@SagaAILabs

Pioneering Synthetic Relationships.

saga.xyz
Joined September 2021
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Today, Saga becomes Saga AI Labs. Pioneering Synthetic Relationships: Character AI Agents as a growth channel. We build Character AI Agents: autonomous digital actors with real personalities that interact with audiences, create content, and form lasting relationships, wherever fans already are. Saga's blockchain network has transitioned to independent stewardship under Alapin Holdings part of the @daofive family. Welcome to Saga AI Labs.
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we're building around a simple idea: the internet should probably remember the people who keep showing up
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Most personalization is just segmentation with better manners. You looked at running shoes, so now you get running shoe ads. You bought something six months ago, so an email sticks your first name at the top. Useful sometimes. Personal is probably overstating it. ↓
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Those two ideas sound pretty close when you put them on a slide. In practice we don't think they're close at all.
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everyone talks about memory like it's storage. most of the work is deciding what actually matters enough to remember
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Most brand voice guides were written for a world where the brand speaks and everyone else listens. Here's the tone. Here are the approved words. Don't say this. Use this emoji sparingly. Fine for a caption. A lot less useful once the brand can actually have a conversation. ↓
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So we think "brand voice" is going to mean something much bigger than writing style. Once the brand talks back, voice becomes behavior. That's a harder thing to build. Also a much more interesting one.
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we're heading toward an internet with a lot more persistent identities living on top of it
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the more capable models get, the more important taste becomes
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Distribution used to mean putting something somewhere and hoping the right people found it. Buy the placement, post the content, rank in search, get into the feed. We're starting to think about distribution a little differently. ↓
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But the underlying idea feels hard to unsee once you see it. Distribution doesn't necessarily have to mean pushing more content into the feed. Sometimes it can mean going to where the conversation already started.
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