Evaluate non‑LLM approaches for targeted backend tasks

A video argues the industry is shifting from ever‑larger LLMs toward smaller, specialized models and agent/tool‑using systems that can outperform general LLMs on narrow tasks. Treat this as a testable hypothesis: in data/backend workflows (log parsing, alert triage, code refactors, SQL generation), compact models or agentic pipelines may deliver better latency, cost, and reliability than a single big LLM.