Prediction and the appearance of understanding
A fluent response can be useful without explaining how the model reached it.
Notes on making sense of the things around us
The notebook.
An independent journal about practical, bounded AI use. We explore clear requests, useful examples, and the checks that help a generated result become working material.
11 stories to explore
Build with a little more restraint
Useful experiences can begin by asking what actually needs to be sent, stored, and run.
Finding a source and generating a sentence
Retrieving information and composing an answer are different parts of an application.
Use a draft to find the next question
Generated wording can help expose a missing detail before it becomes a finished piece.
Where automation should hand back
A process needs a clear way to return an uncertain decision to a person.
Examples shape the model’s task
The choice and labeling of training data influence what a system can learn.
Shortcuts that earn their place
Learn one shortcut where it meets a task you do every day.
A small AI task with a clear stop
A bounded experiment gives both the tool and the reviewer a manageable responsibility.
A prompt that states the work
A clear request gives the output a purpose that a person can evaluate.
A benchmark measures a defined task
A score becomes meaningful through the test that produced it.
No stories here just yet.
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A small idea to take with you
Define the check before the prompt
Choose a low-stakes task and write what a useful output must contain. Name one check you can perform independently of the tool.