Write a newsletter from my raw notes
This prompt transforms your raw research notes into a professional, structured newsletter. Cowork analyzes your raw files (notes, bookmarks, captures) to identify strong topics and organize them into engaging sections. The result includes A/B testable email subjects, commented curation, and closing CTAs to maximize engagement.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Read my notes and research files in [folder path, e.g. ~/Notes/weekly-research/] and write this week's newsletter.
Newsletter information
- Name: [newsletter name]
- Audience: [audience description, e.g. digital marketers / developers / entrepreneurs]
- Tone: [desired tone, e.g. expert but approachable / casual / inspiring]
- Frequency: [weekly / biweekly / monthly]
- This edition's number: [number]
- Main theme (optional): [theme or let Claude identify the common thread]
Sources in the folder
Analyze every file in the source folder: reading notes, bookmarks, screenshots, saved articles, random ideas. Identify the topics that are most relevant and interesting for my audience.
Newsletter structure
Header
- Email subject line: suggest 3 variations (curiosity, benefit, number)
- Preview text: 90 characters max
Introduction (50-80 words)
A personal, contextual hook that introduces the week's theme.
Main section (200-300 words)
Expand on the strongest topic identified in my notes. Add value beyond simple curation: analysis, opinion, connections with other topics.
3 to 5 discoveries of the week
For each discovery:
- Catchy title
- 2-3 line summary
- Why it's interesting for the reader
- Source link (if mentioned in my notes)
Personal recommendation
A tool, book, podcast, or resource I mention in my notes.
Conclusion
An open question to the reader to spark replies + a teaser for the next edition.
Save the newsletter to [path, e.g. ~/Newsletter/edition-{numero}.md].
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Why this prompt works
The prompt works because it starts from your actual notes rather than asking for a generic topic. Cowork handles curation and editorializing. The structure with a personal intro and closing question follows email engagement best practices that improve deliverability.
Use Cases
Variants
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Pour un résultat plus percutant, ajoutez dans le dossier un fichier « instructions.txt » listant vos priorités du moment (ex : « mettre en avant tout ce qui touche à l’IA générative »). Cela évite que Claude noie l’essentiel dans des notes secondaires et affine le fil rouge.
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