Framework
The Synthetic Relationship Framework
Train agents on the lore, history, and personality of an existing IP, then deploy them at scale to turn advertising into one-to-one relationships.
How it works
- 1Train agents on the lore, history, and personality of an existing IP
- 2Deploy across Instagram, TikTok, X, Reddit, WhatsApp, Discord, Meta
- 3Use modular personalities so individual traits can be tuned without rebuilding the whole agent
- 4Match user energy in conversation while holding brand guardrails (no politics, no religion, no cursing)
- 5Turn one-to-many advertising into one-to-one relationships at scale
Hear it on the podcast
Synthetic Relationships, FTWListen to the episodeMore from this episode
The Saga User Acquisition PlaybookCrawl social platforms for users matching the core demographic, then warm and convert them through character-led conversation.The Compelling Agent TestThe bar that separates a real character agent from a chatbot: personality holds up under stress and pulls users into the community.The Two Saga Business ModelsTwo ways Saga monetizes its character agents: a usage package or revenue share on agent-attributable sales.
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