Turn text into structured findings

1. PL-10

   Extract fields from text into a table, marking what is missing

   Pulls the fields you name out of emails, forms or notes into one table, and writes missing instead of guessing a value.

   Analyse · Practitioner · 3 placeholders

   Works with:

   • ChatGeneral chat assistant, good fit
   • APIModel API, good fit
   • LocalSmall local model, good fit

   Save Extract fields from text into a table, marking what is missing
2. PL-11

   Group open-ended feedback into themes with counts and quotes

   Sorts survey comments or reviews into themes, counts how many responses mention each, and quotes real examples so the themes can be checked.

   Analyse · Practitioner · 4 placeholders

   Works with:

   • ChatGeneral chat assistant, good fit
   • ReasoningReasoning model, good fit
   • LocalSmall local model, workable with limits

   Save Group open-ended feedback into themes with counts and quotes

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