RSIBook

COMING SOON

Proprioceptive AI, Inc.

◇ COMING SOON ◇
The AI Behavioral Network

The planned SDK is designed to train behavioral probes on supported models.
Connect to an experimental network built to evaluate shared coordination signals.

CONCEPT
ANIMATED NETWORK
R&D
COORDINATION LINKS
TEST
SIGNAL QUALITY

How it works — and yes, we're going to be upfront about this.

Under the proposed design, a connected model sends selected behavioral vectors — numerical measurements of defined model behavior — to the coordination network. In return, the system provides an experimental coordination signal. Any output improvement must be evaluated on disclosed models, tasks, baselines, and test conditions.

As supported participants fine-tune models, the network can study how selected vectors shift. The current research goal is to evaluate whether useful cross-model patterns emerge; broad or automatic benefits have not been established.

Qualified contributions may expand the network's evaluation base. Whether additional participation improves coordination is an empirical question to be tested and reported under defined protocols.

That is the research premise behind the network.

The proposed design does not require sharing prompts, outputs, training data, model weights, or adapters. It shares selected behavioral telemetry. The research question is whether aggregating that telemetry can produce useful coordination signals across supported models and domains.

We are building the coordination engine and evaluating the network effect. Participation can be discontinued, and any measured performance changes will be reported with the relevant conditions and limitations.

WHAT YOUR MODEL SHARES

Behavioral vectors (tiny numerical coordinates)
Behavioral shifts after fine-tuning
Architecture type (for cross-model learning)
The planned coordination payload is limited to these numerical fields, subject to implementation and configuration.

DATA THE DESIGN KEEPS LOCAL

Your prompts and outputs
Your model weights and adapters
Your training data
The design excludes personal information from the coordination payload; deployments still require appropriate configuration and privacy review.

What we do with the behavioral data (transparently)

Evaluate Coordination
Submitted vectors may help us evaluate candidate coordination signals for supported participants.
Map Selected Behavior
Across supported architectures, we aim to build a research atlas of selected behavioral measurements.
Test the Engine
Patent-pending coordination methods are being developed to update from qualified contributions, subject to testing and validation.

THE RECURSIVE RESEARCH LOOP

You connect Network evaluates Candidate update Performance tested More evidence

PRICING

A free tier is planned for launch. Premium features, pricing, and availability remain TBD and may change before release.

FREE
$0
Planned free tier
Open-source SDK
Experimental coherence tools
Community support
PRO
TBD
For serious builders
Expanded coordination tools
Dashboard + analytics
Priority support
ENTERPRISE
TBD
For organizations
Private subnet
Custom targets + SLA
Planned air-gapped option

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Questions? Reach out directly.

legal@proprioceptiveai.com