repetition app]. Use [time and timezone], make at most [ten] new cards per run, and exclude [folders, tags or sensitive content]. Start with a dry run and show me a sample batch before saving a recurring schedule or importing anything. First verify the notes access, the app's documented import format or supported connection, and where the pipeline's state can persist. If direct app access is unavailable, produce an import-ready file and clear manual steps. A prepared file is not an imported deck; report each state accurately. For the first run, use [the last seven days or a chosen folder] rather than converting the entire archive. Keep a manifest of stable note identities where available, file hashes or versions, processed sections, source references and managed card IDs. Each night compare with the last successful run, process only relevant new or changed material and skip unchanged content. Handle renamed files without treating every note as new. Preserve failed or partially completed items for a safe retry, with a run log that shows what was read, generated, skipped and imported. Write one clear question per card with a concise answer, enough context to stand alone, a source link or filename and heading, and a topic tag. Prefer ideas I said I want to remember. Include a few application questions where the source supports them, not only isolated definitions. Flag ambiguous, contradictory or unsupported notes for review instead of inventing a confident answer. Exclude private personal details from examples. Deduplicate against both the existing deck and earlier generated cards, using stable IDs and a meaning check. Put new cards and changed-card proposals in a review batch. My import policy is [review every batch, or automatically add only new cards that meet the explicit rules we approve after the sample]. Verify the destination deck and exact scope before enabling writes. Updates to existing cards require review and must preserve their study history through a documented supported method; never delete cards, reset review progress, overwrite an entire deck or publish it. Source deletions become review items, not automatic card deletions. For an approved import, read back the resulting card IDs and counts when the connection supports it. Reconcile with the manifest before retrying so a timeout does not create duplicates. Leave unverified writes marked unresolved. If the app cannot provide a reliable update or readback path, keep the batch as a manual import for review. Finish with a short morning report: notes changed, cards proposed, cards actually imported, skipped ambiguities and one preview. Configure delivery only to [approved destination], and verify the saved schedule's status. If scheduling is unsupported, return the working conversion steps and a manual run checklist instead of promising overnight execution. ``` ## Illustrative example Five new notes, eight useful cards An illustrative morning batch draws eight cards from five changed learning notes, skips a duplicated definition, and sends one unclear explanation to the review queue. The report distinguishes cards awaiting approval from cards whose import was verified; unchanged notes are not processed again. This is not an observed result or a verified recommendation. ## From the community Suggested by the site founder and developed into an original prompt. This workflow has not been run-tested. ## Make it more you Limit the pipeline to one course or a single tagged folder. For coding notes, include a short predict-the-output or explain-the-bug question when the supplied example supports a clear answer. ## Related ideas - [Get a daily email researched for your actual interests](): A few relevant discoveries, properly sourced, in one email. Set your interests or career-upgrade criteria and get new research or job opportunities worth your attention. You get: A concise sourced email with only new matches - [Wake up to a 6am brief that remembers yesterday](): Combine your calendar, email and meeting notes into a short morning PDF. Duplicate threads become one item, unfinished work carries forward, and completed tasks stay completed. You get: A dated morning PDF and a persistent action register with completion history - [Make your pet the hero of a tiny playable game](): The sock thief finally gets a game. Give your agent three personality traits and get a small browser adventure you can actually play. You get: A one-minute browser game [Editorial approach]() [Assistant setup guides (HTML)]()