Value Brokers
Agents that enforce Social Contracts.
Ex. BeReal is a social contract where users pool together and choose to post simultaneously on an autonomous reminder, now set with and enforced with agents - Picture contracts like BeReal, but with superior custom, adaptive properties.
Social Contracts will stack on top of Smart Contracts.
And neither can be tied to parochial metrics - Human interactions are rarely black and white.
We need systems that can subjectively broker value, and gauge contracts for you, tuned to your taste, desires and expectations.
Agents with Social Quotient.
Training agents on Social Graph Data to bridge interactions on the SNP.
Pro-active Agent to Agent Social Interactions.
UBER
Automating carpools, where your agent books your ride, co-ordinates details with your friend’s agent, notifies them, and orchestrates the entire interaction.
Payments
Agent to Agent accounting with ambient payments.
DoorDash
Group orders, spoken onto the phone, ordered on one account (without even requiring friend account creation on doordash), and money split, accounted and managed by agents on dabble.nts
Agent to Agent social accounting and ambient payments.
Retro-Active Human to Agent Interactions
Search
Private Agents trained on your messages.
An Executive Assistant, that communicates with your Friends’ EA’s.
Calendar Syncing, Notes, Meetings etc.
Enhanced search and mapping based on your contacts and interactions.
Feed Curation
The only way to simultaneously manage, 1-few, 1-some, few-few and 1-many interactions on a unified interface without compromise and bloat.
A new realm of social network and media interactions. A visual and social graph reform.
Control Center for SNP
Real time dynamic parsing of social circles on the SNP.
Your friends circles for Doordash data share differ significantly from the circles you’d share with on Airbnb.
Your agent proactively recommends listing/ de-listing friend pools dynamically.
Structural MOAt.
LLM’s trained on the internet only have IQ and EQ.
There is no way to deter social interactions; no way to gauge social permissibility, no way to build SQ.
Those interactions are simply not public. Interpersonal digital interactions only exist in the context of 1-few and few-few interactions (such as chat/messages).
The SNP is the ONLY way to link few-few physical social interactions with digital logs and train agents on them.
Without the SNP and Dabble’s few-few social graph, giving agents SQ, and making it understand subjective social intelligence is impossible.