The AI Prompt Every Mobile Dev Needs
A 2-minute prompt that grounds AI mobile design in the one thing models have never experienced: holding a phone.
June 27thA three-hour first-look stream where one /goal command builds an entire multiplayer game — and then an iOS app — while the host mostly watches.
A frontier coding model in autonomous goal mode can take one loosely specified prompt, spawn its own specialist sub-agents, and ship, deploy, and self-test a real multiplayer app in under an hour without step-by-step supervision.
This is a live first-look at GPT-5.6 Sol running in Codex goal mode. The host gives one prompt: build RF-Zero, a live multiplayer clone of F-Zero, then walk away. The model decomposes the work, spawns its own sub-agents for the SpacetimeDB backend, ThreeJS rendering, and browser testing, and within thirty minutes has a playable build it deploys to Vercel and tests using computer use and Playwright. Viewers join and play live, crashes and low FPS surface, and the host queues chat feedback back into goal mode, which fixes issues and even rewrites the backend from TypeScript to Rust on request. He kicks off a second, more complex iOS canoe-club app in parallel, hits his weekly usage limit, and discovers goal mode keeps running past the limit until the task is done. The through-line: the bottleneck has moved from writing code to defining a clear goal and steering an agent that does the rest.
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First-look framing: skip the benchmarks, vibe live, pull the GPT-5.6 Sol card and set a build goal.

Explains the F-Zero multiplayer clone idea, picks Soul Ultra, writes the prompt, weighs the reasoning tiers.

Fires the single goal prompt, shares it to his community, and Codex spawns sub-agents and starts research.

Talks weight-loss journey and a brother's AI-built meal tracker, then breaks to rescue a dog from the pool.

Walks through his AI thumbnail strategy, then the first end-to-end slice compiles cleanly.

First playable local demo; explains SpacetimeDB using his YeeBall soccer game; agent self-tests via computer use.

The game deploys to Vercel and viewers join a live multiplayer race from the deployed URL.

Live play crashes and runs at low FPS; host queues chat feedback into goal mode for iterative fixes.

Explains his verification-first Waves prompting method and the skills repo that unlocks emergent agent behavior.

Kicks off a complex canoe-club iOS app with Convex in parallel, telling the agent it will run overnight unattended.

On request the agent migrates the game backend from TypeScript to Rust with a staged plan and rollback.

The iOS app appears in the simulator with liquid-glass UI; the game gets a retro visual redesign, all self-tested.

Hits the weekly usage limit but goal mode keeps running; First Mate orchestration and model-tier debate.

iOS app tests itself in the simulator; host reflects that the bottleneck is now imagination, and closes the stream.
The skill that matters is no longer writing the code — it is defining a verifiable goal, giving the agent the constraints it needs, and steering it as it ships.
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
GPT-5.6 Sol dropped and every reviewer already posted their take — so Ray Fernando skips the benchmark theater and does the one thing a review can't fake: opens the model live for the first time and hands it a single goal. Build F-Zero as a multiplayer web game, then walk away. What follows is three hours of watching an agent spawn its own crew, ship to production, and rewrite its own backend while the host mostly reacts.
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180:56A 2-minute prompt that grounds AI mobile design in the one thing models have never experienced: holding a phone.
June 27thA build-in-public session where the host reverse-engineers his own Maker School product to identify the three levers — ARPU, churn, and ascension — needed to triple service revenue.
June 20thA reluctant 28-minute tour of the Claude Code features every competing harness should steal.
June 17thA 14-minute tutorial that converts the feeling of being lost into a five-step repeatable system for learning anything with AI.
June 17thA 14-minute demo of the open-source tool that lets Claude Code, Codex, and Pi work together under one orchestration layer.
June 15thSix trigger phrases that turn Claude Code from a sequential task-runner into a parallel, spec-driven, self-correcting build system.
June 14th