Step 1 of 15
>_ AI Agent Mastery

Welcome to AI Agent Mastery.

You're here because you know AI can do more than answer questions in a chat box. The next few screens show you what's inside, where to start, and how to go from typing prompts to running agents that do real work for you.

Why You're Here

Most people are still chatting with AI.

You type, it answers, you copy-paste. That's 2023. Agents work differently — you set the goal and they do the work. The same three mistakes keep almost everyone stuck in the chat box, so let me walk you through each one.

Problem 1 of 3

You prompt. You don't delegate.

Prompting means you do the thinking and the model does the typing. Delegating means you define the outcome and the agent plans, executes, checks its own work, and comes back when it's done.

This single mental shift is the difference between an AI toy and an AI employee.

Problem 2 of 3

Your agent has no rules.

No context file, no definition of done, twenty tools when it needs three. Then the agent wanders, loops, and you blame the model. The harness around the model matters more than the model itself.

Forty lines of rules written once will outperform every mega-prompt you ever copied from X.

Problem 3 of 3

You use one model for everything.

Frontier model for boring tasks burns money. Cheap model for hard tasks burns hours. Real agent stacks route the work: heavy lifting to the strong model, the loud 80% to fast and cheap ones.

Matching the model to the job is half the skill. I'll show you my exact routing.

What's Inside

What do you find here?

Six modules built to take you from chat-box user to agent operator. Each one builds on the last, so let me walk you through them in the exact order you'll actually use them.

Module 1 of 6
🧭

The Onboarding

You're going through it right now. It maps out everything inside the Whop and tells you exactly where to start, so you never have to guess what to open first.

Module 2 of 6
⚡️

Your First Agent

The exact stack I run — Claude Code in the terminal, the models I route between, my context file rules — plus the weekend plan that takes you from zero to your first working agent.

Module 3 of 6
📦

The Monthly Drops

Every week I ship what I'm building, what broke, and what I fixed — prompts, configs, model comparisons. This month: the Claude Fable 5 deep dive and multi-hour autonomous coding runs.

Module 4 of 6
💬

The Chat

Where members share their agent setups, post wins, and debug together. Stuck on a config at 1am? Someone in here has already broken the same thing and fixed it.

Module 5 of 6
♾️
Lifetime tier

Everything. Forever.

Every prompt, every workflow, every update I'll ever ship. Model spreadsheets, Claude Code configs, agent architectures. One payment, no recurring, no "new version = new price."

Module 6 of 6
📨

The Telegram Newsletter

Free forever, even for non-members. Every week you get fresh agent workflows, breakdowns of new model releases, and field-tested setups you can paste straight into your own work.

Where to Start

Your path, in order.

Follow this exact sequence after this onboarding. Each step builds on the one before it.

1

Read Your First Agent

The stack, the rules, the weekend plan. The foundation for everything else.

2

Ship your first agent this weekend

One small real job. Watch it work, correct it, run it again. That loop is the skill.

3

Open the Monthly Drop

Steal this month's configs and workflows while they're fresh.

4

Post your setup in the Chat

Share what you built. Get it roasted, improved, and unstuck.

5

Join the Telegram newsletter

Where the ongoing weekly value lives long after you finish the modules.

One More Thing

Join the Telegram.

Most of the ongoing value lives there. Every week brings new agent workflows, model release breakdowns, and setups you can use right away.

✈️ Join Telegram
You're Set

You're ready to begin.

Open Your First Agent next and follow the path in order. Every module builds on the one before it, so trust the sequence and resist the urge to jump ahead.

From here on out you stop typing into chat boxes and start running agents — and the work you ship stops looking like everyone else's.

— Pavel