Efficiency Tracking Using AI Tools: The Smarter Way
Most AI agents don’t fail because the underlying model is weak. Instead, they fail quietly, burning tokens on redundant tool calls and retries that nobody notices until the bill arrives. Efficiency tracking using AI tools has therefore become the missing layer in most agent stacks. Teams typically instrument for correctness does the agent get the […]
Tool Trace AI: What Most Users Discover Too Late
An agent that picks the wrong tool doesn’t crash. Instead, it just gives you a confidently wrong answer, and the logs look fine. That’s the core failure mode that makes agentic systems hard to operate: the model didn’t error out it simply called search_flights when it should have called search_hotels, and nothing downstream noticed. As […]