A finished web page
A landing page, service page, course page or application page — for your real task.
live course
Build your web page with ChatGPT and Cursor — from idea to launch
A course for experts, consultants and product creators who want to learn how to build their own pages with AI.
Technical experience is not required. What matters is the willingness to understand the process and build a real page step by step.
Your page, built and published
On the course you work on your own project: plan the structure, build the page with Cursor and bring it to a live version.
A thoughtful structure
Clear block logic: who you speak to, what you explain and what action you lead toward.
A code foundation in Cursor
The page is built in a code-first workflow where Cursor helps you write and change code.
A process for new pages
You keep not only the finished page but also a clear way to build the next ones.
Why this course
AI agents give speed when you have a working structure
Without a clear route, the project quickly drifts: edits multiply, page logic falls apart and the result depends on a lucky or unlucky prompt. On the course you learn how the tools work, how to assign tasks to Cursor and how to lead a page to a live version from the start.
On the course you learn to work with AI agents so the result depends on process, not on a lucky prompt.
С какими сложностями обычно сталкиваются
No clear working frame
The page starts from separate ideas and requests but quickly loses direction.
Hard to assign tasks to Cursor
The AI agent writes code better when it gets context, constraints and a clear next task.
Edits become chaotic
Without a process, changes pile up, conflict with each other and break the page's coherence.
The technical path breaks into pieces
Code, GitHub, Vercel and live review look like separate tasks although they should be one route.
Course method
From idea to published page — through a clear process
From the first step you work with AI: define the page meaning in ChatGPT, turn structure into quality tasks for Cursor, build code, review the result and bring the project to a live version.
- 1
Page meaning
Define the audience, page task and the action it should lead to.
- 2
Structure with ChatGPT
Use ChatGPT as a tool for thinking, structure and task setting.
- 3
Tasks for Cursor
Turn page decisions into clear prompts for the AI agent that writes code.
- 4
Build and review
Build the page in short iterations, review the result and refine the interface.
- 5
Publishing
Commit changes, publish the page and review it as a live project.
This way you get a finished page and a process you can repeat in future projects.
One meaning block — two interface levels
On the course you learn to frame tasks so the AI agent helps build not only standard sections but also more precise interface solutions for the page meaning.
Section example
How work on the page unfolds
A calm card grid: briefly describes steps without interactivity.
Frame the task
Define the block meaning, its role on the page and the user action needed.
Hand off to Cursor
Turn the decision into a clear task for implementation in code.
Review the live result
Open the page in the browser, notice edits and move in a short iteration.
Standard CTA without states and logic
Interactive workflow
How we lead a block from meaning to live page
The same meaning shown as a route: pick a step to see what happens at that point in the process.
Step 01
Meaning
First we define why the block is needed: what idea it explains and what action it should move closer.
- active states
- micro-interactions
- workflow logic
- responsive UI
Standard blocks are useful as a quick frame. Code-first workflow adds states, logic and interactivity when the page meaning requires it.
For people who own their product and want to move ideas to a page faster
The course is for people with strong expertise who need their own web pages but do not want to depend fully on developers, designers or random AI experiments every time.
You sell expertise
Consulting, services, education, authored products and small online projects.
You need pages for real tasks
Course landing, service page, program application, launch or idea test.
Course meaning
Own page creation with AI
without full dependence on contractors and random experiments
You want to understand the process
You do not have to become a developer, but it matters to understand what happens with structure, code and publishing.
You are ready to work step by step
The course fits those who want to go through the path consciously — from page meaning to publishing.
You will learn to manage page creation from idea to launch
The course gives not only a finished page but a practical skill: understand what to do at each stage, how to use ChatGPT and Cursor and how to review the result.
Turn an idea into structure
Frame the page task, build block logic and understand what action the visitor should take.
Work with ChatGPT as a thinking partner
Use AI for structure, copy, refining decisions and preparing tasks for the next step.
Assign tasks to Cursor
Describe needed changes so the AI agent can work with code more accurately and predictably.
Understand basic project structure
Navigate files, components and page logic without becoming a professional developer.
Move in short iterations
Make changes step by step, review the result and keep control over the page.
Publish and review the live version
Understand the role of GitHub and Vercel in the process, open the page in the browser and evaluate it as a working result.
Course program: 4 sessions where you build your project
The course is built around your own project. Each session has theory, practice and a concrete result that stays in your work.
Tools, workflow and project start
Theory
- Basic stack: ChatGPT, Cursor, GitHub, Vercel.
- Tool roles: what we discuss, what we implement, how we record the result.
- How to organize project start for further work.
Practice
- Create a starter project in Cursor.
- Set up a basic folder structure.
- Add working documentation and a simple placeholder page.
Result
You have a created project, basic structure, documentation and a first simple page.
