Watching an agent diagnose its own missed schedule, switch itself from passive to active wake mode, and confirm the fix — without me tracing a single step of it myself.
Why describing what you want in plain language and letting Claude auto-apply a Skill beats another afternoon spent wiring up nodes in Dify, n8n, or Coze.
A drag-and-drop OCR-plus-LLM tool got me thinking about where a workflow ends and an agent begins — with a simple three-question test.
A telecom customer-service example — using Tools for live data lookups and a knowledge base for static rules, with an LLM deciding which to call.
What an ‘agent’ actually means in the context of large language models, and a worked example in a customer-service setting.