> For the complete documentation index, see [llms.txt](https://docs.micro.fun/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.micro.fun/economic-blueprint/vertical-progression-over-horizontal-farming.md). # Vertical Progression Over Horizontal Farming The ecosystem is meticulously designed to favor depth over breadth. Rather than encouraging players to farm hundreds of disposable agents, the mechanics incentivize the creation of elite operatives. The Level 30 cap, specialized Trait Trees, and high-rarity Tactical Gear ensure that a heavily invested agent is significantly more valuable than a fleet of unoptimized units. This vertical progression creates massive resource sinks where players reinvest their earnings back into their primary agents to secure a competitive edge. By focusing value into a limited number of elite units, the protocol stabilizes the secondary market and ensures that progression remains a prestigious achievement. --- # 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.micro.fun/economic-blueprint/vertical-progression-over-horizontal-farming.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.