"The normative form for interacting with what we think of as "AI" is something like this: there's a chat you type a question you wait for a few seconds you start seeing an answer. you start reading it you read or scan some more tens of seconds longer, while the rest of the response appears you maybe study the response in more detail you respond the loop continues"
"If you do this all day... you probably need to subscribe to the service. Each query costs real money to produce (as opposed to the standard expectation for web services, which is "virtually free"). Coders use a slightly different version of this, where they connect the documents they're working on to the AI so the AI can operate directly upon them. And then they only do the typing & reviewing part on the order of every minutes, instead."
Chat-based AI interaction typically involves asking a question, waiting for a response, reading and reviewing streaming output, and then replying, forming a cyclical loop. Continuous use of that loop incurs per-query monetary cost, unlike typical web services, and developers often integrate document access so models operate directly on files. A good tool prioritizes low latency because smaller feedback loops enable faster iteration and fewer errors. Latency varies by process: long feedback for film-making versus immediate responsiveness for typing. Overall, reducing latency improves usability and decreases the chance of mistakes.
Read at v buckenham
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