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Turn my subscriber surveys into personal year-long reading plans

Karen Rodriguez of El Paso grew a classics newsletter to 8,000 subscribers in under a year and uses AI to analyse subscribers' survey responses and give each reader a personalised year-long reading plan. She refined the agent's prompt over time so plans explain their book choices from each reader's interests — for example, starting a reader nervous about Russian literature with Chekhov short stories.

How it works

  1. Collect subscriber survey responses
  2. Analyse each reader's interests and concerns
  3. Generate a personalised year-long reading plan per reader
  4. Explain each plan's book choices from that reader's stated interests

Why it’s worth knowing

One creator gives 8,000 subscribers individual year-long plans, each explained from their own answers.

Where it’s from

Summarized from a public post on cdn.openai.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be
2The prompt, with the steps
3The check when it’s done
Upgraded prompts are coming soon.

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