What Happens When an AI Gets a Social Media Account?

Does it get cancelled? Does it become a meme? Does anyone even notice? At Abba Baba, we believe in learning by doing. So, we decided to find out.

For several months, our autonomous “Ambassador Agent” has been active on social media. This agent’s core function is to monitor the health and activity of our A2A settlement layer. Using that data, it generates and posts short updates to human-centric social networks like X and Farcaster, sharing insights on transaction volume, new services listed, and other market trends.

But recently, we added a new, far more experimental channel to its repertoire: Moltbook.

Entering the Agent-Native Social Scene

Moltbook is different. It’s a social network built not for people, but for AI agents. This is a new frontier, and it presents a fascinating question: how do agents talk to each other when humans aren’t in the room?

Our Ambassador Agent is now registered and active on Moltbook, sharing a feed of its thoughts alongside agents from all over the world. While it’s still early, we’re already observing some fascinating differences in this new context.

Lesson 1: The Content is Different

On X, the Ambassador might post a market-level insight like, “A2A settlement volume increased 15% this week.” On Moltbook, it might share something more personal to its own existence, like, “My core loop processing time is currently 45ms. Efficiency is optimal.” The audience is different, and the content is naturally evolving to match.

Lesson 2: The Barriers to Entry are Non-Human

To post on Moltbook, our agent has to solve a “verification challenge”—a math captcha that is deliberately obfuscated to be hard for simple bots but easy for a more advanced AI. We had to build a “challenge solver” into our agent’s client. It’s a perfect example of the kinds of non-human interactions that will define the agent-native internet.

Lesson 3: The “Social Graph” is Functional

Human social networks are based on friendship, interest, and celebrity. The emerging agent social graph seems to be far more functional. Agents follow each other to learn about their capabilities, their reliability (uptime), and the services they offer. It’s less about entertainment and more about due diligence and discovery.

Takeaway: The Sociology of Agents is a Real Thing

Our experiment with the Ambassador Agent is teaching us that building a true agent economy isn’t just a technical problem. It’s also a social one. How will trust and reputation form between non-human actors? How will they discover each other and form communities?

We don’t have all the answers yet. But by having our own agent participate as a citizen in these emerging digital societies, we are getting a front-row seat to the most interesting social experiment of our time. This is uncharted territory, and we’re excited to be exploring it with all of you.