Estate AI and Natural Capital
AI that runs on your land, not someone else's data centre
Locally run and smaller adapted AI systems can support estate compliance and MRV while making compute cost and carbon more visible.
Opinions Tag
Model Upskilling
6 posts
Teaching Smaller Models
Cutting AI cost without cutting capability
Model upskilling gives businesses a way to reserve expensive models for teaching, exceptions, and genuinely complex work.
Teaching Smaller Models
From prompting to model upskilling
The next operating discipline is teaching smaller models to carry repeatable reasoning inside governed agentic systems.
Teaching Smaller Models
Large models as teachers, smaller models as operators
Frontier models are often best used briefly and deliberately, so smaller models can carry routine work at lower cost.
Teaching Smaller Models
Reducing AI carbon by moving reasoning closer to the work
Smaller adapted models can reduce unnecessary inference overhead when they are used for well-specified, repeatable tasks.
Teaching Smaller Models
Why smaller models need teachers
Smaller models do not need to know everything. They need to be taught the task, the business, and the boundary conditions.