Gemini 3 truly brings a leap in AI creation. In the past, if you wanted to create a Texas Hold'em simulator that could "run itself", with decision logic, dynamic chip calculation, and player behavior simulation, it often required at least several technicians, working with developers to write a complete state machine, probability model, and UI interaction logic.
Even with the help of early LLMs, it was only possible to generate static code snippets, unable to execute, iterate, or debug automatically under the same logical framework.
The biggest change in Gemini 3 is the combination of multimodal and long-process reasoning capabilities, forming a truly "self-operating" prototype system.
Below, I will use this real process as an example, to give you a directly replicable five-step workflow, so you can create your own Texas Hold'em or Baccarat game today. I have broken these three capabilities into a five-step process.
Follow these steps, and you can produce a runnable game Demo.
💻 Step 1: Define your game
The "multi-model role-playing" capability of Gemini 3 means:
The model itself can play different roles, such as players, referees, AI decision-makers, and even state machines.
As a producer, you just need one sentence to automatically generate: a complete turn-based process, player strategy models (aggressive/conservative/mixed), judgment logic (Texas Hold'em: win rate → compare cards → pot), betting process, and chip system.
Texas Hold'em example (can be directly copied):
build a texas hold'em game with 5 AI players, each powered by different Gemini models.
Use Gemini-3-pro as the judge.
Add 3D casino visuals and allow autonomous simulation with downloadable logs.
Baccarat example:
build a baccarat game with banker/player logic, 3D casino table visuals,
simulate 1000 rounds and export all results as CSV.
In the past, this required writing behavior trees, state machines, probability modules—now a single natural conversation can accomplish it.
💻 Step 2: Let Gemini write a complete technical plan
This is where Gemini 3 is most like a "technical director."
You just need to say: Please break down my requirements into a complete executable technical plan, including module structure, data flow, state machine, UI layout, and all logic.
It will automatically output:
Game engine architecture (Logic/UI/Assets/Simulation), AI decision system structure (aggressive/robust models), state machine flowchart (Texas Hold'em: preflop → flop → turn → river), card game objects and rules definition, UI component structure diagram (table layout, buttons, panels), animation and 3D asset list (for the next step), log format and data structure.
This is equivalent to automatically generating a "project proposal + technical manual."
You can continue to optimize the technical plan to make it more suitable for rapid prototype development. It will automatically streamline the minimum viable demo.
💻 Step 3: Let Gemini build a runnable Web App
You just need one sentence:
build this as a working web app.
Gemini will execute a complete build chain, automatically producing: 3D casino table (controllable lighting, materials, camera), 3D poker cards/chips models, UI panels (betting, round tips, player list), game engine + round state machine, AI decision logic access, runnable Demo page.
If you are familiar with the art direction, you can continue to debug the style here.
💻 Step 4: Dialogue iteration
From this step on, you are the "producer + planner". Whatever you require, Gemini will modify accordingly.
For example, adjust AI strategy: make player number 3 more aggressive, increase bluffing frequency.
Adjust UI/scene: add card dealing animation, change the poker table to Las Vegas style.
Adjust data presentation: add real-time win rate trend chart, and display each player's chip changes.
This step is the development iteration process.
Step 5: Automatic simulation + export
You just need one sentence to complete the entire process: run automatic simulation, for example: simulate 10000 rounds autonomously, it will execute from dealing to settlement automatically;
Export data, for example: export all simulation logs as CSV, it will automatically provide player win rates, strategy behavior, round logs, chip changes, and shuffle fairness statistics;
Exporting forms only need one sentence, including exporting as a web version, deploying as an online demo, generating H5 embedding, or packaging as an APP.
In the past, this required a complete front-end and back-end link, now a single sentence from Gemini 3 can handle it.
😔 Gemini 3 can accelerate the way games are produced
The revolutionary aspect of Gemini 3 is that it compresses the professional capabilities previously scattered across multiple positions into the productivity of a single natural language.
In the past, engineers needed to write state machines, artists and technical artists to build 3D scenes, backend developers and analysts to run simulations, DevOps to deploy online, and small team collaboration workloads, but now it can be completed with just one conversation—you really can independently make a Texas Hold'em or Baccarat game.
The key point is, you don't need to know programming, design, editing, or other professional skills, as long as you have ideas and are willing to try, through AI dialogue, you can directly implement your creativity.
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