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Articles worth your time.

Explanations of evolving technology, practical tutorials, and tools for reading information critically.

ARTIFICIAL INTELLIGENCE · 14 MIN READ

AI agents explained: from prompt to plan, tools, and supervised action

A practical model of how agents differ from chatbots and workflows, where they help, and how to keep their actions observable and controlled.

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ARTIFICIAL INTELLIGENCE · 15 MIN READ

RAG explained: how AI finds evidence before it answers

Understand chunking, embeddings, hybrid retrieval, reranking, citations, and the failure modes that separate a useful RAG system from a document demo.

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DATA WORKFLOW · 13 MIN READ

Spreadsheet, SQL, or Python? Choose the right tool for each data job

A decision guide for exploration, shared records, repeatable analysis, and the points where one tool should hand work to another.

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TECHNOLOGY · 8 MIN READ

AI answers in search: a faster starting point, not the final source

How AI search summaries change the research workflow and how to follow their supporting links.

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TUTORIAL · 8 MIN READ

Your first Python program: input, variables, and output

Build a tiny calculator and learn to read what each line does.

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TECHNOLOGY · 7 MIN READ

Passkeys explained: why sign-in is changing

Learn what a passkey stores, why a fake website cannot use it like a stolen password, and what recovery still matters.

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ARTIFICIAL INTELLIGENCE · 7 MIN READ

What can AI actually do? A practical beginner’s guide

Understand pattern-based prediction, useful applications, and the limits to check before trusting an output.

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DIGITAL LITERACY · 6 MIN READ

How to check online information before you share it

A repeatable process for tracing claims, dates, sources, and missing context.

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PYTHON BASICS · 7 MIN READ

Python lists vs tuples: when does the difference matter?

A practical guide to mutability, ordering, and choosing the right container in everyday code.

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DATA WORKFLOW · 8 MIN READ

Read a CSV in Python without losing track of your data

Load a small file, inspect its columns, and handle the two common surprises: delimiters and missing values.

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STATISTICS · 6 MIN READ

Mean or median? A five-number example with an outlier

See why one unusual value can shift the average and how to choose a useful summary.

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