How does an AI agent remember?
What a model can see during a task is bounded by its context window. Everything beyond that boundary must be written somewhere and retrieved on demand.
How to think about choosing an AI model
Every model is a set of trade-offs: capability, speed, cost, context length, modality, and where it runs. The right choice depends on which ones matter for your task.
What are embeddings?
How a trained model turns a word, sentence, or image into a list of numbers where distance in the space carries meaning.
What are tokens in AI?
Everything a language model measures, from context to cost, is counted in tokens.
What is a computer-use agent?
How AI operates a computer through its screen, not through code
What is a context window?
Everything a language model processes in one call is bounded by its context window, and where content sits inside that boundary shapes how reliably it gets used.
What is a reasoning model?
A reasoning model spends extra inference compute thinking before it answers. The payoff is accuracy on hard problems; the cost is latency and price.
What is a system prompt?
The instruction layer that shapes how a language model behaves before you type anything
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