Learning path map
Detailed content
🔺 The AI Pyramid
The five levels of AI mastery — from everyday prompting to the architecture of intent that decides everything.
A five-step map — prompt, vibe code, context, agentic, and architecture — from the basics to the greatest leverage.
Shows you where you are: you know which step you’re on and what comes next.
Mastery levels, foundation × peak, progression.
The foundation: asking AI well—clarity, examples, and the expected format.
It’s the entry point, but only the first step.
Instruction, example, output format.
Build real things by talking with AI, without writing every line by hand.
You become a builder, not just someone who asks—the prototypes come together in minutes.
Fast iteration, creating through conversation, prototyping.
Feed the AI with what’s in your head and your data—not just the request.
It's the most durable rung: context is your differentiator.
Context, your IP, unique output.
AI that reasons, uses tools, and performs tasks with little supervision.
It's where leverage takes off — but so does the risk.
Agent, tools, autonomy.
Design the system: context, rules, goals, and validation — your intent.
It's the top of the pyramid and what gains the most value in the AI era.
Intent architecture, validation, system design.
🧠 Context Engineering & Your AI OS
A prompt is how you ask; context is what the AI knows. The most durable step of the pyramid.
The distinction between how you ask (prompt) and what the AI knows (context).
Shifts the focus of effort from the lowest-return area to the highest-return one.
Prompt, context, leverage.
Models improve and absorb prompt tricks, but they still need what's in your head.
Invest in what doesn’t become obsolete with every new version.
Durability, obsolescence, tacit knowledge.
Use projects and GPTs with documents, calendar, and priorities already built in.
Stop re-explaining everything and get tailored responses.
Projects, GPTs, persistent context.
A repository of your knowledge: transcripts, emails, DMs, and videos that AI can consult.
AI starts to know you better than you remember everything.
AI-OS, knowledge base, external memory.
Without onboarding, AI is a clever intern guessing; with context, it gets it right.
Gives you a practical sense of how much context to provide.
Onboarding, sufficient context, calibration.
Poor data produces generic output; taking good care of your context makes the result unique.
What sets your output apart is your IP, not the model.
Data quality, IP, differentiation.
🦾 Agentic & the Intent Architecture
When to use an agent, when a workflow is enough — and why intent is what really matters.
A system that reasons, uses tools, and completes tasks, not just answers.
Separate hype from real architecture.
Reasoning, tools, task completion.
A workflow is a vending machine (always the same); an agent is a slot machine (nondeterministic).
The analogy helps you decide when you need predictability.
Deterministic, nondeterministic, predictability.
Deterministic task = inexpensive workflow; ambiguous task that requires reasoning = agent.
Avoids paying a lot for something unstable when a simple workflow will do.
Cost, ambiguity, choice of tool.
You design the context, rules, goals, and validation—the AI carries out your intent.
It's what remains human and is most valued.
Rules, goals, validation.
Without you watching, an agent’s mistake goes straight to the customer.
The more autonomy, the more fail-proof the system needs to be.
Human-in-the-loop, failure, safeguard.
Solve it more cheaply and safely without AI when AI doesn't add value.
More impressive than putting AI everywhere — it shows judgment.
Judgment, simplicity, value for money.
🤵 Build Your Jarvis: Always-On Partners
From triggered by you to self-triggering: systems that run quietly in the background.
An always-on partner that notices things and acts before you even ask.
It's the pyramid's destination — AI in service of your routine.
Always-on, proactive, a partner.
Map predictable triggers: email X arrives, every Monday, a new lead in the CRM.
Every predictable trigger is a candidate for automation.
Trigger, pattern, automation.
The real leverage is what runs while you sleep, not what you launch.
Gets you out of the bottleneck—the system works without you being there.
Manual trigger, automatic trigger, leverage.
Without you in the loop, the system needs to be fail-safe and thoroughly tested.
Autonomy without safeguards puts your reputation at risk.
Fail-safe, test, safe limit.
The ones who win don’t have 100 tools: they run cheaply and do real work.
Simplicity that delivers beats complexity that impresses.
Background work, lean process, real results.
The course wrap-up: context + intent + an agent at the service of YOUR profession.
Aim for the partner who amplifies your potential, not the replacement that erases you.
Partnership, synthesis, a protected career.