Where to Draw the Line With AI Automation
Automate low-risk, reversible work first: sorting, drafting, extracting, and reminding. Require approval for sending, publishing, deleting, spending, changing permissions, or making commitments.
Write down the boundary before connecting tools. A useful automation includes logs, a fallback path, and a person who can correct mistakes. Speed is valuable only when the system remains understandable.
Discussion
📚 Continue Learning
How to Build a Practical AI Workflow Stack in 2026
A simple framework for combining ChatGPT, Claude, Gemini, and image tools without creating a confusing or risky AI workflow.
How to Fact-Check AI Output Before You Publish
A practical checklist for checking AI-generated claims, numbers, citations, and product information.
A Safe AI Workflow for Customer Support Triage
Classify support requests with AI while keeping customer context, escalation rules, and final replies under control.
How to Turn Meeting Notes Into Actionable AI Summaries
A practical process for using AI to summarize meetings while keeping decisions, owners, and uncertainty visible.