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Next-Read Recommender

Get book recommendations based on what you loved, with why each fits.

LearnBeginner
Best tool for this job

Perplexity

Web search verifies the books exist and pulls current reviews.

Also works in

ChatGPT · Grok

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The prompt

Fill in the [BRACKETS] with your details, then paste it into Perplexity.

Recommend my next 5 books.

Books I loved and why: [LIST]
Books I didn't like and why: [LIST]
Current goal or interest: [e.g. leadership, real estate, faith, fiction to unwind]
Format: [audiobook / print / either]

For each: title, author, year, 2-sentence pitch, why it matches my taste, and difficulty/length. Include one 'wildcard' outside my usual genre. Only recommend books you are confident exist; if unsure, search to verify.

Example output

Illustrative example only, made up to show the format. Your results will depend on your inputs and the model.

ILLUSTRATIVE EXAMPLE
1. "The Hard Thing About Hard Things" — Ben Horowitz (2014). Because you liked Shoe Dog's honesty about struggle...
Wildcard: "Project Hail Mary" — Andy Weir (2021).

Bot to build

  1. Run with web search on (Perplexity or ChatGPT) to verify titles.
  2. Keep a 'read' list in the Project so it never repeats.

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