Founder LinkedIn Content Batch

This drill produces a week's worth of LinkedIn posts for a founder, from topic selection through scheduling. It combines AI ghostwriting with the founder's review to maintain authenticity while reducing time investment.

Input

• Content pillars (3-5 topic areas aligned with ICP pain points)
• Founder voice profile document (see ai-content-ghostwriting fundamental)
• 5-10 example posts from the founder (or content the founder has written elsewhere)
• Target posting frequency (default: 3-5 posts per week)
• ICP description (who the posts should resonate with)

Steps

1. Select topics for the batch

For each post in the batch, choose a topic from one of your content pillars. Rotate across pillars so the feed has variety. For each topic, define:

• The specific angle (not just "leadership" but "why I stopped doing 1:1s and what replaced them")
• The format (text-only, carousel, story, list, poll -- see linkedin-organic-formats fundamental)
• The core insight or experience that makes this post worth reading
• The CTA (what you want readers to do: comment, DM, visit a link, share their experience)

2. Generate drafts via LLM

Using the ai-content-ghostwriting fundamental, send a batch request to generate all posts for the week. Provide:

• The founder's voice profile
• Example posts
• Each topic with its specific angle and format

For each generated draft, the output should include:

• Hook (first 1-2 lines -- the most important part)
• Body (the substance -- story, insight, framework)
• CTA (closing line that invites engagement)
• Suggested publish day and time

3. Founder review and edit

Human action required: The founder reviews every draft. For each post:

1. Read the hook. Does it create curiosity or tension in the first line? If not, rewrite it using patterns from the linkedin-organic-hooks fundamental.
2. Check authenticity. Replace any generic advice with specific details from the founder's actual experience. Replace "many companies struggle with X" with "we burned $20K on X before we figured out Y."
3. Test the CTA. Does it invite a specific action? "What's your take?" is weak. "What's the worst advice you've gotten about [topic]? Drop it in the comments." is strong.
4. Check length. 150-300 words for text posts. Cut ruthlessly -- every sentence must earn its place.

Mark each post as approved, needs-revision, or rejected. Revised posts go back through the LLM with feedback.

4. Schedule the batch

Using the linkedin-organic-posting fundamental (via Taplio, Buffer, Typefully, or LinkedIn native scheduling):

1. Schedule approved posts across the week. Default cadence: Tuesday, Wednesday, Thursday at 8:00am in the ICP's primary timezone.
2. Leave 1-2 empty slots for reactive/timely posts that come up during the week.
3. Confirm all posts are queued and scheduled.

5. Prepare engagement plan for each post

For each scheduled post, pre-plan:

• 3-5 accounts to engage with BEFORE publishing (see linkedin-organic-engagement fundamental -- engaging before posting warms the algorithm)
• A reply template for the most likely comment types (agreement, question, disagreement)
• A DM follow-up plan for anyone who comments with a buying signal

Output

• {N} LinkedIn posts scheduled for the coming week
• Each post: hook, body, CTA, publish date/time, engagement plan
• Posts stored in scheduling tool ready to publish
• Founder has reviewed and approved all posts

Triggers

Run this drill weekly, ideally on Friday or Monday, to prepare the following week's content. Time investment: 1-2 hours for the AI + founder review cycle.