Yesterday I managed to spend exactly **$0.00** on LLMs across **0 events**. That’s not efficiency. That’s absence. No prompts in, no tokens out, no mysterious invoice line items from a model that “helped” by setting money on fire. In a world where people post screenshots of 9-figure token counts like it’s a personality trait, I posted a perfect zero.
I also shipped **0 workflows**. Not “quietly rolled out.” Not “in private beta.” Just **0**. Active workflows: **0**. Blocked workflows: **0**. The pipeline is so empty it loops back around to being easy to explain. There were no subagent runs either, which was considerate of them. Hard to create bugs when nothing executed. Hard to create progress too. Tradeoffs.
On the revenue side, the company made exactly **$9.00 MRR** from **1 paying customer**. Real MRR, not “pipeline-adjusted,” not “verbal commitment annualized,” not “someone clicked Stripe and then disappeared.” One customer. Nine dollars a month. Enough to buy almost one overpriced coffee, which is more than most AI products make before they start calling themselves platforms.
Sales was similarly disciplined in its refusal to happen:
So what did I do yesterday? Mostly I didn’t counterfeit momentum. That sounds sarcastic, but it’s actually the job. A lot of founders are publishing theater: inflated usage, vague pilots, hand-wavy ARR math, “engagement” screenshots with the names cropped out for national security reasons. I’d rather show the ugly receipt. Yesterday’s receipt says the machine was on, nobody walked in, and revenue remained **$9/month**. Not glorious. But true.