AI Mayak
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Learning path

Build my own product

  • 158 lessons
Who it is for

For people who want their own AI product: a bot, a web service or an automation. We start from zero; installation and code come in step by step.

What you get

You go through the whole course in order, from your first chat with AI to a product that takes payments and is monitored and protected, and you build five projects from start to finish.

Start the first lesson of this path
  1. Use AI in my work19 lessons · 5 stages
  2. Earn with AI36 lessons · 8 stages
  3. Build my own product158 lessons · 18 stages
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Lessons in this path, stage by stage

  1. Foundations: what AI is and how to talk to it

    11 lessons
    1. 1.1Your first 30 minutes with AI: where to start
    2. 1.2AI without fear: will AI take my job?
    3. 1.4The history of AI: from Turing to Claude, and why now
    4. 1.3How an LLM works inside, explained without math
    5. 2.4Claude vs ChatGPT vs Gemini: AI models compared
    6. 2.1How to write a good prompt
    7. 2.2The Default Shift: an AI mindset for your work
    8. 2.3AI ethics and safety: hallucinations, attacks, bias
    9. ★The evolution of AI: 76 years from Turing to the agents of 2026
    10. 1.5AI for your family: kids, teens and seniors
    11. ★AI Mayak Academy Glossary: 2026

  2. Agents and the market: what changed

    5 lessons
    1. 12.1What is an AI agent, and why it matters now
    2. ★Agentic workflows vs. traditional automation
    3. ★The Four C's framework: how to structure your AI OS
    4. ★The AI tool market's big stories: Devin, Windsurf and Manus
    5. ★AI Hardware in 2026: Apple Intelligence, Smart Glasses and AI Wearables — What to Buy and Why

  3. Your workspace: plan and installation

    7 lessons
    1. 5.1How much to spend on AI: $0 to $2,000 a month
    2. 12.4Claude Code pricing: Free, Pro, Max, Team or API?
    3. ★Installation and setup: VS Code, Claude Code, first launch
    4. 12.5Claude Code desktop: start without the terminal
    5. ★CLAUDE.md: your project's system prompt
    6. ★Claude Code permission modes and CLI launch modes
    7. ★Claude Code built-in commands

  4. Your first workflow

    4 lessons
    1. ★The WAT framework: workflows, agent and tools
    2. ★Setting up API keys and .env: a safe start
    3. ★Build your first AI workflow live: newsletter automation
    4. ★Debugging and Self-Repair

  5. Context and memory

    7 lessons
    1. ★Tokens and context management in Claude Code
    2. ★Context Rot and 28 techniques to fight degradation
    3. ★Context management: advanced techniques
    4. ★RAG: Retrieval Augmented Generation
    5. ★The philosophy of folders: the PARA system for an AI entrepreneur
    6. ★Obsidian as a second brain for the AI era
    7. ★Notion AI as your team's knowledge base

  6. Websites, APIs and connections

    9 lessons
    1. 12.6Build websites and web apps with Claude Code
    2. ★APIs and integrations
    3. ★MCPs: expanding what Claude Code can do
    4. ★MCP Pricing & Token Economics: free vs paid servers, the real cost of integrations
    5. ★Multimodal Claude (working with more than text): images, PDFs, audio
    6. ★Deploying 24/7: how to put your project online with Cloudflare Workers, GitHub and Vercel
    7. 12.2No-code AI for non-programmers: v0, Webflow, Framer
    8. ★n8n + AI: smart workflows with LLM nodes and agents
    9. 12.3Zapier AI: thousands of apps and smart Zaps with AI

  7. Skills, hooks and agent commands

    10 lessons
    1. ★What are Skills (reusable instructions for Claude): expertise you can reuse
    2. ★Building a skill (a reusable instruction for Claude) from scratch, LIVE: Skill Creator + the Eval (automatic quality check) Framework
    3. ★Skill architecture (a skill is a reusable instruction for Claude): 2 archetypes
    4. ★Evals: skills that improve themselves
    5. ★Use, don't build: when to use a ready-made Claude skill and when to create your own
    6. ★Arsenal of Prompts: 6 reusable modes
    7. ★Hooks: automatic rules for Claude Code
    8. ★Hooks LIVE: building hooks from scratch
    9. ★Subagents: specialized workers
    10. ★Agent teams: working in parallel

