An outlier is a question first
An unusual value deserves context before it is removed or celebrated.
A clear-eyed view of useful AI
A clearerperspective onuseful AI.
Thoughtful essays on prompts, models, evidence, and the decisions around everyday AI use.
Open the fieldbook Understand the idea behind the tool.
01 A closer look
One foundation in clearer context.
Context is an input with a boundary
A tool can only use the information actually available to its current process.
02 The fieldbook
The ideas behind an AI result.
Examples shape the model’s task
The choice and labeling of training data influence what a system can learn.
Notes you can find again
A note becomes more useful when it has enough context to survive the moment.
03 Keep exploring
Ask another question about the process.
A benchmark measures a defined task
A score becomes meaningful through the test that produced it.
A dashboard with a question beside it
A useful collection of charts makes its purpose easier to see.
Check an AI answer in pieces
A structured review can make a large response easier to assess.
04 Our point of view
Clearer mechanisms.
Better questions.
A journal about the foundations of everyday AI. We explore models, context, and evaluation in language that connects a technical idea with a practical question.
Our point of view01
Begin with a bounded task
Choose a purpose whose result can be understood and reviewed.
02
Inspect the evidence
Fluent output should not substitute for a check of the underlying claim.
03
Keep responsibility clear
Understand which decisions remain with the people using and designing the tool.
A small idea to take with you
Separate two parts of the process
Choose an AI application and distinguish its input, model output, and any retrieved sources. Which part would you need to inspect for your task?