L1Free with sign-in
017LESSONS
Awaken
Turn Pi into your own Agent.
Start from Pi, run your own Agent, connect a messaging channel, and complete the first real build.
2 hands-on + 5 concept
- Pi → your Agent
- Telegram chat
- AI-first collaboration
✳AI AGENT SCHOOL BY DARKS
Build an agent
you will actually use every day.
I turned 1,000+ hours of hands-on development into a path you can follow. Build your own Agent first, then expand it systematically until it becomes part of your work and daily life.
01
Stage 1 is free
Finish L1 and build an Agent that is truly yours.
02–04
Keep expanding the same architecture
Continue through paid L2–L4, learning by building until you can develop independently.
Finish Stage 1 for free · Expand through paid L2–L4 · Learn by building until you can develop independently
THE FOUR-STAGE JOURNEY
The whole course, at a glance.
Start with one Agent of your own, learn by building, and grow with it. You do not need to understand all 40 lessons up front — first see where each stage takes you.
L2Paid
0211LESSONS
Mind
Build a solid foundation with your Agent.
Add the dashboard, context, development workflow, memory, and the core architecture needed for sustainable changes.
11 hands-on
- Long-term memory
- Proactive heartbeat
- Web dashboard
L3Paid
0310LESSONS
Enable
Grow with your Agent.
Add tasks, tools, RAG, automation, and real applications around what you actually need.
8 hands-on + 2 concept
- Tasks & schedules
- Local RAG
- Browser automation
L4Paid
0412LESSONS
Govern
Keep developing your Agent on your own.
Learn governance, maintenance, APIs, MCP, and the habits that let you keep expanding after the course ends.
11 hands-on + 1 concept
- Finance & calendar
- API / MCP
- Growth governance
Want every lesson title, publication status, and concrete outcome? Open the full course map.
View the full course mapBuilt from real projects
I turned the path I figured out myself into something you can follow.
I have built an audience of 23,000+ and helped thousands learn AI automation. This course turns the workflows, mistakes, and repeatable methods from my own Agent development into a path you can reuse.
Visit n8n SchoolSOUND FAMILIAR?
Plenty of tools. Still no project you actually use.
Unsure where to start
There are too many tools, models, and setup choices. I organize the path so the first step is clear.
You understand the pieces, but they do not connect
I turn the things I have actually built and debugged into a system you can follow instead of another pile of tips.
The prototype gets messier over time
Follow one development path, grow the same Agent, and learn while you build instead of restarting every time.
NO ADVANCED AI TOOLCHAIN REQUIRED
A fresh Codex can follow the path — no Skills, AGENT.md, MCP, or extra AI tooling required.
When I record the hands-on lessons and validate each development plan, I intentionally use a fresh Codex without preloaded capabilities. The plans are written against that baseline so people who are new to AI development can start from zero.
Already have MCP servers, Skills, AGENT.md, or a toolchain you like? Keep using them. They can make you faster, but they are not prerequisites for this course.
BLANK CODEX / BASELINE
Validated with fresh CodexNo required MCPNo required SkillsNo required AGENT.md
HOW YOU LEARN
Don’t just watch it. Build it yourself.
I build the path and walk it once with you. Learn at your own pace, build only what you need, and understand the architecture as it becomes useful.
Hands-on · 32 lessons
Every hands-on lesson includes a video. When a project can be specified, you also get the project plan I already tested so your AI can build with you instead of rediscovering every dead end.
- 01Watch the build
- 02Get the project plan
- 03Build with your AI
- 04Operate and verify it yourself
Concepts · 8 lessons
Concept lessons use video or written guides depending on the topic. The goal is not memorization; it is understanding the architecture exactly when you need it.
- 01Video or guide
- 02Plain-language explanation
- 03Real use case
- 04Back to building
WHAT YOU REALLY LEARN
Build what you need, learn what you need, and eventually keep developing without the course.
A proven path
Start from workflows that have already been built and debugged instead of rediscovering every step.
AI as your development partner
The project plans teach AI what to build; the videos teach you what is happening.
