A guide to the whole picture
AI
Map.
AI is easier to understand when its parts are connected. Use this map to move from how the technology works to how its claims should be evaluated—and how it can be used responsibly.
Five connected views
Choose where
you want to begin.
You do not have to follow the path in order. If you are new to AI, start with Understanding. If you already use it, begin with Evidence or Application.
AI SYSTEMCapability needs direction.How AI works
Begin with models, training, inference, agents, and the safeguards that shape their behavior.
MODEL DESIGN → TRAINING → INFERENCE → AGENTSLearn the fundamentals 02FOLLOWWhat is changing
Track important companies, models, infrastructure, and real-world adoption without following every announcement.
LABS → MODELS → INFRASTRUCTURE → ADOPTIONExplore the landscape 03COMPAREWhat the evidence says
Use multiple measurements to compare quality, cost, speed, coding ability, and human preference.
CAPABILITY → COST → SPEED → LIMITATIONSOpen the observatory 04INTERPRETWhat it means
Separate verified facts from judgment, preserve the history, and connect technical decisions to their consequences.
PRIMARY SOURCES → CONTEXT → PERSPECTIVERead the archive 05APPLYHow to use it well
Choose the right system for the work, verify important outputs, protect sensitive information, and keep people accountable.
PURPOSE → SELECTION → VERIFICATION → OVERSIGHTBuild a practical approachCapability tells us what AI can do.
Direction tells us what it should do.
The compass represents the purpose of this site: connecting technical understanding, evidence, human judgment, and responsible action.