How to Stop AI Agent Cost Blowups Before They Happen
You deploy a four-agent pipeline that should cost about $0.80 per run. By end of day it has burned through $47 on a single stuck researcher loop. Sound familiar? If you're running AI agents in production, cost blowups are not a question of if but when. 57% of organizations already have agents in production, yet 90% of agent projects fail within 30 days — and runaway LLM costs are the number one pain point. The core problem: agents make autonomous decisions about how many LLM calls to issue. A...
Original Source
Read the full article at Dev →KhanList aggregates and links to publicly available news content. We do not host full articles from third-party sources. Always verify important information with original sources.