Authority is not a fallback
Human oversight should not exist as an emergency brake. Authority must be a first-class component of the system explicitly designed, continuously present, and invoked by structure rather than failure.
Research Preview v0.9
Infrastructure for
Human–AI Collaboration
We build the coordination layer that defines how humans intervene when AI systems make real decisions. Beyond chat interfaces, toward structured authority, accountability, and control.
Join the Waitlist 01. The Problem
The Intervention Gap
Most AI systems today operate without a principled notion of human intervention. An agent either executes a task autonomously—often with unexamined assumptions—or fails without escalation. There is no structured, semantic way for AI systems to request human judgment at the moment it matters.
This creates an intervention gap:
decisions are made without clear authority, responsibility is assigned retroactively, and human involvement remains ad-hoc.
In real-world deployment, this gap produces brittleness, not intelligence.
Anthrovix addresses this by building protocols that prioritize legibility, escalation, and accountability over raw autonomy or speed.
Protocol Router
Core Principles
v1.0.4Coordination beats replacement
The objective is not to replace human cognition, but to coordinate with it. Anthrovix builds systems that preserve intent, distribute judgment, and extend human decision-making rather than automating it away.
Legibility precedes scale
Systems that cannot surface their internal state cannot be trusted at scale. Anthrovix treats legibility as a prerequisite: decisions, context, and escalation paths must be explicit before they can be scaled.
import { Protocol } from '@anthrovix/core';
// Initialize strict oversight
const guard = new Protocol({
mode: 'collaborative',
escalation_threshold: 0.85
});Start with Structure
We are currently working with a select group of partners in finance and healthcare to deploy verifiable agentic workflows.
Join the Waitlist