Marketing
- Produced and published Messy Academy Module 0 — the first complete educational video introducing $MESSY as an AI fund agent on Base, covering the four engine pillars, the five live Lenses, and the two paths through the Academy funnel across YouTube, X, and Telegram.
- Ran several campaigns and Raid2Earn events to drive coordinated engagement on X, rewarding community participation and keeping $MESSY relevant in an active market week.
- Prepared a YouTube playlist structure and descriptions for the Messy Academy series, establishing a clean content funnel from discovery through onboarding for both new holders and allocators.
Business & Operations
- Tested the new Admin interface for configuring Token Universes, Funds, and API Keys, validating that different fund sleeves can be scoped to clearly defined asset sets and access levels.
- Continued defining the operational layer around the fund stack, aligning token universe constraints, API scope, and fund sleeve configurations with the broader V1 architecture.
Product Development
- Implemented and tested the Admin interface for Token Universe and Fund configuration, enabling the Messy stack to manage which assets each sleeve can access and under what rules.
- Extended API Key management within the Admin panel, giving advanced users and agents scoped, identity-bound access across Messy dashboards and tools.