INDEPENDENT SYSTEMS

Five independent systems, built around five different operating questions.

From evidence-governed research and a released WeChat product to human-AI governance, reusable agent capabilities, and macro observation, each system has a distinct purpose, public boundary, and way of working.

01 / PRIVATE BUILD

SignalOS

AI-Native Investment Research Operating System

OPERATING QUESTIONHow can AI-assisted investment research remain evidence-governed, inspectable, and human-approved?

SignalOS is not a stock picker. It is an evidence-governed research system spanning signal admission, bottleneck mapping, methodological analysis, human review, judgment formation, and bounded feedback learning.

EVIDENCE-GOVERNEDLOCAL-MANUAL VERIFIED
OPERATING CHAIN / EVIDENCE → JUDGMENT
01Evidence
02Context
03Analysis
04Human decision
RUN RECORD ↺ LEARNING CANDIDATE / NOT AUTOMATIC
02 / RELEASED v1.2.0

Golf Meridian

Global Golf Calendar & Viewing Guide

OPERATING QUESTIONHow can fragmented tournament information become a timely, trusted viewing experience inside WeChat?

A Chinese-first WeChat Mini Program organizing 57 curated tournaments, 59 course profiles, and device-local tee times, with scheduled tracking of official updates and AI-assisted, human-reviewed event interpretation.

WECHAT MINI PROGRAMAI-ASSISTED EDITORIAL
PRODUCT SCREENS / RELEASED v1.2.0
Golf Meridian annual tournament calendar
CALENDAR
Golf Meridian tournament detail with tee-time tracking
EVENT
Golf Meridian AI-assisted, human-reviewed tournament viewing guide
VIEWING GUIDE
Golf Meridian TPC Southwind course profile
COURSE
03 / PUBLIC v0.1.0

CollaborationOS

Inspectable Human-AI Governance Framework

OPERATING QUESTIONHow can consequential human-AI work keep context, authority, and accountability inspectable?

An open, manual/static governance framework for keeping context, evidence, authority, and accountability inspectable in consequential human-AI work.

OPEN GOVERNANCEHUMAN-OWNED AUTHORITY
METHOD MAP / COLLABORATION DISCIPLINE
GroundingWhat has earned the right to enter?
StructureHow people and AI divide work.
DefenseHow teams resist echo chambers.
ControlWho decides and stays accountable.
04 / PUBLIC v0.1.0

NativeHelix

AI-Native Skills and Capabilities Toolkit

OPERATING QUESTIONHow can teams reuse AI-native design methods without importing unearned authority or production-readiness claims?

NativeHelix Public Core v0.1.0 turns AI-native product and architecture methods into four installable Agent Skills and fifteen Capability domains, while keeping project context, permissions, validation, and consequential authority local.

OPEN SOURCEHUMAN AUTHORITY
PUBLIC CORE / SKILLS × CAPABILITIES
04Agent SkillsSelectable packages
15Capability domainsReusable assets
PROJECT-LOCALContext · Permissions · Validation
HUMAN AUTHORITY REMAINS EXPLICIT
05 / PUBLIC v0.5.2

Kairos

Macro Cycle Observatory

OPERATING QUESTIONHow can macro-cycle judgment remain evidence-gated, revisable, and separate from official facts?

A public macro-cycle observatory connecting Current Regime, Long Wave Atlas, K6 Candidate Watch, and a human-reviewed Macro Calendar to inspectable sources and revision rules.

EVIDENCE-GATEDOPEN TO CONTRIBUTORS
CURRENT PRODUCT / RELEASE v0.5.2Kairos Current Regime Board and compact Long Wave Atlas

More projects will appear here as they become real.

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