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Turn one voice note into a week of content that still sounds like you

The content workflow I recommend to busy founders and partners: talk for 20 minutes, get a week of posts in your own voice, and approve them in 15.

Pratyush Agarwal · 3 min read

Most founders I know have plenty to say. They just don't have three hours a week to turn it into LinkedIn posts, a newsletter and something for Instagram. So the account goes quiet for a month, then gets one rushed post.

The fix that works best isn't a better prompt. It's starting from your own words.

The workflow

  1. 1Talk for 20 minutes
  2. 2Transcript and key ideas pulled out
  3. 3Drafts for LinkedIn, newsletter and Instagram
  4. 4You edit and approve
  5. 5Scheduled across the week

Why a voice note beats a prompt

Ask AI to "write a LinkedIn post about customer retention" and you get the same post as everyone else. Talk for two minutes about the client who almost left last month and what you changed, and you have something only you could have written. The AI's job is structure and editing, not inventing opinions.

Teaching it your voice

Give it 20 or 30 of your past posts or emails that you're proud of. It learns your sentence length, the words you use, the words you never use, and how you open and close. Then every draft gets checked against that before you see it.

What you get from one note

Approval is the important bit

Nothing goes out without you seeing it. In practice that's 15 minutes once a week: read, tweak a line or two, approve. If a draft doesn't sound like you, you say why, and the next batch is better.

Questions people ask me

Does it work for a whole team?

Yes. Each partner or team member gets their own voice profile and approval queue.

Can it make videos too?

It can write scripts and captions, and edit clips you've already recorded. Fully AI-generated video is possible, but I'd only recommend it for some brands.

See our social media content and AI copywriting services.

Pratyush Agarwal
Pratyush Agarwal

Founder of Overtake. I was a founding engineer at four startups, two of them in Y Combinator. I write about the AI systems I build for small businesses: what works, what doesn't, and how to start.

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