Thesis6 min read
Why AI's next era needs a personal intelligence layer
Every service that rebuilds a person's context creates another dependency. A persistent layer removes the need to rebuild it at all.
Read the article →INSIGHTS
Working notes on the architecture of personal AI.
Prifina is building the personal data and intelligence layer for AI's next era. This is where the reasoning behind it gets written down.
What is different: these are arguments and open questions, not product announcements. What to do next: read the thesis for the full case.
PUBLISHED
Latest writing.
Research5 min read
From centralized data to intelligence that learns with individuals
The first era learned from pooled records. The next level may require learning alongside a person whose record never moves.
Read the article →Technology5 min read
Where should a personal AI request be processed?
Storage and processing are different choices. Treating them as one hides the decision that matters most.
Read the article →Company4 min read
How Souvéa and AI Twin test the Prifina foundation
Prifina builds the foundation. Souvéa works for you. AI Twin represents you. Two products, one set of principles.
Read the article →IN PREPARATION
What we are writing next.
These pieces are drafted and awaiting publication. We do not attach an author or a date to anything until it is actually published.
ThesisIn preparation
Model choice means little without control of the data relationship
Swapping models is easy. Swapping the platform that holds your history, permissions and relationships is not.
TechnologyIn preparation
Shared spaces: collaboration without dissolving the personal boundary
A group can hold shared context without any member handing over their whole personal space.
TechnologyIn preparation
Why governed AI agents need permissions and provenance
An agent that cannot show its scope or its sources cannot be trusted with a person's context.
NEXT