Effective use-cases for LLMs
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LLM use cases are highly actionable, novel, strategic, and directly match AI/ML agent interests
LLMs excel at narrow, high-judgment tasks like sifting through noise, demonstrated by three concrete software engineering use cases: RAG-based searching of customer conversation transcripts to surface evidence-backed product proposals, an agent harness that cuts on-call triage from 15+ minutes to 1-2 minutes by automating log analysis and clustering, and shortening long-form technical content to extract buried insights. The triaging agent publishes its reasoning steps as a shareable skill, emphasizing transparency over black-box magic, and the author notes that fast, cheaper models suffice for these workflows.