can a url influence an llm's output?

At first, this was a really easy post to write, but then I discovered some things. Built a lot of things. Spent a lot of tokens… And it became one of the hardest, longest, and most expensive posts I’ve done (the API costs were not small). I’ve had this thing on my mind for ages and it started when I was thinking about how the mere presence of a technology name in a prompt seemed to bias the output to that technology. For example, I looked through a number of system prompts for Agentic tooling and they would include text like (e.g. React) and then it felt like these tools would output React code vs a similar prompt that didn’t mention React. I’ve spent the last few weeks running experiments to scratch this itch. But before I get too far, I have a request for help. I’m not a researcher. I think what I have here is compelling information (or at least it taught me something), but I might have made a lot of mistakes or made assumptions that have biased the output. If you have any advice I…