Autocomplete, multi-file refactoring, hunting a non-obvious bug, writing tests — the same four jobs run through all three assistants, plus what each actually costs and where the day-to-day experience diverges.
These three are not competing on the same axis: one lives in your terminal, one replaces your editor, one builds the app for you. Which shape fits which kind of work, where each one breaks, and what you actually end up paying.
When “Just Use ChatGPT” Stops Being Good Enough A freelance writer I know spent three weeks manually researching, outlining, drafting, and editing 40 blog posts for a client. She used AI tools through
The Voice That Made Me Do a Double-Take A few months back, I was editing a podcast episode for a creator friend when she mentioned she’d re-recorded one of her intro segments using an AI voice clone o
The Freelancer Who Made $12,000 in a Month Without Working Weekends A copywriter I know — let’s call her Maya — used to spend every Sunday doing research and prep work for the week ahead. Client brief
The Moment I Realized I Was Using the Wrong Tool A few weeks ago, a content manager I know told me she’d been using Notion AI to write blog posts and ChatGPT to take meeting notes — the exact opposite
The Prompt That Changed How I Use AI Tools A colleague of mine spent three weeks complaining that ChatGPT was “useless for legal summaries.” She kept getting vague, wishy-washy outputs that she couldn
The Editor That Made Me Question Everything I Thought I Knew About Coding A designer friend of mine — who also writes Python scripts for automating her workflow — sent me a voice note about three mont
The Prompt Engineering Rabbit Hole Nobody Warns You About A colleague of mine spent an entire Saturday refining a single prompt. We’re talking six hours, dozens of iterations, a notebook full of “fram
Nobody Told Me Where to Start — So I’m Telling You A colleague of mine spent three weeks “researching AI tools” before she actually used one. She’d read comparison posts, watched YouTube deep-dives, b
