NAMELESS Blog
Plain-language notes on how AI assistants handle context, memory, and actions, written while NAMELESS is still in training.
· 3 min read
What is an AI context window? Why assistants forget
A context window is how much text an AI model can consider at once. Learn why long chats drift, what forgetting really is, and how to work around it.
· 3 min read
AI memory vs. context: what is the difference?
Context is what an AI can see right now; memory is what persists between chats. Compare how assistants remember, and what to ask before you trust one.
· 3 min read
Why an AI agent should ask before it acts
AI agents run commands and edit files, so mistakes have real effects. These are the approval principles behind the NAMELESS agent workspace.
· 5 min read
What is a token in AI? How models read your text
Tokens are the chunks of text an AI model reads and writes. Learn how tokenizers split words, why counts differ, and how tokens affect cost and limits.
· 4 min read
How to summarize a long document with AI, step by step
Summarizing a long document in one go often drops details. Use this seven-step method to split, summarize, quote, and check what an AI tells you.
· 4 min read
AI agents vs. chatbots: what is the difference?
A chatbot replies; an agent plans, uses tools, and acts over many steps. Learn how the loop works, what can go wrong, and what to ask before trusting one.
· 4 min read
RAG vs. long context: which does your AI need?
RAG searches for the right passages; long context puts the whole document in the prompt. Compare strengths, failure modes, and when to use each approach.
· 4 min read
Why AI makes things up, and how to catch it
AI hallucinations are fluent, confident, and wrong. Learn why language models invent facts and citations, and the habits that help you catch it.
· 3 min read
A practical checklist for writing better AI prompts
Vague prompts get vague answers. Use this checklist of task, audience, context, constraints, and format to get clearer, more useful AI responses.
· 4 min read
What to check before sharing data with an AI assistant
Before you paste something into an AI assistant, know what is stored, who can read it, and whether it trains models. A checklist of questions and habits.
· 4 min read
How to let an AI edit your code without losing work
A safe workflow for AI coding assistants and agents: version control, small tasks, reading the diff, tests, and approving commands one at a time.
· 4 min read
Scheduled AI tasks: what to automate, what to keep manual
Recurring AI tasks save time and repeat their mistakes. Learn which tasks suit a schedule, which do not, and the guard rails to look for first.
· 3 min read
How to use AI for research without fooling yourself
A research method for AI assistants: vary your search angles, extract claims with quotes, check sources, and keep evidence gaps visible in your notes.