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LLM Cost Tracking Solution: How to Monitor and Control AI Spend in Agentic Systems
The first sign of trouble isn’t always performance. Sometimes it’s the invoice. Your team ships a new agent that routes…
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Few-Shot Prompting for Agentic Systems: Teaching by Example
Your new AI agent looks great in testing. It follows instructions, calls tools, and returns clean, structured outputs. Then it…
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Prompt Drift: The Hidden Failure Mode Undermining Agentic Systems
Your travel-tech startup launched an agentic flight-booking assistant that handled search, comparison, booking, and itinerary creation across LLM-driven planning steps…
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Human-in-the-Loop Review Workflows for LLM Applications & Agents
You’ve been testing a new AI assistant. It sounds confident, reasons step-by-step, cites sources, and handles 90% of real user…
New! Track & optimize Claude Code spend across your engineering team. Contact Us→
Author: Dr. Cayla Eagon
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