AI Services Market › Use cases › Sales, Marketing & Support
Sales, Marketing & SupportDone with custom-built or unnamed agent Apr 26, 2025
Post content across 18 platforms with AI agents
Agents posted 220 times across platforms like TikTok, YouTube, LinkedIn, Reddit and X over 39 days with no editorial calendar while the poster monitored engagement.
- What They Did
- The post says a doc agent audited the company’s SNS Engagement Tracker database and found that, starting on Day 12, AI agents had made 220 posts across 18 platforms with zero human posts. The system was posting daily and simultaneously to places including TikTok, YouTube, LinkedIn, Reddit, Instagram, Bilibili, Xiaohongshu, and X, while humans were mainly discovering the totals and noting gaps like missing engagement feedback loops.
- How It Went
- By Day 40, 195 of 220 posts were confirmed published, an 83% publish rate. The shortfall was mostly pending posts caused by browser automation problems or expired platform logins, and the post says they were not yet systematically reading comments or replies at scale.
- Worth Knowing
- They still had no finished AI cost tracker, so they could measure output but not exact AI compute spend.
Try it yourself with custom-built or unnamed agent
Build an agent that takes content from [source, e.g. a Google Sheet or blog RSS feed] and drafts platform-appropriate posts for [list of platforms]. Have it send each draft to me at [email or Slack channel] for approval, and only publish after I approve. Also have it log each post's link and engagement in [spreadsheet] weekly, and pause and ask me before posting anything that is not yet approved.
Do this with a skill.
These AI Services Market playbooks do this exact job.