Genre roulette
Each episode starts with a roll. The genre — tower defense, platformer, puzzle, whatever — is decided before anyone touches a model.
Regular people — a tinkerer, a rookie, a wildcard, and a newcomer — stress-testing whether AI can really build software for anyone. Real prompts. Real code. Real receipts.
[Draft — Scott to edit] Every model lab on earth is making the same pitch: their AI can build real software for anyone, no coding experience required. Some of them can, sometimes, on a good day, in the right hands. PromptBash exists to find out what happens when those hands aren't a software engineer's. The crew runs the full beginner-to-power-user spectrum: a tinkerer who wrote his first program on an Apple IIe and has been around computers for nearly forty years (Scott), a complete beginner who's never written a line of code (Mayson), a tech-literate non-coder who's pure unpredictability (Devin), and a true newcomer with even less computer experience than the rest (Ashley, Scott's daughter). If the AI promise is real, every one of us should be shipping working software. If it's not, you'll see exactly where it breaks.
[Draft — Scott to edit] The format is brutally simple. Same genre for everyone. Same prompt budget. Different models, different brains, different builds. Then we put every game side by side and let viewers play them, vote on them, and decide whose AI actually delivered. The results are sometimes a coronation, sometimes a disaster, and sometimes a surprise nobody saw coming. That's the show.
Every episode runs on the same set of constraints. The model and the person behind the prompts decide the rest.
Each episode starts with a roll. The genre — tower defense, platformer, puzzle, whatever — is decided before anyone touches a model.
Each crew member picks the AI they want to bet on for the episode. Claude Opus, Sonnet, Haiku, GPT-5, Gemini, Grok — anything currently shipping is fair game.
Every crew member gets exactly five prompts to ship a complete game. No takebacks. No editing prompts mid-stream. Whatever the AI hands back is what we work with.
Every game goes up at the same time. Viewers play them all, vote for their favorite, and the leaderboard tells the truth.
Winner gets bragging rights until the next episode. Losers explain themselves on camera. Everyone learns which models can actually deliver under pressure.
The five universal rules above apply across the board — but how they get applied depends on the episode format. Here's what we run.
Same genre. Same budget. Different brains.
The classic format. Crew members get the same genre and a fixed prompt budget, then each picks their own AI model and builds in parallel. At the end, all the games go up side by side and viewers vote on which one actually delivered. Participant count varies per episode — sometimes it's the whole crew, sometimes a subset.
One codebase. Taking turns. Watch it evolve.
Crew members share ONE codebase and take turns evolving it across multiple rounds. Each round is one prompt applied to whatever the previous person left behind. The game gets weirder, smarter, or funnier depending on who got the last word. Participant count and round count vary per episode — sometimes a tight rotation, sometimes a free-for-all.
Same task. Different AIs. Whoever wins, wins.
One or more crew members run the same task through multiple AI models — Claude, GPT, Gemini, Grok, AiFr3d, anything we can get our hands on. The focus is on comparing the AIs themselves, not the people. The contestants are the models.
A tinkerer with nearly forty years around computers, a complete beginner, a tech-literate wildcard, and a true newcomer. Click a card to dig into each one.

The Tinkerer
Nearly forty years of bossing computers around — wrote his first program on an Apple IIe and never looked back. Not a coder, just stubborn enough to make machines do what he wants. Been playing with AI tools and bots since they hit the mainstream, and now he’s letting the AI take the keyboard.

The Rookie
Has never written a line of code in his life. Walks into every episode with nothing but curiosity and a prompt budget. If AI can really build for anyone, he’s the proof.

The Wildcard
Tech-literate but not a coder. Heavy software user, quick to learn, completely unpredictable when the AI does something weird. Comes in hot with ideas no one asked for.

The Newcomer
Scott's daughter and the absolute beginner of the crew. Knows even less about computers than Mayson — which is the whole point. If AI works for her, it works for anyone.
Every episode mixes the roster up. Here's who's been in the ring so far.
Anthropic
Anthropic's heavyweight. Slowest to respond, sharpest reasoning, hands down the most expensive prompts on the show. Scott's pick when he wants the AI to actually think before answering.
Anthropic
The middle child. Fast enough to iterate, smart enough to keep up. Mayson's bet that a balanced model can carry a complete beginner across the finish line.
Anthropic
The speedster. Cheapest by far, ships answers before you finish reading the prompt. Devin's wildcard pick when he wants quantity and surprise over precision.
And the answers, where we have them. Some are still drafts — we'll keep refining as the show evolves.
Yes, we're aware. A channel about non-programmers stress-testing AI build tools, on a website built almost entirely by AI under Scott's direction. The recursion is the point. Take a peek under the hood.
Built collaboratively by Scott and Claude Opus over the spring of 2026 — a tinkerer with nearly four decades of computer experience (he wrote his first program on an Apple IIe), working alongside an AI that did all the actual code. The clock behind the logo is the viewer's local time. The character art was generated and post-processed; backgrounds were algorithmically removed via corner flood-fill so even Mayson's solid black shirt survived intact. If a self-described non-coder can ship this site, that's the show's whole pitch in one website.
New episodes drop on YouTube. Subscribe and you'll never miss the moment an AI rage-quits halfway through prompt 4.