AI + Digital Foundations
AI literacy, operating systems, networking, Git and safe AI collaboration.
HUMAN INTELLIGENCE × ARTIFICIAL INTELLIGENCE
Learn it. Build it.
Break it. Fix it. Master it.
KiTT builds a living roadmap around your destination, experience, time, language and resources. You stay in the driver's seat. KiTT rides with you.
DestinationAI Automation Engineer
Mastery37%
Human Execution71%
Current LevelFoundation 4
YOUR LIVING ROADMAP
Automation Builder
Python, PowerShell, APIs, Ansible and practical automation missions.
Infrastructure as Code
Terraform, Packer, Vault, VMware, AWS/Azure/GCP/Oracle and CI/CD.
Cloud + SRE
Containers, Kubernetes, observability, reliability, deployment and teardown.
Private AI Infrastructure
CPU/GPU/VRAM, Ollama, Qwen, model serving, RAG, TLS and air-gapped AI.
Build Something Real
Deploy a hardened platform, application, AI service or business automation and defend your design.
REALITY ENGINE · EVIDENCE BEFORE CAPITAL
Should this idea be built, funded or stopped?
KiTT helps surface assumptions instead of rubber-stamping ideas. Use it for a business, cloud architecture, app, AI system, automation project or investment experiment.
UnderstandVerifyModelStress TestCompareLimit DownsideExperimentMeasureScale / Stop
Agent rule: simulated transactions first; real money requires explicit authorization, spending ceilings, allowlists, logs and circuit breakers. No system can guarantee profitable trades or zero losses.
MISSIONS · NOT PASSIVE VIDEOS
Capability is the goal.
1
Build it
Deploy a working service, script, app, server or business asset.
2
Break it intentionally
Learn what failure looks like and why it happened.
3
Troubleshoot it
KiTT coaches instead of immediately giving away the answer.
4
Prove mastery
Repeat independently, explain your reasoning and add the result to your portfolio.
PERSONALIZE KITT
Where are you going?
KiTT will adapt your path instead of forcing everyone through the same curriculum.
AMPLIFIED AI ACADEMY · PRODUCTION COMPOSITION
From concept to production harness.
Advanced missions teach how systems compose: pre-retrieval → retrieval → filtering → scoring → reranking → context → model → agents/tools → state → verification → evaluation.
LLM FUNDAMENTALSEMBEDDINGSHYBRID RAGRERANKINGFINE-TUNINGAGENT HARNESSTOOL REGISTRYSTATE / MEMORYEVALUATIONLLMOPS
LAB MODES · SAME SKILL, DIFFERENT CONSTRAINTS
Garage → Professional → Enterprise → Air-Gapped.
Garage Lab
Browser, old laptop/workstation, Python, open source, Ollama/Qwen where hardware permits.
Private AI Builder
GPU, Podman/K3s, APIs, vector data, IaC, CI/CD, observability and backups.
Production Platform
HA orchestration, identity/RBAC, model serving, evaluation, security and lifecycle management.
Air-Gapped AI
Artifact promotion, dependency mirrors, offline registries, TLS, patching and controlled updates.