Putting it all together: the 6 layers in action
Prompt → Intention → Context → Leverage → Architecture → Evolution
🔗 How each layer feeds the next
Prompt (T1): without a structured request, even the best intention doesn't translate into a result.
Intent (T2): without a clear destination, you write precise prompts for the wrong place.
Context (T3): without the full picture, even the right intention produces a generic response.
Effective use (T4): without a method, a good result gets stuck in a conversation and never becomes an asset.
Architecture (T5): without structure, the method doesn't scale beyond you.
Evolution (T6): without the improvement cycle, the system grows and stops. With it, each cycle starts stronger than the last.
💡 Key concepts
interdependent
≠ collection of tools
the foundation supports the top
stronger with every iteration
Review rhythms without bureaucracy
Lightweight rituals that stick—not heavyweight methodologies we abandon.
Daily check (2 min)
At the end of any task that used AI: “Was it better or worse than expected?” If worse: note why. If much better: note what variable was different. Nothing more than that.
Weekly check (10 min)
What worked this week? What would you repeat? What would you adjust? Is there an artifact worth updating based on what happened? If so—update it now.
Monthly review (30 min)
Full audit: check progress indicators, version artifacts that have accumulated changes, review the system map, and check whether the metrics are moving in the right direction.
Quarterly review (1-2h)
The time to look at the system as a whole: has any artifact reached end of life and needs to be rewritten? Is any layer underdeveloped? Is it time to plan the next level?
💡 Key concepts
D/S/M/T
minimum that works
sustainable for years
the system's real cost
Metrics that matter for YOUR goal
There’s no universal metric. Defining yours is part of the system.
👥 In your profession — 5 profiles, 5 metrics
🧑💼 Manager
Meeting time → documented decision. Goal: ≥80% of briefings approved without revisions.
🎨 Creator / Freelancer
CTR / engagement by format. Goal: 1 new format insight per week.
💻 Developer / Technical
Time per recurring task. Goal: average time dropping ≥10% each quarter.
📚 Educator / Consultant
NPS for the material delivered. Goal: ≥1 new portfolio artifact per month.
🔬 Researcher / Analyst
Time to synthesize each report. Goal: synthesis prompts reaching v3.0+.
💡 Key concepts
specific to the objective
focus, not spreadsheets
direction matters more
the metric evolves too
When to rewrite vs. adjust
The end-of-life diagnosis for an artifact.
✓ Adjust (patch)
- • The artifact’s core is still valid
- • The change needed is specific and well-defined
- • Fewer than 3 patches have been applied
- • The artifact’s purpose hasn’t changed
- • Result: add/remove an instruction
✗ Rewrite (reset)
- • Accumulated 4+ patches that contradict each other
- • The goal changed (new context, new audience)
- • Results consistently below expectations
- • You can't explain the logic behind the current artifact
- • Result: new file, v1.0 with what you learned
🔍 The clearest sign that it’s time to rewrite
If you read the current artifact and can’t explain why each instruction is there—or worse, if some instructions seem to contradict each other—that’s a sign the artifact grew without planning and accumulated debt. Rewriting it costs 2 hours now; continuing with the bad artifact costs weeks over the course of the year.
💡 Key concepts
conscious decision
accumulated patches
do you understand yours?
v1.0 with learnings
Compounding advantage
Why the “latecomer” who operates a system surpasses those who collect prompts.
📊 Two profiles, 6 months, divergent results
💡 Key concepts
cycle × cycle
connected beats scattered
the advantage of starting right
reversal horizon
📦 Capstone as a portfolio piece
System map + LinkedIn + résumé + interview — all in one piece.
Deliverable: AI Knowledge System Map
A page that answers: What are your main artifacts at each layer? How do they connect? What evolution cycle do you operate?
My artifacts by layer (6 cells, 1 per track)
My progress cycle (cadence + metrics)
What I built + what runs today
Format: Notion, Google Docs, 1-page PDF — whatever you already use. What matters is that it exists, not where it lives.
How to present the system — 3 contexts
I don't use AI.
I operate an AI system.
—
The difference seems semantic. It isn’t.
[describe 1 concrete example of your system in action]
E.g.: "Every deliverable I create starts with a v3.0 base brief that I built over 6 months. It's not a prompt — it's a living artifact that evolves with every project."
—
Result: [concrete metric or quality of delivery]
—
The system has 6 layers. I learned each one.
If you want to see the map → [link or "message me"]
—
#AI #productivity #[your field]
Competency: Knowledge engineering with AI
Description: I operate a structured 6-layer system (prompt → evolution) with documented, versioned artifacts. Average reduction of [X]% in time spent on recurring tasks in [area].
"I don't use AI as a tool I open when I need it. I operate an AI system: I have documented artifacts for each type of task, an evolution cycle that updates those artifacts with what each project teaches me, and metrics that show progress over time. It's the difference between using a calculator and having a financial process."
💡 Key concepts
portfolio piece
adaptable template
competence with a metric
vs. “I use it”
Slow User Shortcut
The one question that triggers the evolution cycle at any point.
The question that starts everything
"What do I keep repeating that could be better?"
Apply it to any recurring task. The response points to the system’s most valuable next refinement—no meeting, no methodology, no ceremony.
✗ Without the question
- • Repeat the same tasks with the same effort
- • You notice it "took a long time" but don't know why
- • Waits for a “good time” to improve the system
- • 1 year later: same speed, same effort
✓ With the question
- • Identify the most time-consuming recurring task
- • Create or update the artifact for that task
- • The next run is already better
- • 1 year later: task takes half the original time
🎯 Final exercise
List your 5 most frequent tasks that involve AI. For each one: apply the question. Choose the answer you’ve most avoided looking at. That’s your first system improvement.
to start everything
where the gain is
get started now
the latecomer who operates
You’ve reached the top of the pyramid
Those who enter at the top see complexity. Those who start with the basics understand how things evolve. You’ve done both—and now you operate a system.
🎒 The toolkit you built
Those who started with the basics understand how things evolve. Each layer you learned wasn’t accumulated information — it was added foundation. A good prompt now depends on clear intent, which depends on rich context, which is applied through a method that scales into an architecture that improves over time. You don’t have 6 tools. You have a system.
And the latecomer who operates a system in 6 months surpasses those who joined earlier and kept collecting. The compounding advantage isn’t a metaphor—it’s the mechanism.
🎯 Next step:
You’ve completed all 6 tracks. Now it’s time to prove you’ve reached the top: the Pyramid Test assesses all 6 layers with real-world case questions. The result is a shareable badge—the concrete proof that you don’t just use AI; you operate a system.