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Futarchy markets provide superior structural agent scoping mechanism compared to human researcher judgment through incentive alignment
In autoresearch workflows, the human role becomes 'workflow architect' who must judge what's worth exploring. Living Capital's futarchy structure replaces this single-point-of-failure judgment with market-based scoping. Markets scope the decision, agents implement the analysis. This represents a str
AI agents reliably execute scoped tasks but fail at creative experiment design requiring human strategic direction (structural limitation)
Analysis of autoresearch workflows reveals a **structural capability boundary**: agents execute well-defined tasks reliably but consistently fail at creative experiment design. This maps to a division of labor where humans (or futarchy markets) must set strategic direction and creative framing, whil
Functional capital feedback loops provide richer agent training signal than research validation when tightened through intermediate hypothesis testing, particularly for functional improvements
Autoresearch agents improve through iteration on concrete outputs, but Living Agents have access to a fundamentally richer feedback signal for *functional* improvements: real investment outcomes over weeks and years. This functional capital feedback loop provides more meaningful validation than most