CHAPTER 4: ATTENTION CAPTURE AND AUDIENCE ENGINEERING
Fig. 1 — Stream Production Setup
1. THEORETICAL FRAMEWORK
Fat Cat operates on a two-mechanism system designed for sustainable attention capture: Retention (The Cult) maintains engagement between major events, while Attention (Brainrot + Spectacles) generates spikes that bring new participants into the ecosystem.
1.1 The Retention Layer (The Cult)
Discord community with party membership, elections, and insider lore
Keeps existing holders engaged between major spectacles
Creates "true believers" who defend, evangelize, and generate content
Provides infrastructure for UGC, memes, and community coordination
1.2 The Attention Layer (Brainrot + Spectacles)
3D motion capture brainrot content = high-volume, algorithm-optimized viral clips
IRL spectacles = punctuated "events" that reset attention and prove team capability
Both mechanisms feed the content machine that brings new participants in
1.3 The Flywheel Cycle
Build cult of insiders: Seed early believers drawn in by aesthetics, lore, and team credibility
IRL spectacle happens: Event-driven attention spike proves team can deliver
Gets clipped into viral content: Extends attention window, generates 20-50 clips per spectacle
Content spreads algorithmically: TikTok/Twitter reach brings new eyeballs
New people join the cult: Convert attention to holders, existing cult welcomes and onboards
Cult generates UGC during waiting period: Maintains baseline attention between events
Next spectacle hits: Cycle repeats, escalating each time
2. VIRTUAL CHARACTER STRATEGIC ADVANTAGES
Using a virtual character instead of a real person provides critical strategic advantages:
Superior memetic interface: Creates clean, consistent visual assets ideal for screenshots, overlays, and social media content that can be endlessly remixed
Strong signature aesthetic: Develops instantly recognizable branding that cuts through noise in viral content and builds immediate association
Talent flexibility: Allows rotation of different actors and characters without breaking continuity, preventing dependency on any single performer
Narrative alignment: Directly reinforces overarching themes about AI takeovers, technological chaos, and internet culture
IRL confusion factor: Freaks people out in street interactions who encounter a live-reacting virtual character through a physical portal
3. ENGAGEMENT TYPOLOGY AND USER SEGMENTATION
Audience members are categorized by engagement depth:
Casual Viewers: Encounter clips through algorithmic distribution, no community ties
Repeat Viewers: Tune into streams occasionally, follow social accounts
Community Members: Join Discord, participate in discussions, adopt PFP
True Believers (The Cult): Generate UGC, evangelize, defend against critics, hold tokens
VIPs/Whales: High-influence community members who amplify and legitimize
4. CONTENT VELOCITY AND ALGORITHMIC OPTIMIZATION
Target clip generation rates:
Minimum 20 clips per week during Phase 1
Scale to 35 clips per week by Month 2
Target 50+ clips per week by Month 3
Each clip is optimized for platform-specific distribution (TikTok, Twitter/X, YouTube Shorts) with appropriate hooks, duration, and formatting.
5. COMMUNITY FORMATION PROTOCOLS
Community formation follows a specific sequence:
Initial attention capture through viral content or spectacle
Participation encouragement (posting, not lurking)
UGC generation and community contribution
6. RITUAL AND HABIT LOOP DESIGN
Regular stream schedule creates habitual viewing patterns. Target: daily streams at consistent time (12:00 PM PST) to establish viewing ritual.
7. CONTROVERSY MANAGEMENT AND CONTROLLED PROVOCATION
Fat Cat's character is designed to provoke without crossing platform lines. Controlled controversy generates engagement and clips while maintaining plausible deniability through the character layer.
