From Prompt to Product

Build a real product with AI and learn to sell it

From zero to a working, deployed product you can put in front of a customer. Usually about a month — but the pace is yours and access does not expire.

Enrol Read a lesson free

1 month

Typical pace, not a deadline

3 parts

From setup to sales

Experience required

$ HOW_IT_WORKS --STEPS=4

It starts with a conversation, not with code

Idea

You define what you are building and who for

Prompt

You learn to brief an AI so it understands the first time

Build

The AI writes code, you steer, check and correct

Sell

The product is deployed — now we go find customers

You are the client. The AI does the work. What you learn is not typing code, but framing a task so it comes back the way you needed.

$ FOR --WHO

Who this is for

Complete beginners

You have never written code and never used AI tools to build — the course starts from the very beginning, with no steps skipped.

People who already tried Claude

You generated some code with AI but never carried it through to a real working product — that is exactly what you learn here.

You are an experienced developer looking for a course on architecture or algorithms

You want a result with no effort — press a button and receive something finished

$ RESULT --GET

What you have by the end

A working, deployed product — not a demo, but something you can show a real customer

The skill of briefing an AI so it returns what you needed — on any product, not only the one you built here

A working setup: Claude Code, skills, connectors, Git, deployment — and an understanding of what each is for

A grasp of how to find customers for this product and how to approach them

A named certificate — awarded not for ticking boxes but for a defence: a working product and offers you actually sent

$ PROGRAM --PARTS=3

How the programme is built

You choose the product yourself — a service, a bot, an app, an internal tool. The programme is built so you can construct any of them, rather than reproduce one prepared example.

Setup, tools and how to talk to an AI

Week 1

A working setup and the first page of your product live on the internet

Choose an idea and test demand on real people — before a single line of code exists

Install a terminal and Node.js: what they are, why, and how to know it worked

Install Claude Code, learn the interface and the change-approval flow

Write prompts properly: structure, context, definition of done, the usual mistakes

Run the conversation: clarify, disagree, roll back, keep the context clean in a long session

Skills: what they are, which to install from Anthropic's official repository, and how to build your own

Connectors (MCP): browser, GitHub, database, documentation — what to connect and why

Git and GitHub: keep a history so any working version can be recovered

Deployment: the product becomes reachable by anyone at a link

Building your product step by step

Weeks 2-3

A working product with real functionality — not a demo, something usable

Break the idea into stages: what goes into the first version and what waits

Choose tools for your product — without a week of reading comparisons

Understand what a product is made of: frontend, backend, database, hosting

Build the interface and the first working feature

Make an interface you are not embarrassed by, without a designer

Connect a database and user sign-in — data stops disappearing

Put AI inside the product if it needs it: keys, safety, cost per request

Take payment, if the product is paid

Security: so the product is not broken into and customers' data and payments do not leak

Find and fix errors with the AI — how to read an error and what to send back

Domain, email and link preview — the product stops looking like a hobby

The phone: responsive layout, install to home screen, an app in a store

Your own server and backups: when to move off managed hosting and how not to lose data

Pre-launch checks: against a checklist and against a live person

Customers, sales and money

Week 4

Offers sent and first replies from real people

Build a customer profile: who they are, how they solve it now, what pushes them to look

Find the places where those people already discuss the problem

Set up search and AI-assistant visibility so the product gets found

Write the first messages — an approach that does not read as spam

Assemble a one-page pitch

Price from costs, value and your own time — so you do not work at a loss

Answer "too expensive" and "let me think" — what sits behind an objection

Take money legally: what form to register, what your declaration must cover, who issues the buyer a receipt

What must be on the site to avoid fines: terms, personal data, ad disclosure, rights to AI-written code

What to do after the first payment: retention, testimonials, referrals

Investment and grants: city programmes, accelerators, innovation zones, grant funds — where to go, what to show, and when it is too early

$ STACK --TOOLS

Claude CodePrompt engineeringSkills and MCP connectorsGit and GitHubDatabasesAuthenticationPaymentsDeployment (Vercel / VPS)

$ LS ./MADE-WITH-THIS-APPROACH

It works outside the classroom

Real products I build with the same approach I teach on the course.

VibeSync

An AI platform for background music with intelligent audio analysis

Live

TenderFinder

An AI tool for finding public tenders with automatic analysis

In progress

JollyLevelUP

A gamified education platform for learning new skills

In progress

Tilvio CRM

A CRM platform for beauty businesses with client management

Live

$ WHOAMI

Jolly Nomad

Independent developer. I believe in technology that solves real problems — every product should be practically useful rather than an exercise filed in a drawer. I specialise in automation and AI integration: what I teach on this course is what I use in my own products.

10+ products builtAI, automation, SaaS

$ HEAD -1 COURSE

Look first, decide after

open, no payment

Writing prompts an AI understands the first time

Not a demo and not an excerpt — a real lesson of the course in full, with its practice checks and homework. It is also the most useful one on its own: the structure of a request, context, definition of done, and the mistakes that make an AI build the wrong thing.

Read the lesson

$ PRICING --TARIFFS=2

Choose a plan

The material is identical in both — the difference is personal support.

This is the first-cohort price. It goes up from here: the course currently runs without recorded video and without graduate testimonials, and the price reflects that. Everyone who joins now keeps access to the material for good.

On your own

$17.50

Work through the course by yourself, at your own pace.

All material: text, video, homework

Access for good

No personal support

Buy

few places, 10-15 per cohort

With support

$55 per cohort

Everything above, plus a month of support directly from me. The material is yours for good.

All material: text, video, homework

Access to the material for good

Homework reviewed and personal feedback

Private cohort group

Your project watched over for the whole month

Buy

Already bought? Sign in

Comparable courses run from $60 to $1,500 — this is the same practical substance without paying for a school’s brand.

$ LS ../OTHER-COURSE

Blog on autopilot: Reels with AI in 30 days

The second course is for those who need a blog rather than a product. For beginners, phone only, Claude in chat and CapCut: an Instagram account and the first ten reels in four weeks. Taught in Russian.

See the programme

$ ACCESS --HOW

How access works

You pay for the plan you chose through Tribute

You open the course cabinet and sign in with Telegram — the same account you paid from

The material stays yours for good — come back to it whenever you like

$ CAT FAQ.MD

Questions that usually come up

Yes. Access to the texts, video and homework has no time limit — work through the course at your own pace, whenever suits you.

Yes, the course starts from zero. No programming experience and no previous work with AI tools is needed — we begin at the very beginning.

Yes. But not for ticking "completed": to unlock it you have to finish every lesson and show a result — a link to a working product and three offers you actually sent to customers. Then it means something. It downloads as a PDF; it is confirmation that you completed the course, not a state-issued qualification.

Yes, one lesson is open in full and free — "Writing prompts an AI understands the first time". It is also the most useful one in isolation from the rest of the course.

It applies only to the personal support — homework review, feedback and the private group. The course material itself stays yours for good, regardless of when the cohort ended.

still deciding?

Message me on Telegram — I answer personally

I will help you pick a plan or answer any question about the course.

Message on Telegram Choose a plan