From Prototype to Profit: Solving the Agentic Token-Burn Problem

# AI agents are getting expensive to run—here's how to fix it Companies building AI agents that make decisions on their own are discovering they burn through expensive API costs at scale, making it hard to actually make money from the technology. The solution involves making these agents smarter about what they actually need to think through, rather than having them reconsider every decision from scratch. Getting this right is the difference between an impressive demo and a tool that your business can actually afford to operate.
Engineer token-efficient, self-adapting workflows for production The post From Prototype to Profit: Solving the Agentic Token-Burn Problem appeared first on Towards Data Science.
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