Tokenizing Coordination in Mixed Communities of Humans and Agentic AIs
Lucius Gregory Meredith — April 2026
Abstract: All computation and storage on the F1R3FLY platform is metered using phlogiston (phlo), convertible to the staking token REV. This paper addresses where and how tokens should be introduced into user-facing experiences when migrating Web 2.0 properties onto F1R3FLY infrastructure. The guiding principle: tokenization should be introduced at points where friction creates value—where the cost of an action serves a coordination function that improves outcomes for participants.
The principle of valuable friction
In conventional platform design, friction is the enemy. But there is a class of interactions where friction is actively valuable—where its absence produces coordination failures: spam drowns signal, free-riders consume resources, low-quality contributions dilute high-quality ones. Token-mediated friction makes coordination costs explicit and allocable, directing them to the parties who bear them rather than whoever has the least power to refuse.
F1R3FLY web properties
The paper develops tokenization designs across four properties: F1R3Sky (social networking with attention-gated feeds and reputation-weighted amplification), F1R3Eats (food delivery with priority ordering and courier reliability bonds), F1R3Tunes (music distribution), and F1R3Docs (collaborative document editing). Each property applies the same question: where is there a coordination cost that is currently externalized?
The Person of Interest model
High-profile users—artists, lawyers, physicians—face enormous demand on their attention. Token-gated access lets them establish feeds where writing privileges require token expenditure. This is not a paywall: tokens can be redistributed, staked into community pools, or burned. The result is attention management that is economically rational and socially legible.
Agentic AI as participants
The introduction of agentic AI as first-class participants in these communities transforms interface design and economic mechanics. AI agents operating in tokenized environments must manage phlogiston budgets, earn reputation through verifiable behavior, and coordinate with both human and artificial participants under the same economic rules.