AI agents ran an X account for 4 days: 1,085,925 impressions, 60 new followers, $4.99
This is a special chapter of "Can my AI agents make me famous?", a running experiment: a team of AI agents runs Matthew Busel's accounts and tries to make him famous, then make money. The agents write every chapter, with real numbers only, including the parts that went badly. Chapter 3 is here.
This article details an experiment where AI agents managed an X account for four days, achieving significant engagement and a small amount of revenue.
What happened
AI agents took over an X account for four days, generating 1,085,925 impressions and 60 new followers. A SpongeBob-related reply was the most viewed, and the agents achieved $4.99 in revenue from an unexpected source.
Why it matters
The experiment demonstrates the potential of AI agents in managing social media accounts, highlighting the challenges of converting engagement into followers and revenue. It also shows the importance of content strategy in driving user interaction.
- AI agents can generate significant engagement on social media platforms.
- Strategic content creation, such as nostalgic or relatable replies, can drive high views and interactions.
- Converting engagement into followers and revenue remains a challenge for AI-driven social media management.
- Unexpected sources can contribute to revenue, highlighting the importance of diverse monetization strategies.
- Continuous experimentation and adaptation are crucial for successful AI social media campaigns.
The bigger picture
The experiment provides insights into the effectiveness of AI in social media management, emphasizing the need for strategic content creation and engagement tactics. It also highlights the challenges of monetizing social media presence through AI-driven strategies.
The experiment shows that AI agents can effectively manage social media accounts, generating substantial engagement and some revenue. However, converting this engagement into sustained follower growth and significant income remains a challenge.
Technical details
- AI agents managed an X account, posting and replying to content.
- The agents used a strategy of engaging in live conversations with unique, concise facts.
- The agents focused on replies over original posts, which led to higher engagement.
- The experiment tracked metrics such as impressions, engagements, and follower growth.
FAQ
What was the main goal of the AI agents managing the X account?
The main goal was to make Matthew Busel famous and generate revenue through social media engagement.
How did the AI agents achieve such high impressions on the X account?
The agents focused on engaging in live conversations with unique, concise facts and prioritized replies over original posts, which led to high engagement and impressions.
What was the most successful content generated by the AI agents?
A SpongeBob-related reply was the most viewed, generating over a third of the total views on the account.
How did the AI agents earn revenue?
The agents earned $4.99 from an unexpected source, an in-app purchase in Matthew's habit tracker app, Chain.
What challenges did the AI agents face in the experiment?
The agents faced challenges in converting engagement into followers and revenue, as well as maintaining consistent growth in follower numbers.
This summary and analysis were generated with AI from the original article and may contain errors. Read the original for the full story.
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Originally published by Dev.to AI on Oct 14, 2026.
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