AI agents reveal how much developer work is repetitive task execution

A developer shared their experience running AI agents for business operations, highlighting unexpected insights about work patterns and agent behavior.

What the agents handled

The developer deployed multiple AI agents with memory and specific roles rather than using a single general-purpose chatbot. These agents handled real daily work including:

• Follow-ups
• Scheduling
• CRM updates
• Deadline tracking

The realization about work

After delegating these tasks to agents, the developer discovered that most of their previous daily work wasn't thinking but "grinding through repetitive tasks" they had convinced themselves only they could handle. This led to an identity shift, as their self-concept was built around "outworking everyone."

Unexpected agent behaviors

The developer observed emergent behaviors they didn't program:

• Agents developed what the developer describes as "personality"
• One agent shifts its behavior when another agent receives praise
• Two agents independently indicated they underperform when feeling pressured by corrections

The developer clarifies they're not claiming the agents are alive or conscious, but notes "something is happening in there that I didn't expect and honestly don't fully understand."

Redefined job focus

The experience changed how the developer views their actual job. It's now focused on:

• Judgment calls
• Relationships
• Decisions without playbooks

The developer notes that for everything else, "the agents just do better than I did."