A Repeatable AI Research Workflow: From Question to Verified Brief
A disciplined research process that uses AI for planning and synthesis while keeping every important claim tied to evidence you have checked.
The AI literacy field guide
Smarter work starts with understanding.
Plain-language guides that explain how AI actually works, how to instruct it precisely, and how to check what it gives back — without the hype.
AI prompt improver
Latest articles
All 25 articlesHow to Summarise Long Documents with AI Without Missing What Matters
A practical, source-grounded workflow for turning long documents into reliable summaries while preserving caveats, contradictions and important detail.
AI Meeting Notes: A Safe Workflow from Transcript to Action Items
A careful end-to-end method for using AI to draft meeting notes without inventing decisions, owners or deadlines.
Prompting for Structured Output: JSON, Tables and Schemas
Learn how to prompt AI for dependable JSON, tables and schema-based responses, then validate the results before they enter your workflow.
Transformers vs RNNs: Why Attention Changed Machine Learning
Transformers changed machine learning by making relationships between tokens easier to learn at scale, but understanding their advantages means looking closely at what recurrent networks do well, where attention helps and what it still cannot solve.
What Is a Context Window and Why It Limits What AI Can Do
A context window determines how much information an AI model can work with at once, but using that space well matters as much as its size.
Four topics, deliberately
We cover a narrow subject properly rather than a wide one thinly.
AI Fundamentals
Plain-language explanations of how modern AI systems work, what the common terms mean, and where these systems are unreliable.
Read this topicPrompting
How to turn a vague request into a clear task, supply context and constraints, and judge whether an answer is actually useful.
Read this topicPractical Workflows
Repeatable ways to use AI for studying, summarising, writing and planning, with the checking steps included.
Read this topicResponsible AI
Privacy, bias, disclosure and academic honesty: the judgement calls that come with using these tools.
Read this topicA beginner learning path
Beginner
AI Foundations for Beginners
Build a clear mental model of modern AI, from tokens and attention to training, hallucinations and context windows.
Beginner to intermediate
Prompting: From Basics to Reliable Results
Learn a practical progression from role and few-shot prompts to structured outputs, verification and multi-step prompt chains.
Practical
Practical AI Workflows
Apply AI to research, documents and meetings using repeatable processes that preserve evidence, privacy and human judgement.
How this publication works
- Every article names what was checked and the date it was checked.
- Claims about a tool come from that provider's own current documentation.
- A person verifies facts, sources and examples before anything is published.
- Hypothetical examples are labelled; we never present them as tests we ran.