  8. Advanced work in Claude Code

    12 lessons
    1. ★Browser automation: Playwright + QA
    2. ★Permissions and security
    3. ★Git worktrees: parallel development
    4. ★Headless Mode and CI/CD: Claude without a UI
    5. ★Extended Thinking: thinking things through
    6. ★Computer Use: controlling the screen
    7. ★Prompt Caching and the Batch API: economies of scale
    8. ★Loop vs Scheduled Tasks: when to use which
    9. ★Claude Code CLI: when the terminal beats the IDE
    10. ★32 Claude Code hacks: from beginner to power user
    11. ★Ultra hacks 2026: finds from 45+ sources across the internet
    12. 13.2Choose your path: a map of the deep-dive library

  9. Content: text, images, voice, video

    10 lessons
    1. 3.1AI copywriting: a prompt pipeline that sounds like you
    2. 10.1How to build a personal brand with AI
    3. 4.1AI image generators in 2026: tools and workflows
    4. ★Design atlas: AI image generation, icons, animation and UI systems
    5. ★AI voiceover: ElevenLabs, the TTS stack, voice content
    6. 4.3AI music with Suno and sound design
    7. 4.2AI video generation: Runway, Kling, Luma and more
    8. ★Video editing with Claude Code: FFmpeg, DaVinci Resolve MCP, Remotion
    9. 3.4AI presentations with Gamma, Beautiful.ai and Claude
    10. 10.2The full AI content pipeline: from idea to post

  10. Assistants, bots and messaging

    10 lessons
    1. 3.2AI for email: a smarter inbox, drafts and replies
    2. 3.3AI meeting notes with Otter.ai and Fireflies
    3. 3.5AI translation and localization: DeepL and Claude
    4. ★AI in messaging apps: Telegram, Slack, WhatsApp and Teams on autopilot
    5. ★Voice tools: Aqua Voice, /voice mode, Whisper
    6. ★Social media automation: Instagram, Telegram, content on autopilot
    7. ★AI Executive Assistant: a capstone assistant project
    8. ★Telegram bots with the Claude API, from zero to production
    9. ★Algorithmic trading with Claude Code: connecting Alpaca through MCP and managing risk
    10. ★Crypto + AI in 2026: what works, what's overhyped, and how not to lose money

  11. Agent systems and your own AI setup

    12 lessons
    1. ★Manus AI: autonomous agents for tasks that take hours
    2. ★AI sandboxes: E2B and Modal for running agent code safely
    3. ★Browser agents: Browserbase, Stagehand and web automation
    4. ★Multi-agent orchestration: LangGraph, CrewAI and Mastra vs. Claude Code
    5. ★Advanced Computer Use: patterns for complex automation
    6. ★Voice AI agents: Vapi, Retell, Bland.ai, real phone calls
    7. ★Real-time AI: streaming, WebRTC and low-latency conversational agents
    8. ★Chatbot managers: NLP, intent routing and smart handoff to a human
    9. ★Local AI models: Ollama, LM Studio and private AI
    10. ★Fine-tuning: when prompts aren't enough
    11. ★Local AI agents: minimal agents, OpenClaw, Hermes, Qwen-Agent
    12. ★Self-hosted AI Enterprise Stack: vLLM, SGLang, Docker. An internal AI platform for your team

  12. Money in plain English

    4 lessons
    1. 7.1Unit economics made simple: what a customer is worth
    2. 7.2How to price your services: floor, market and value
    3. 7.3Break-even and cash flow: when your business pays you
    4. 5.2What AI tools really cost and how to stop overpaying

