
Interaction Is Not Interface
Applications have been the center of software. AI gives us a chance to put the person, their role, and their goal there instead.


Applications have been the center of software. AI gives us a chance to put the person, their role, and their goal there instead.


Why do businesses have to rewrite working systems just to keep the same reports, approvals, and invoices running?


Our systems already disagree about what things mean. Inferal is designing for a million small ontologies that make those differences explicit enough to act on.


Rules make business logic visible. Implication graphs make consequences traceable. That difference matters when every operational decision has a downstream path.


The principle everyone agrees on. The application everyone gets wrong. What if data and code were never separate concerns?


What if conventional hiring has the priority order backwards?


Most rule engines failed to gain adoption because database integration was weak. In today's fragmented data landscape, getting data in and decisions out isn't optional. It's the foundation.


Temporal, DBOS, Windmill, and Lambda Durable Functions solve state durability. But code itself is the problem: workflows aren't sequences you build. They emerge from conditions. And code can't express emergence.


Traditional databases follow a request-response pattern that leaves agents waiting, ignorant, and inactive. Agent-native systems flip this model.
