In 2026, AI agents have become the default paradigm for automating complex workflows: DevOps orchestration, customer support, database triage, and e-commerce transactions.
Yet, every engineering team deploying autonomous agents in production eventually hits the same brick wall:
Crippling Latency: A standard 4-step tool chain (think -> tool -> observe -> think) easily burns 15 to 45 seconds.
Brutal API Bills: Running that loop 50,000 times a day costs thousands of dollars every month for redundant reasoning.
Flakiness & Non-Determinism: Even with a 98% success rate per step, a 4-step chain has an ~8% failure rate.