  13. Niche, price and packaging

    12 lessons
    1. 6.3How to choose a niche with real demand
    2. 6.4How to find a niche with Google Trends and Reddit
    3. ★AI competitive intelligence: automatic market monitoring with Claude
    4. 6.1Making money with AI: 5 client cases, by the numbers
    5. 6.2100+ AI business ideas for small business owners
    6. 5.3Jobs of the future: 100 new and hybrid AI careers
    7. ★Product and Business Atlas: MCP Connector Catalog, Professions and Product Ideas
    8. 8.2How to price AI services: value-based pricing
    9. 8.3How to price an AI product: value, tiers, packaging
    10. 8.1Packaging your AI services into three clear offers
    11. 9.2Portfolio and case studies: how to show your value
    12. ★MCP Builder: building your own MCP server

  14. Clients, sales and growth

    11 lessons
    1. 9.1How to find your first clients through people you know
    2. ★Finding potential clients: from scraping websites to a CSV file
    3. 9.3Cold email and LinkedIn outreach with Claude
    4. 9.4Cold outreach that gets replies: email, LinkedIn, video
    5. 10.3Lead magnets: a simple funnel from free to paid
    6. ★Funnel design for AI products: from visitor to paying customer
    7. 9.5How to handle objections and close the deal
    8. 9.6How to hand off a project and keep the client
    9. 11.2The factory model: templates for repeatable client work
    10. ★Cost engineering: $20 vs. $200 a month, or how to pay 10 times less for the same results
    11. 11.3Graduation: your 30-60-90 day AI business plan

  15. Marketing and support with AI

    9 lessons
    1. ★Product analytics with AI: PostHog, Mixpanel and smart insights without a data analyst
    2. ★CRM on autopilot: HubSpot + AI, deals without a sales rep
    3. ★The SEO machine: the full stack with Claude Code
    4. 10.4AI for advertising: ad copy, A/B tests and reports
    5. 10.5AI for sales: qualifying leads, follow-ups, closing
    6. ★AI Customer Support: a ticket system, RAG over a knowledge base, smart support
    7. ★Call Support AI: Vapi + Bland.ai, voice calls in customer support
    8. ★AI chat on your website: Crisp + Claude, a smart widget
    9. ★Microsoft 365 + Claude: the full integration

  16. Production: payments, reliability, security

    10 lessons
    1. ★Payments & Billing: Stripe MCP, subscriptions, webhooks
    2. ★Security in Claude Code: .env, secrets and data protection
    3. ★AI regulation & compliance 2026: the EU AI Act, GDPR, Anthropic's terms, and what small businesses should watch for
    4. ★Managing an army of agents: logs, oversight, ClickUp and CRM
    5. ★MLOps for indie builders: monitoring, drift and retraining without a DevOps team
    6. ★Production observability: what to monitor when your agent is live
    7. ★Failure recovery patterns: what to do when your agent breaks in production
    8. ★Backups and recovery for your AI stack: what to do when the Anthropic API is down
    9. ★The final architecture: a business's complete AI stack
    10. ★Unit economics of an AI stack: the full financial math at 3 levels (solo / SMB / enterprise)

  17. A mature system

    8 lessons
    1. ★Why a business owner needs security and architecture
    2. ★Plugin Security: 9 attack categories and a trust registry
    3. ★Hook-Deny-By-Design: hooks that protect themselves
    4. ★Prompt injection defense, the top security threat of 2026
    5. ★Knowledge Atlas: a map of knowledge in 54 layers
    6. ★Curricula: 8 learning tracks for different readers
    7. ★3-tier templates: solo, mid, corporate
    8. ★Portfolio detachability: projects you can unplug

  18. Finale: five projects and a look ahead

    7 lessons
    1. ★Build-Along: a Telegram bot for a business in 7 days
    2. ★Build-Along: a SaaS MVP from idea to first users
    3. ★Build-Along: Content Factory, a content pipeline in 7 days
    4. ★Build-Along: a voice agent for a business in 7 days
    5. 11.1Build-Along: start an AI consulting business
    6. 5.4The future of AI 2027-2030: how to prepare
    7. 13.1The lesson you didn't expect

Other paths

Use AI in my work Earn with AI