Welcome to the Lab.
Monkeys in training.
MOONKEY LAB trains operators who learn to build with AI systematically. We call them Monkeys: agile, curious learners and builders of real systems.
You don't complete modules.
You evolve within the jungle.
THE JUNGLE IS GROWING
Every operator who completes the path leaves a signal for the next one.
MOONKEY LAB isn't a list of modules: it's a jungle of agents learning to operate real systems.
3
Progress Keys
26
Hands-on modules
0
Code required
100%
Based on deliverables
MOONKEY LAB is XNLAB's AI operator laboratory.
Ranks aren't self-declared: they're validated by XNLAB.
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Operators
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Monkey
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Gorilla
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Panda
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Founder
Ranks are assigned by XNLAB based on real progress in the Operator Path. They aren't self-declared.
Monkey
In training
Builds the foundations. Every completed module leaves a trail in the jungle.
Gorilla
Executes with force
Operates complex systems. Architecture, debugging, deploy without supervision.
Panda
Masters their system
Full autonomy. Their own prompt system, delegable workflows.
Symbolic roles — visual narrative, not current operational ranks.
Lion
Leads
Coordinates operators, leads working cells, and holds the strategic direction of the ecosystem.
Elephant
Founder Archetype
Living memory of the ecosystem. Mother architecture. The one who built the jungle so others can learn.
Visual recognition system — next phase of gamification.
Owl — Strategy
Systems thinking. Sees the forest, not just the tree.
Fox — Hidden paths
Finds routes others don't see.
Jaguar — Speed
Fast execution. From prompt to system in record time.
Bee — Collaboration
Pollinates ideas. Shares what works.
Spore — Expansion
Spreads knowledge. Every output is a seed.
Key — Unlock
Opens new paths when you complete a level.
SPORE EFFECT
When an operator advances, they don't just unlock content: they leave a clearer route for someone else to join, learn, and rise in rank.
Systematic
Doesn't improvise. Builds with structure. Every level has real exercises and concrete deliverables.
Builder
Doesn't memorize theory. Makes things. Training is measured in files created and systems that work.
In progression
Starts at Level 1 and unlocks Keys as they complete the work. No shortcuts.
Ecosystem
Monkeys who complete the school can collaborate with the MOONKEY XN ecosystem.
KEY MINDSET
A Monkey doesn't expect AI to be perfect. They learn to guide it, correct it, and build systems that work in the real world, not in demos.
Every completed level unlocks a Key. The Keys are the record of the Operator Path — the training path of the MOONKEY XN methodology.
8 módulos
Operator Foundations
Working environment, CLAUDE.md, GitHub, operational prompts, and your first automation.
10 módulos
Advanced Operator
Architecture, debugging, refactors, MCPs, deploy, and advanced operational documentation.
8 módulos
Migration Master
Context migrated from ChatGPT, your own prompt system, and documented operational workflows.
Complete the 3 Keys.
Become a Moonkey.
A Moonkey is an operator who has completed all three training levels and can work with AI autonomously, with documentation and in a systematic way. The foundation for collaborating with the MOONKEY XN ecosystem or implementing your own systems.
KEY 1
Operator Foundations
Environment · CLAUDE.md · Prompts
KEY 2
Advanced Operator
Architecture · Debug · Deploy
KEY 3
Migration Master
Migrate · Systematize · Delegate
Monkeys who complete the Operator Path are in the best position to join the MOONKEY XN ecosystem when collaboration opportunities open up.
First profiles in training.
Initial phaseMOONKEY LAB is in its initial phase. There's no established community yet: there's a pilot program with the first profiles advancing through the Operator Path.
The goal is simple: for the first Monkeys to complete the journey, deliver real feedback, and help fine-tune the system before it scales.
WHAT WE EXPECT FROM A PILOT MONKEY
Progress through Level 1 without skipping modules
Mark real progress when completing each section
Deliver clear feedback when something isn't well explained
Catch confusion before the AI amplifies it
Test the Arsenal prompts on real projects
Document what you learned, even if just in your own note
What we build
- — Documented systems that work without supervision
- — CLAUDE.md that Claude Code understands and respects
- — Prompts structured as ROLE · TASK · FORMAT · LIMIT
- — Workflows delegable to autonomous agents
- — Knowledge migrated and organized from other models
What we avoid
- × Using AI as a glorified search engine
- × Relying on the chat without structure
- × Building without documenting
- × Automating without understanding the process
- × Migrating without judgment