Summary of "AI Makes Pokémon"

AI Makes Pokémon (experiment / mini-tutorial)

Goal

Build a playable Pokémon-style game in 60 minutes using three high-end AIs and publish it if the result is good.

AI pipeline / workflow

The experiment used a 3-step AI pipeline plus a final check:

  1. ChatGPT — Director & base-code generator

    • Referred to in the video as “Chad GBT (5.4 Thinking Model)”.
    • Produced the project plan, basic game architecture, and an initial HTML/JS codebase.
    • Created a simple first-iteration playable clone titled Mini Monster Quest with basic battle mechanics, encounter logic, leveling, and starter monsters (initially no custom images).
  2. Google AI Studio with Gemini (3.1 Pro) — Builder & asset generator

    • Took ChatGPT’s code and generated monster images/sprites (examples: Fire Cub, Bubbleoo, Sprattle/Turwig-like).
    • Embedded images into the game code, aiming for a Game Boy / Pokémon Yellow aesthetic and mobile-friendly controls.
  3. Claude (Opus 4.6 extended) — Polisher / refactorer / finisher

    • Fixed sprite-loading issues, refactored assets and code, and polished visuals and gameplay toward the intended retro feel.
  4. Final check

    • ChatGPT was used again at the end to identify and report remaining bugs.

Technical notes and product features

Bugs / issues discovered

Outcome

Extras mentioned

Main speakers / sources

Category ?

Technology


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