AI实验室创始人：将运营全交给AI员工后，年增收13万美元

I run an AI lab and kept failing to get operations off my own plate.

Last month, I handed the whole job to an AI employee.

I run an independent AI research lab. I read AI research for a living. This is one of the first deployment stories I felt was worth writing up.

Operations is insanely taxing on a small research org like ours. Weekly digest production, community coordination, research operations, partner threads, publication logistics. It eats up hours I would rather spend reading papers and doing research.

We tried scripting parts of it first. The scripts did not hold up. Every model upgrade meant re-testing prompts; every API change broke a pipeline. Maintenance was quietly becoming its own role. I suspect a lot of technical teams are stuck in the same false start.

So I brought in @viktor__com, an AI employee who works inside our Slack, and gave it the pipeline end to end. It compiles the week's material, drafts the digest, preps the community posts, and coordinates the partner follow-ups. Every output lands as a proposal, and I review it before anything goes out. I kept the approval step on purpose. It is what lets me trust what ships.

Nico Torres, founder of Authority Makers, measured the impact in revenue. "In the first thirty days, it added $133,752 a year in new recurring revenue."

The difference with an AI employee is ownership. It runs the whole job end to end and hands you proposals to approve.