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5 guides on Context Engineering.
What is a Semantic Layer? Definition, Examples, Spatial Rules
A semantic layer defines business terms and metrics once, so every tool gives the same answer. For location data it must also set the boundary, the distance and what counts as inside.
What is Ground Truth Data? Meaning and How to Check AI
Ground truth is information collected by direct observation at a known place and time, used as the reference standard to calibrate sensors, assess map accuracy, and train AI models. Its uses, its challenges, and how to score a model against it, with ESA WorldCover checked against 198,550 LUCAS field observations.
What is a World Model? How AI Predicts the Physical World
A world model is an AI model that predicts what happens next from the current situation and an action, so an agent can test a move before it makes one. How world models work, the main types and examples, how agents learn inside them, and how Wherobots prepares and checks the drive recordings they learn from.
What is a Context Engine? Why Physical World Data Needs One
A context engine is the system that computes, stores, and serves the context AI models and agents receive. How it works, examples, and why physical world data needs one that computes spatial relations.
What is Context Engineering for Physical AI?
Context engineering is choosing what an AI model receives at each step. How it works, how it compares to RAG, and what changes when the context is real places.
