Practical AI.
Clearly explained.
Research, field guides and useful tools for putting AI to work.
01 / Field guide
Open models. Understood.
Llama, Gemma and DeepSeek—from training to the application you run.
Follow your curiosity.
01Open models. Understood.
Llama, Gemma and DeepSeek—from training to the application you run.
Read 02Where AI earns its place
Four questions for finding a useful first experiment.
Read 03A better brief. A better answer.
Build a brief that gives an answer something to stand on.
Read 04Agents need boundaries
Understand the boundary between preparing an answer and taking an action.
Read 05Ask your documents. Follow the evidence.
Follow a question from search to a passage you can inspect.
Read 06Your data has a route
Local, cloud and hybrid are starting points—not privacy guarantees.
Read 07Good enough needs a test
Separate a convincing demo from evidence about a workflow.
Read 08A claim is not a finding
Keep observations, interpretations and decisions connected to evidence.
Read 09Give the pilot somewhere to land
A small experiment should end with a defensible decision.
Read 10Cheap tokens. Expensive work?
Measure what a useful result costs, including the checking.
Read 11Seven questions to ask anyone selling you AI services
Ask for evidence, understand the gaps and put a cost on failure.
Read11 briefings
Sources first.
Useful by design.
Readable explanations, inspectable sources and tools you can take into your own work. Our examples are clearly labelled; our downloads are freely available. Each briefing includes its scope and the evidence behind its technical explanations.