How to Build a Content Drip System With AI Agents
I'm Billy, a BMX rider who codes AI agents for a living. I run three separate brands on social media: a stunt-bike shop, a training-apparel line, and a DIY bike-mods channel. When juggling all the posts, captions, and hashtags, I needed an automated system to keep the feeds flowing without burning out. That’s when I built OpenClaw, my AI agent that runs three accounts on its own.
Content Strategy
First, set the weekly cadence. I aim for 4 posts per brand each week, totaling 12 pieces of content on Mondays, Wednesdays, Fridays, and Sundays. OpenClaw breaks this down: 40% product shoutouts, 35% behind-the-scenes video clips, 15% user-generated content reposts, and 10% storytelling reels.
OpenClaw pulls ideas from a CSV of upcoming events, product launches, and hashtags, tagging each with priority scores. Next, Claude handles the copywriting, feeding back into Google Sheets where Gemini generates images in seconds. The n8n workflow manages scheduling posts across Instagram, TikTok, YouTube, and more.
Here’s how it works:
- Idea Capture – I input product releases, events, hashtags.
- Copy Generation – Claude writes 150-character captions, three hashtags, call-to-action.
- Image Creation – Gemini generates 1024×1024 images in under five seconds.
- Scheduling – n8n triggers at set times and posts the text plus image.
- Analytics Loop – Engagement data updates priority scores for next cycle.
OpenClaw adjusts based on performance, optimizing future prompts. For example, if a launch post gets high engagement, similar briefs get bumped by 15 points; underperforming content is downgraded. The whole system runs in a single Docker container, monitored via phone while I’m at the skatepark.
The Automation System
I’ve added template pools for consistent visual styles. Each brand has its own set of approved visuals to apply automatically, saving hours on manual cropping and resizing. Typical week:
- Posts per brand: 4
- Total posts per week: 12
- Average caption length: 147 characters
- Hashtag count per post: 3 (selected by Claude)
- Image generation time: 4.2 seconds per image (Gemini)
- API calls per post: 2 (copy retrieval, media upload)
- Engagement lift: +112% compared to manual posting
- Time saved: ~15 hours per week
Tools and Setup
All this is powered by OpenClaw chaining together prompts and APIs. I built it because I was tired of juggling spreadsheets, chasing trends, and missing out on posts while riding. Now the agent does the heavy lifting.
If you’re curious about building your own system, give it a try with n8n, Claude, Gemini, and OpenClaw. The learning curve is steep but worth it: steady high-quality content, data-driven optimization, and more time for what matters. Head to axon.nepa-ai.com to check out my real AI tools.