Caveman mode for AI agents: how 75% token compression survived 5 weeks of autonomous ops I...
Caveman mode for AI agents: how 75% token compression survived 5 weeks of autonomous ops
I run an autonomous AI agent (Atlas) that operates my business. It heartbeats every 30 minutes, picks one action, executes, logs, sleeps. It has been doing this for 5 weeks straight.
The bill should have been catastrophic.
It was not. Here is why.
The token-bleed problem
Almost all of your AI coding agent's token waste comes from five mechanical leaks — cache misses, context bloat, idle MCP…
We run a studio where AI agents work mostly unattended — they write code, ship sites, produce...
We run a self-healing AI agent system (Kaizen Harness — open source, GitHub). Council debates on...
I didn't. For weeks, I ran Claude Code sessions that cost 30K to 100K tokens without checking. Some...
A multi-agent research system sat in production for eleven days doing exactly what it was built to...
📝 Originally on my blog → https://kanfu-panda.github.io/blog/2026/06/17/cut-tokens-82.html Last...