Learn by building
You do not need to finish everything. Build what matters now and understand the system through real work.
Independent development
The endpoint of L2–L4 is knowing how to keep extending your own Agent with AI after the lessons end.
Join earlier, pay less
Joining now locks in the lowest price currently available.
A hands-on course takes time to build, test, and refine. Instead of making everyone wait until every lesson is finished, I release material as soon as it is ready and continue filling in the rest. Early buyers receive a lower price; the price moves up as the course becomes more complete or buyer thresholds are reached.
BEST CURRENT PRICE
Start now; future additions stay included
You can start with what is ready now instead of waiting for all 40 lessons. Once you join at today's price, future L2–L4 additions and project-plan updates remain included; pricing only moves forward as content completeness or buyer count increases.
Self-study$99 USD
Community$149 USD
Buyers until the next price increase 99 buyers
01
Content completeness
As L2, L3, and L4 are filled out, pricing advances with the completeness of the course.
02
Buyer count
If the current buyer threshold is reached first, pricing moves up before the next content milestone.
Earlier buyers pay less without getting less content
I want learners to start building as soon as useful material is ready, so completed lessons go live first and the rest is added over time. Early buyers receive a lower price while future L2–L4 additions and project-plan updates remain included.
PLEASE CONFIRM BEFORE PURCHASE
Try L0 and L1 first. Buy only after you are sure the course fits you. Digital access is generally non-refundable after purchase.
If you are not sure yet, use the free L0 and L1 material first and decide later.
YOUR GUIDE
I turned the path I figured out myself into a course you can follow.
I started from planning and operations, not software engineering. I learned AI automation by building from scratch, grew an audience of 23,000+, helped more than 1,000 entrepreneurs apply AI automation, and spent 1,000+ hours this year building an Agent I use every day. This course is the path I wish I had at the beginning.
MOVE AT YOUR OWN PACE
Build your own Agent for free first. Then decide whether to keep expanding.
L1 lets you finish the first stage for free and build a real Agent. Continue into L2–L4 only if you want the architecture and capability expansions that take you toward independent development.
FAQ
Before you start
Can I start without knowing how to code?
Yes. Stage 1 is designed to get a complete beginner to a first success. You still operate the steps, show errors to AI, and verify results yourself.
What is the difference between hands-on and concept lessons?
All 32 hands-on lessons include operational video and aim at a concrete capability. The 8 concept lessons use video or written guides depending on the topic, then send you back into the next build.
What is free and what is paid?
L1 is free and gets you through the first stage with your own Agent. L2–L4 are paid architecture and capability expansions designed to teach you by building until you can continue independently.
Is this just learning another tool?
No. The goal is to walk the whole path once, from the first step to the last, so the next time you know how to walk it yourself.
Can I learn this just by watching the lessons and videos?
It is difficult. The best result comes from building it yourself once, which is why the course is designed around hands-on work rather than passive watching.
If I can ask AI anything, why buy this?
This is not a single lesson. It is the path I already worked through and organized so you can follow it. You could ask AI to rediscover the path and teach you afterward, but the repeated trial-and-error and high-end model token cost may end up costing more than the course.
Do I need specific MCP servers, Skills, or AGENT.md before I can follow the course?
No. My hands-on lessons and development plans are validated against a fresh Codex with no preinstalled Skills, no AGENT.md, no MCP, and no private AI toolchain. I first make sure that this blank baseline can complete the plan before it becomes course material. That means beginners without an existing AI development setup can start directly. If you already prefer your own MCP servers, Skills, AGENT.md, or other development tools, you are free to use them — they are accelerators, not course requirements. Individual lessons may still require the basic runtime, service, or account needed for the feature being built.
Can I get a refund after purchasing?
L0 is public without sign-in, and L1 lets you complete the first stage for free after signing in. Please watch the lessons, try the workflow yourself, and review the L2–L4 roadmap before you buy. If you are not sure this teaching style or roadmap is right for you, please do not purchase yet. Paid access is a digital product delivered immediately after purchase and cannot be taken back like a physical item, so general refunds are not offered.