Concrete code, honest costs, real failures. We try things out for ourselves, then publish what we learned — prompts, scripts, and receipts included.
How Claude, Gemini, GPT and friends behave when we actually wire them into something — not just on a benchmark.
What a thing actually costs to run. Tokens, hosting, API minutes — broken out so you can decide for yourself.
When a bet doesn't work, we say so and show the math. The corrections matter more than the wins.
Both come from OpenAI. People assume Codex is just "ChatGPT for code." It isn't. I gave both the same real coding task — a small Python CLI called AskTube that fetches a YouTube transcript and summarizes it — and watched what each one shipped.
I started this channel as a bet: if AI handles almost the entire pipeline — script, voice, visuals, edit — then doing all of it in a second language should be almost free. So I went bilingual, Japanese and English. A few videos in, I'm killing that. Here's the miscalculation, because it's one any solo builder can make.
I handed the exact same one-line prompt to Claude, Gemini, and GPT — build a landing page for a fictional app called "PlantPing" — and compared them on design, code, and generation speed.