A sustainable posting habit, not a content farm
Thirty minutes a week turns your actual work experiences into 2-3 posts that sound like you.
The problem
You know visibility matters for your career or business, but posting feels like a second job and the blank page wins.
What you get
A working system with the steps, tools, checkpoints, and expected return made explicit.
- Setup
- 60 minutes
- Back each week
- 2 hours
- Difficulty
- assisted
Expected return
The working case
A planning estimate, not a guaranteed result. Measure the first four weeks against your own baseline.
96
hours returned per year
At 2 hours/week across 48 working weeks.
1
week to earn back setup
Compare the setup estimate with the weekly time returned.
Operating contract
Input
The source material, constraints, and examples a human would need to do this work well.
Checkpoint
A person reviews judgment calls, sensitive content, unfamiliar tools, and irreversible actions.
Success signal
Track time returned, corrections required, and exceptions. Keep it only if the measured result compounds.
Before you start
- ·Three examples of your own writing
The steps
- 01
Keep a running note of moments: a problem solved, a mistake, a client question, a strong opinion. One line each, captured when they happen.
- 02
Weekly: turn the note into drafts, with your voice calibrated once and reused.
Copy this prompt
Here are 3 posts I wrote that sound like me: [paste]. Here are this week’s moments: [paste one-liners]. Draft 3 LinkedIn posts from the strongest moments, in my voice: same sentence length, same directness, no hashtag spam, no "I’m humbled". Each post: hook line, story, one takeaway, soft question at the end.
- 03
Edit each draft for 3 minutes (cut the middle, sharpen the hook), schedule for the week, done.
What it runs on
Where this goes wrong
- Generic AI posts are worse than not posting; the moments-note is the ingredient that keeps it real.
- Do not let it invent anecdotes; only expand things that happened.
Definition of done
Run it for four weeks. Then make it earn its place.
- □ Baseline the manual time before launch.
- □ Keep a human approval step for consequential output.
- □ Record corrections and exceptions, not just successes.
- □ Expand, revise, or retire it after the first review.
Build the system around it
Related workflows
If this one stops working, tell us. Three reports in a month and it leaves the library until a person has looked at it again.