1. Prepare the source
Collect raw text you already have with dates and amounts. Remove private details.
index-card recipe box · free workflow
Stop manually copying definitions. Use this structured prompt to force free LLMs into outputting strict, error-free active recall cards formatted directly for Anki import.
forces strict pipe-delimited schema output from free LLMs to guarantee zero-error Anki CSV/TSV imports The result is a small object you can inspect: it carries a count, a context row, and a next action instead of asking you to trust a paragraph.
Collect raw text you already have with dates and amounts. Remove private details.
Prompt the free tool to return only JSON with this shape: {"heading":"...","metric":"...","rows":[{"label":"...","detail":"...","value":"..."}],"next":"..."}. Require "not found" when missing.
Paste same lines into board below. Companion runs locally and shows designed result without calling API.
Load a sample, replace it with your own notes, and inspect the generated object. Sample values are illustrative, not verified facts.
Loading the sample object…
Require one row per source line and check count before trusting total.
Keep evidence phrase and source-grounding request. "Not found" is useful.
Treat as routing signal, not prediction.
The free board is complete on purpose. The companion app adds a tangible file, history, or handoff only after the result is useful: native .apkg binary deck export with SM-2 scheduling metadata vs basic CSV export
open the index-card recipe box companion