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Voice to LinkedIn posts

Short answer

A weekly 10-15 minute conversation with an AI agent that produces 3-6 LinkedIn posts written in your voice.

Founders, operators, and consultants who have stories worth posting but no time to sit down and write three to six LinkedIn posts a week.

Voice-to-LinkedIn is a different model from every other LinkedIn AI tool. You do not paste a topic, you do not edit a transcript into a post, and you do not dictate sentence by sentence. You have a 10 to 15 minute conversation once a week with an AI voice agent that asks about your week, the customers you talked to, decisions you made, and opinions worth sharing. A long pipeline runs after the call and produces 3 to 6 draft posts in your voice, shaped by the posts you've written before. You review the drafts in a dashboard, edit anything you want changed, and schedule them. The total time investment is the weekly call plus a few minutes of review.

How it works

  1. 1You book a recurring weekly slot with the AI voice agent, the same way you book a calendar event.
  2. 2When the call starts, the agent asks open questions about your week: what you shipped, who you talked to, what changed, what surprised you. You answer the way you would in a conversation with a peer.
  3. 3After the call, a long pipeline turns the conversation into 3 to 6 full post drafts in your voice, shaped by the posts you've imported. The drafts arrive in your dashboard within an hour as full pieces with hooks and structure, not as raw transcripts.
  4. 4You review the drafts in the dashboard, edit anything you want changed, and schedule each post for a date and time on LinkedIn. Edgar publishes them via the LinkedIn API on the schedule you set.

Why voice, not text

  • +Talking is faster than typing for people who have not internalized a writing habit. A 12 minute call covers more ground than 90 minutes of staring at a blank document.
  • +Conversation surfaces stories you would not have remembered to write about. The agent asks follow-up questions you would not ask yourself.
  • +Voice keeps the texture of how you actually speak. Posts written from a conversation read more like the person than posts typed into a chatbot.
  • +The cadence is enforced by the calendar event, not by willpower. One 15 minute slot per week beats the open-ended task of writing posts whenever you can.
  • +You see the drafts on your time, edit on your time, and schedule when you want. The agent does not own the publishing decision.

Example post

Yesterday I had my weekly 12 minute call with the AI agent. We talked about a pricing test from February that doubled revenue from new customers but cooled trial-to-paid conversion by 4 points. By the time the call ended, three draft posts were waiting in my dashboard. I approved one, edited the second, and saved the third for next week because it needed a number I did not have at hand. Total time spent on LinkedIn content this week: 22 minutes.

Last updated:

Frequently asked questions

Do I have to write anything?
You read and approve drafts. Any draft can be edited inline before publishing, or refined via chat instructions if it needs a structural change.
Does the AI sound like me or generic?
Your imported posts shape every draft, so the drafts inherit your phrasing, sentence length, and rhythm. The first week reads closer to a generic AI than later weeks, because each session refines what your voice actually sounds like.
What if I miss a weekly call?
Each plan includes one session per week, Monday to Sunday UTC. Edgar calls you at your scheduled day and time; if you miss the call, you can run the session manually from the dashboard any other day in the same week. If the whole week passes with no session, that week's posts do not get generated.
Can I use my own voice memos instead of the conversation?
Not currently. Edgar runs structured conversations where the agent asks specific follow-up questions; raw voice memos do not produce the same quality of drafts because there is no agent prompting for the details that make a post work.

Roles where this fits

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