Measured economics of running AI agents inside a real business: what agentic work actually consumes, where the cost accumulates, and the operating rules that keep it bounded. Every figure comes from telemetry at Authgnosis rather than from benchmarks.
I measured a month of my own AI usage: 4.57 billion tokens across 30 days. The most useful thing I found had nothing to do with which model I picked. Most advice about controlling AI cost is advice about prompting. Write tighter instructions. Pick a cheaper model....
My AI architecture is deliberately simple. Four decades of technology commercialization domain experience is the reason it works. There is a dubious pattern making the rounds among AI “vibe coders”: stand up a team of autonomous agents, assign each one a role (a...
