One of the most common questions I get is: "How do you run Facebook pages in languages you don't speak?" The short answer is AI. The longer answer is a system I spent months building — and it works better than you'd think.

The Idea

Most people who run Facebook pages stick to one language — their own. That makes sense. You write what you know, in the language you think in.

But I realized something: content niches aren't limited by language. A horoscope page works in any language. A motivational quotes page works everywhere. Dream interpretation? Universal. The audience exists — it's just in a different language.

So instead of competing in one overcrowded market, I decided to expand horizontally. Same content concepts, different languages, different countries.

How the System Works

The backbone of this operation is Loom, the workflow platform I built. Here's what happens when I want to launch a page in a new language:

  1. Pick a proven concept. I start with a page that's already working well in one language. The content formula is validated — the niche, the tone, the format.
  2. Duplicate the workflow. Loom lets me clone an entire content pipeline — from idea generation to posting — in a few clicks.
  3. Translate the AI prompts. This is the key. I don't translate the content itself. I translate the instructions that tell the AI what kind of content to create. The AI then generates native-quality content in the target language.
  4. Set up a new data table. Each page gets its own content tracking table so the system never repeats itself.
  5. Configure the schedule. I use a scheduling system that finds conflict-free posting windows optimized for each market's peak hours.
  6. Activate and monitor. Once everything is wired up, the page runs itself. I check in periodically, but the system handles the daily work.

The AI Does the Heavy Lifting

The real magic is in how the AI handles language. Modern language models don't just translate — they think in the target language. When I tell the AI to write a horoscope prediction in a specific language, it doesn't write it in English and translate. It generates the content natively, with the right idioms, cultural references, and tone.

This is important because audiences can tell when content is translated versus when it's written naturally. The AI gives me natural.

What I Learned

A few things surprised me along the way:

  • Different markets respond to different posting times. What works at 9 AM in one country bombs in another. The scheduling system in Loom handles this automatically.
  • Some niches translate better than others. Spiritual and motivational content works almost universally. Highly culture-specific topics don't.
  • You still need to quality-check. AI is good, but not perfect. I use Tim, my AI agent, to monitor output and flag anything that looks off. Part of what makes Tim effective is that he reviews and upgrades himself at the start of every session.
  • Engagement patterns differ by market. Some audiences love commenting. Others just share silently. You have to adapt your strategy.

The Result

Today, I run pages across multiple countries and languages. Each page has its own automated pipeline. New content gets generated, turned into videos or images, and posted on schedule — every single day — without me touching it.

The system isn't perfect. I'm constantly tweaking prompts, adjusting schedules, and improving the workflows. But the foundation works, and it scales. That's the whole point. A recent milestone: scaling five Vietnamese pages to full automation — adding image workflows and launching ad campaigns across all of them.

If you want to understand the engine behind all of this, read about how the content machine works. And if you're curious about why I built these tools instead of using existing ones, I wrote about that too.

Managing pages across Thai, Vietnamese, English, and other languages is honestly the kind of thing that would require a small team if I did it manually. With Jarvis, you can run the same kind of multilingual operation — the agent handles translations, localized content, and per-language scheduling on your own server.

— Pond