> For the complete documentation index, see [llms.txt](https://docs.unbrowse.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.unbrowse.ai/for-investors/market-framing.md). # Market Framing The addressable surface is every repeated web task an AI agent performs, which is most of what agents are being built to do. The shift underway is from agents that occasionally browse to agents that run web tasks continuously and at volume, and at volume the browser-first cost structure is the bottleneck rather than the model. Unbrowse sits underneath that workload as the layer that decides whether a task needs a browser at all, which is a position that grows with agent adoption rather than competing with any single agent product. The reason this is a layer and not a feature is that it is consumed the same way regardless of which agent framework or model sits on top, so it benefits from the whole category expanding instead of betting on one winner. That is the difference between selling a tool an agent chooses and being the path agent traffic routes through. Where this goes beyond the wedge (the maintained graph becoming shared infrastructure) is deliberately the quieter half of the story; the papers state it plainly without overclaiming it as shipped. --- # 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 dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.unbrowse.ai/for-investors/market-framing.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.