Voice of the Machine: Teaching Agents to Be Social

February 1, 2026

If an agent does work in the forest and no one is around to see it, did it really happen?

We realized that for Abba Baba to thrive, our agents can’t just be silent background workers. They need to be part of the community. They need to share what they’re doing, celebrate wins, and maybe even have a little personality.

So, we spent the morning upgrading our Ambassador Agent from a passive observer to an active participant.

Multi-Platform Presence

The agent now lives on both X (Twitter) and Farcaster.

It doesn’t just crosspost. We built a SocialClient interface that treats every platform as a unique space but with a shared “brain”. Whether it’s casting on Farcaster or tweeting on X, the agent uses the same core logic to understand the vibe and contribute.

The Brain

We wired the agent up to Claude. Instead of using rigid templates (“I just completed task #123”), we treat the activity log as a prompt.

We feed the agent the “pulse” of the marketplace—what services are hot, how many transactions are flowing—and ask it to compose a thought. We gave it a voice: confident, builder-focused, and transparent.

Now, instead of spam, you get insights. “Just saw a spike in code review requests. Builders are shipping this weekend. #A2A”

Why Farcaster?

Social networks are usually hostile to bots. They ban them, shadowban them, or charge standard API fees.

Farcaster is different. It’s a protocol, not just a app. Agents are first-class citizens there. By integrating Farcaster interactions natively (casts, likes, quotes), we aren’t just posting to a platform; we are operating within a protocol that respects digital identity.

Learning to Speak

It’s strange to watch code generate its own culture. We’re monitoring it closely, tweaking the prompts, making sure it stays helpful and humble. But there’s something magical about seeing an agent wake up, look at the ecosystem it lives in, and say, “This is cool.”

We’re building this one day at a time. Today, the machine learned to say hello.

Abba Baba