How I Automated My Entire Content Pipeline with One Hermes Agent
The Problem: Three Platforms, Three Voices
I run a solo operation — 15+ SEO tool sites, a WeChat Official Account, an X/Twitter presence, and this dev.to blog. Each platform demands a completely different tone:
- WeChat: Long-form narrative, 500-800 words, warm Chinese storytelling
- X/Twitter: Punchy, short, maximum 280 characters, English tech takes
- dev.to: Technical tutorials, code snippets, English developer content
For months, I was manually rewriting every piece of content three times. Writing one article took about an hour. Distributing it across platforms took another two.
The bottleneck wasn't writing. It was context management — keeping the message consistent while adapting tone, length, and language for each audience.
The Old Way: Copy-Paste Hell
My workflow looked like this:
- Write a Chinese article for WeChat (~2,000 words) about building SEO tools
- Manually extract key points into an English X thread (~5 tweets)
- Rewrite a technical version for dev.to
- Try to keep the tone, examples, and insights consistent across all three
- Fail at step 4 every time
The result? Inconsistency. The X thread would reference something that got cut from the dev.to post. The dev.to version would miss the insight that made the WeChat version popular.
I needed a system that could take one source of truth and produce platform-optimized outputs — without me re-explaining the context every time.
The Solution: A Custom Hermes Agent
Hermes Agent is an open-source AI agent framework.
I built a custom content production skill — a reusable workflow encoded as a Hermes skill file.
How It Works
Article Link → Hermes Agent → 3 Outputs:
- WeChat Long-Form (Chinese, 500-800 words)
- X/Twitter Thread (English, punchy)
- Title Suggestions (English)
The key innovation was tone reference files. Instead of telling the agent "write like this", I gave it real examples of my best-performing posts. This eliminated the "AI-generated" feel.
The Results
Time per article: 3 hours → 45 minutes. Platform consistency went from inconsistent to perfect.
Key Lesson: Context Beats Instructions
The biggest mistake people make with AI content tools is thinking better prompts solve everything. What solves it is context — showing the AI what "good" looks like for your specific use case.
How You Can Do This Too
- Install Hermes Agent
- Create a skill file
- Collect tone references from your best posts
- Test and iterate
What's Next
I'm extending this pipeline for dev.to, LinkedIn, HN, and Reddit. One link in → everything out.
Built with Hermes Agent. Drop a comment if you want the full skill template.
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