Course · training overview · 6 lessons
From chat to agent: four steps to put AI to work for you
Terminal, your own assistant, task queue, and social media on autopilot. In six short lessons, you’ll understand each step, see how the pieces fit together, and leave with the plan and templates to do things in the right order.

- 6short lessons
- 4sequences
- 23hands-on exercises
- 5videos
The 4 complete courses
Each step has a full course, with practice and a quiz. Go in order or jump straight to what you need right now.
Step 1 · 8 lessonsFrom chat to the terminalOpen the terminal without fear, install the agent, set up the folder with rules, save every version with Git and put your page online.Open the course
Step 2 · 8 lessonsYour JarvisAn assistant with the memory and personality you define: four text files, a core built with tests and a chat over Telegram.Open the course
Step 3 · 7 lessonsQueues: ten tasks and go to sleepSend ten tasks, go to sleep and check in the morning: what goes into the queue, the inemaccbot and the gates before what matters.Open the course
Step 4 · 8 lessonsSocial media on autopilotA reel in 7 stages, videos for each audience and the channel for your niche that checks every number and only publishes what you approved.Open the course
The lessons
An overview of each step. Each step has a full course, linked at the end of its lesson.
Lesson 1 · 6 minFrom chat to agent: the four stepsIn chat, you guide everything, and when you close the window, the work stops. An agent reads your files, performs tasks, and keeps going while you do something else. The shift isn't about changing models: it's about changing where you work.
Lesson 2 · 12 minStep 1: from chat to the terminal (OSWork)The terminal is just another window. With six commands, you can move through your folders; with an AGENTS.md, the agent knows who you are and what it can do; with Git, you can undo any mistake.
Lesson 3 · 10 minStep 2: your Jarvis with INTELECTOA personal assistant written from scratch in Python, kept small on purpose: it talks with you on Telegram, remembers your conversations, and uses a cloud or local model. You stop opening a website to chat: the assistant is yours.
Lesson 4 · 12 minStep 3: queues — ten tasks, then go to sleepAn agent working alone does one thing at a time, and only while you’re watching. With a durable queue, each request becomes a saved task that can resume if something goes down, and workflows stop at a gate before anything important happens.
Lesson 5 · 14 minStep 4: social media on autopilot, with sources on screenr7e builds the reel in seven trigger steps. promoavatar makes avatar videos for each audience. The xviral agents watch what the biggest names in the niche have posted, check every number, and publish with the source on screen. The engine is the same: only the topic changes.
Lesson 6 · 10 minYour plan: one step at a timeYou’ve seen the four steps. Now make a dated plan, do the exercises in order, and move up only when “done when” is true.
Who it’s for
- 1People who use ChatGPT, Claude, or Gemini and want to stop copying and pasting.
- 2Professionals who want their own assistant and tasks running without constant supervision.
- 3People who will guide teams or clients through this transition and need the full roadmap.
What you’ll be able to do
- 1Say which step you’re on and what comes next.
- 2Set up the agent’s folder with AGENTS.md, Git, and secrets kept out of the text.
- 3Design your assistant, your queue with gates, and your niche’s channel with the source on screen.
- 4Follow a four-week plan with 23 verifiable exercises.