Design prep, style guide and component library
Theory
- Why it matters to fix the visual system before building.
- What to define upfront: colors, typography, buttons, cards, fields, sections.
- How a style guide makes Cursor work more stable.
Practice
- Form the project's basic visual system.
- Record the style guide in documentation.
- Create a style guide page and component structure.
Result
You have a style guide, a page with element examples and a clear component structure.
Page structure, task strategy and prompt-based work
Theory
- How to discuss a page in plain language: goal, logic, blocks and copy.
- How to turn discussion into a technical prompt for Cursor.
- How to work through stage strategy, tickets and sequential implementation.
Practice
- Break down your own page structure.
- Form a task list for creation.
- Prepare prompts via ChatGPT and build key blocks.
Result
You have page structure, a task list and a first substantive page version.
Refinement, responsiveness and publishing
Theory
- How to run a basic review of an AI-built page.
- What to check: visuals, structure, copy, consistency.
- How to check responsiveness and publish the project via GitHub and Vercel.
Practice
- Review and refine your page.
- Fix weak spots in visuals, structure and copy.
- Check the mobile version and publish or prepare a preview.
Result
You have a refined and reviewed page plus a published project version.
This way the course program becomes sequential work on your own project.
Live format where you move together with your project
The course is built so you go through page creation in a working rhythm: session, practice, result review and next step.
Live sessions
In sessions we break down stage logic, show the process in practice and answer questions along the way.
Work on your own project
You apply each step to your own page: service, course, application, product or another real task.
Short iterations
After each stage it is clear what to refine, what to build in Cursor, what to check and what to commit.
Reviews and support
You can discuss interim results, wording, visual decisions and technical questions.
Movement toward publishing
The format helps bring the project to a published or working preview version, not stop at a draft.
Flexible participation format
You can start with materials, take the course individually or adapt the program for a team.
One iteration — from decision to result review
On the course you work on the project in short cycles. First clarify the task, then hand it to Cursor, review the result in the browser and define a clear next step.
Discuss
Discuss the decision in ChatGPT
Frame the block goal, its role on the page, content and constraints.
Frame
Prepare a task for Cursor
Turn the decision into a clear technical prompt: what to change, where to work and what result to expect.
Build
Build or refine the block
Cursor makes changes in the project, creates components, edits styles and helps move through the task.
Review
Review the result
Open the page in the browser, check visuals, responsiveness, copy and the overall user path.
Commit
Commit and continue
Save changes in GitHub, check the live version and frame the next iteration.
This way technical work becomes sequential: each step has a task, a tool and a visible result.
A project approach to working on web pages
Choose the format that fits your path to your page
You can start on your own with materials, take the course individually or adapt the program for a team.
Course materials
For self-paced workPrompts, presentations and workflow structure to complete the journey on your own.
Priced separately
what's included
- stage-by-stage prompts
- course presentations
- workflow from idea to publishing
- unlimited access
Individual live format
Main formatWe build your page step by step: from structure to live version.
from $60/hour4 sessions × 1.5 hours
what's included
- work on your project
- page structure
- prompts and tasks for Cursor
- publishing and review
- session recordings
- adaptation to your task
You can take it as a pair — terms discussed separately.
Team format
Corporate formatFor companies, educational programs and teams who want to master an AI-assisted workflow on their own tasks.
Estimated individually
what's included
- program adaptation
- group sessions
- practice on your projects
- materials for team processes
- session recordings
- invoice and documents
FAQ
Frequently asked questions
Questions that usually come up before choosing a participation format and starting work on your page.
You can start with materials, take individual training or discuss a team format. If you are unsure, submit an application or message on Telegram — I will help you choose the right option.
It is 4 sessions of 1.5 hours. We work on your page: structure, copy, Cursor tasks, publishing and result review.
Yes, the individual format can be adapted for two participants, for example colleagues or partners. Terms are discussed separately.
You get prompts, presentations and workflow structure to complete the journey on your own.
Yes, the corporate format is adapted to team tasks, participant level and real projects.
After we agree on format and schedule I will send payment details.
Yes. For teams, invoice and closing documents are available when needed.
Deep programming experience is not required. On the course you work with a ready project, clear structure and an AI agent in Cursor. What matters is being ready to understand the process and review the result step by step.
That is normal. GitHub and Vercel are used in the course as part of the practical process: commit changes, publish the page and see the result in the browser. These steps follow a clear scenario.
You work on your own web page: a landing, service page, course page, form or another project. By the end you should have a built and published or publish-ready page version.
The course fits best when you need a practical page for a service, product, educational project, form or idea test. If the task is unusual, we can discuss it — that makes it easier to see whether the format fits you.
The course is built around process, not around one set of buttons. Tools may change, but the work logic stays useful: frame the task, build structure, assign a clear task to the AI agent, review the result and move in short iterations.