Can you turn an idea into a working screen?

People who don't stop watching AI, turn ideas into reality by entrusting small functions to check and fix them themselves.

Reduce the problem to be solved in one sentence, determine the first screen and three core features, and create the first version that works with AI.

It observes repeated life problems and refines them into small tools containing only the necessary functions.

Separate screens, functions, and tests, make requests to AI, and directly check and correct the results.

Check the production flow that matches the idea, such as lifestyle apps, English learning apps, mini-games, and video automation, on a real screen.

It's natural that we weren't able to get started due to lack of development knowledge.

As soon as you put together a problem in one sentence and entrust it with a small result, the idea in your head turns into the first version you can check for yourself.

reduce the problem to one sentence,

Learn how to entrust screens, functions, and inspections to artificial intelligence.

I make my own lifestyle apps, English learning apps, and mini-games,

Turn an idea into a working first screen.

At the end of this lesson, you

You can turn an idea in your head into an actionable first plan.

The problems you want to solve are summarized in one sentence, and the criteria are narrowed down to three or fewer features that are essential for the first version. Instead of just a big service plan, you can directly complete a production plan that includes the first screen and the next task list.

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How to turn a vague idea into a working first result

Reduce ideas

Complete small features

Summarize the problems to be solved even if you don't know the development in one sentence, determine the first screen and three core functions, and then change them to a task specification that artificial intelligence can understand.

Learn the production flow leading to request, confirmation, correction, and inspection by following examples of lifestyle apps, English learning apps, mini-games, and video automation.

Artificial intelligence production practice with direct press to view and fix

Using ChatGPT and Codex, we create lifestyle tools and English learning apps such as “I'll do it for you,” and implement the flow from input to review and the rules for game status, score, and difficulty.

In video automation, single-line topics are linked to results that can be uploaded, and personal information, usability, and completion standards are directly checked through failure records and retry processes.

Production records and standards leading up to the next task

Instead of showing only the finished results, the direction of revision is determined based on the actual screen, production process, work specifications to be delivered to artificial intelligence, and test criteria for each function.

After the course, you can complete an action plan with a first screen, three key features, and a list of the next tasks, tailored to your own ideas.

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An idea in my head

A production flow that turns it into a working first screen

section 1

A starting point for creating your own ideas

Instead of just watching artificial intelligence, we look at how to use it as an actual production tool. Through various production examples and repetitive production sequences, students learn the basic attitude of entrusting small tasks to artificial intelligence and improving results.

section 2

Refine ideas into small production units

Starting with a problem to solve rather than a vague idea, I'll summarize the first version's core features into three or fewer. Learn how to create one-line plans and specific work specifications for artificial intelligence to understand and execute, and avoid problems that start with an excessively large scope.

section 3

Turn life problems into products

We will look at the process of observing repeated inconveniences in daily life and developing them into a lifestyle application that records and manages them with voice or text. Consider the boundaries between family data and personal information, and learn verification methods to remove unnecessary features during actual use for a week.

section 4

Create an English learning application

Design a user flow that links learning English into a single action and continues from input to review. Learn the responsibility of storing and managing data, human verification of artificial intelligence explanations, and key experiences that induce continuous use from actual production examples.

section 5

Artificial intelligence and minigame creation

After defining the fun of a game in one sentence, the game is divided by state and score and difficulty rules are designed. They learn the process of verifying and improving by entrusting not only implementation but also testing to artificial intelligence by separating whether it works and fun elements.

section 6

Building an automated video production channel

The repetitive video production process consists of an automated flow linked from entering a single line of topics to creating and uploading the video. Learn how to prioritize quality standards and operating systems over production volume while managing approval procedures, execution logs, and retry and recovery criteria in case of failure.

section 7

Organize the production process and design the next steps

It organizes screens and common production sequences actually created in lifestyle applications, English learning applications, mini-games, and video automation projects. Without accepting the results of artificial intelligence as is, a person makes a final judgment on personal information, usability, and completion criteria, and completes the first screen, core functions, and next task list for their own ideas.

The concerns of these people

I can solve it!

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An undeveloped planner with an idea

People who think of an app to solve inconveniences in their lives but aren't sure how far to reduce the functionality

A person who only repeated vague explanations to artificial intelligence and didn't lead to the actual screen or the first working version

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An office worker trying to automate work

People who want to turn repetitive data organization and content creation into small tools, but can't divide tasks into units that artificial intelligence can handle

Those who need a way to check personal information and completion criteria whether they can use the requested results as they are

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Prospective producer who started a side project

Those who clearly want to create results like an English learning app or minigame, but have had the experience of stopping in the middle because the features were too big from the beginning

Those who want to learn the production flow of deciding on the first screen and core functions, entrusting the work to artificial intelligence, and then directly testing and modifying

Notes before taking the course

Lab environment

Requires a Windows or Mac operating system.
Have a web browser and stable internet ready.
I use ChatGPT and Codex.
Artificial intelligence agent training is also conducted.
At least 8 GB of memory is recommended.

Player knowledge and precautions

You don't need any development experience to get started.
Summarize the problem in one sentence.
It covers vibe coding and prompt engineering.
Artificial intelligence results must be verified directly.
Care must be taken when entering personal information.

Study materials

Use lecture slide documents.
Production records for each project are also reviewed.
Write a screen plan and work specification.
Create an inspection list and next task list.
Check the prototyping results firsthand.

How to turn my ideas into reality with AI

How to turn my ideas into reality with AI