AI Insight

A non-developer’s 5-axis framework for picking best open-source LLM tools for indie developers in 2026 — models, runners, licenses, and what broke in testing.

A non-developer’s hour-by-hour triage of the OpenAI Academy AI at Work course: what’s worth the 15 hours, what to skip, and one workflow I built from a lesson.

How to use AI agents at work as a non-developer office worker — a 3-question filter, the agent I actually run this week, and the one that broke last Tuesday.

A non-developer’s 5-input framework for ai agents for customer support without code — what to define before opening any tool, and what broke in my first build.

How I built a personal prompt library as a non-developer: the keep-or-kill rule, the 5 fields each prompt needs, and a no-code path from text to Notion.

How to keep up with AI without burning out — a non-developer’s time-boxed weekly routine, the 3 sources I kept, and why fewer is faster.

An honest 7-day Claude Code build log of vibe coding for non developers — what broke, what I shipped, and whether you can do it without reading code.

30 days. Three tools. No new subscriptions. Here’s the working professional’s daily log — what actually broke, what I shipped, and the five lessons that stuck.

A first-person 30-day journal: I locked myself to 3 AI tools and stopped chasing new ones. Small observations, not big percentages — why depth beats the cycle.

A Korean office worker’s inside view of the korea ai adoption gap: workers sprint while companies stall in pilots — plus a framework to turn it into your edge.