Disclaimer: This is an independent academic and engineering research project inspired by the concepts of Objective Personality. This site is not affiliated with, endorsed by, or officially connected to ObjectivePersonality.com, its founders, or its business. All trademarks and references belong to their respective owners.
What is this?
Objective Personality (OP)
is a framework for describing recurring human behavior patterns under stress and uncertainty.
This project explores how AI can support objective observation of those patterns by assisting the operator in noticing blind spots, biases, and overlooked signals.
We are developing a local, multimodal AI assistant that acts as a second observer during interviews and conversations.
The system helps with triangulation by suggesting hypotheses and highlighting key moments in the client's statements.
The assistant helps identify areas that the operator might miss due to fatigue, subjectivity, and projection.
Why?
Human perception is inherently subjective. Even trained professionals are affected by cultural and cognitive biases, subjectivity and projections.
OP provides a language for noticing these dynamics, but applying it consistently is difficult at scale.
The goal of this project is not to type people at scale, but to increase objectivity in high-stakes human interactions.
By supporting operators with a neutral, always-on observer, we aim to reduce blind spots, improve calibration, and create safer environments for insight, responsibility, and growth.
Triangulation: Build AI tools that assist human operators.
Bias Reduction: Help detect projection, overfitting, and missed cues in human judgment.
Evidence-Aware AI: Provide transparent signals and references instead of opaque conclusions.
Privacy by Design: Ensure sensitive data never leaves the local machine using privacy-preserving ML.
Our Works
We're actively building the foundation of our AI toolset, gathering the data necessary for training, experimenting
with various machine learning models, and building the privacy component. See progress.
Career patterns
A protocol for discovering recurring patterns and loops in career paths.
Goal: Help people choose a more balanced, demanding, but realistic career path.
Focus: Surface recurring decision patterns, blind spots, and long-term consequences in a person's career path.
Approach: Combine human observation, AI-assisted triangulation, and personality-informed reflection into a practical decision-support tool.
Outcome: Give users clearer self-understanding and more grounded direction for future career choices.
Status: In active development as an applied self-reflection module within the broader OP.ai ecosystem.
TypeMatch
Objective profiling matches for casting and dating agencies.
TypeMatch is designed to help casting teams and dating agencies make more informed matches using objective personality profiling.
The system focuses on pattern compatibility, communication dynamics, and likely friction points rather than superficial labels.
It extends our research into a practical decision-support layer for industries where interpersonal fit has outsized consequences.
OnlyTypes
Social overlays and personality context for online content.
Onlytypes helps users consume social media through the lens of objective personality.
The product overlays personality badges on social accounts and provides richer context about likely drives, fears, and patterns behind the content.