> For the complete documentation index, see [llms.txt](https://www.isaacbowen.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://www.isaacbowen.com/2025/03/26/structural-positive-interest.md). # structural positive interest consider love as positive interest — i.e. specifically-resolved focus (a process which itself requires recognition, without which the act of *focusing* has no guide), seeking to discover additional detail, already experiencing appreciation for the detail that has not yet appeared consider *true* love as *structural* positive interest anything that is depending on anything else holding up in the next *now*, knowing that we do not have perfect knowledge of what the next now will contain, and therefore understanding that our dependencies are about to reveal additional detail (because that's what happens when novel inputs show up), might be well-served by developing love for all those first-order dependencies falling in love with whatever they surface to you, and with whatever they do not only real way to operationally optimize for the incoming unknown, right? be mindful of how much you sign up for, though I say this as an autistic person that has clear access to true love for every detail of every surface I behold odds are good you're not there yet I might be structural lubricant you might be a hinge we're all necessary :) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://www.isaacbowen.com/2025/03/26/structural-positive-interest.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.