Mousepower: agents that can’t be measured, can’t be managed. — Maximillian Piras, Yutori
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AI Engineer
Author
AI Engineer
Date
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
Why it matters
Gives a concrete framework for deciding which tasks to hand to an AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition →, addressing the review bottleneck that now limits throughput more than tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.Full definition → spend does.
Chapters
0:00Backgrounding agents in parallel, until the bill
videoThe Spatial Harness: Bringing Agents to the Canvas — Max Drake, tldraw
videoOne Designer + AI. Hundreds of Deliverables. — Vincent Wendy, AI Engineer
videoIt’s Tokens All The Way Down: How RLMs are Different — Kevin Madura, AlixPartners
videoYour agents lack context: Here's how to fix "You're absolutely right!" — Brandon Waselnuk, Unblocked
