How HAIA Came to Be
The practice and the frameworks that became the HAIA ecosystem date back to Factics in 2012. The name itself was an attempt to make communication more casual with AI after injury limited use of my right arm. A name for the thing I was speaking with: HAIA, Human Artificial Intelligence Assistant. It carried a few versions as I made my way through the frameworks: Human AI Intelligence Architecture, Human Augmented Intelligence Architecture, Human AI Augmentation, others. After settling into the ecosystem, I decided to keep it as it originated, Human Artificial Intelligence Assistant (HAIA).
There was no plan, only the practice of using LLM or AI to assist me, the human, to do things, be it marketing content, social media posts, work letters, kids’ school letters, correspondence with legal assistants and lawyers, everyday email response, even the Governing AI book.
As this was not an intentional practice to build anything, the reactive practitioner work of operationalizing tools to solve AI’s real problems became something I needed to backtrack on and structure. Each aspect was a response to an AI failure, a limitation, or a risk that surfaced in real use. I built prompts and frameworks to solve issues as I encountered them.
In summer 2025, I completed the Elements of AI course and the Ethics of AI course, offered and credited by the University of Helsinki. That led to the adoption of academic rigor in studying the thought leaders who shaped AI, from builders to ethicists to policy figures. I built a thought leader list to learn who had influenced AI and how. The study of their publications, paired with simulated AI reviews from their perspective, shaped the work that followed and became the basis for the book Minds That Bend the Machine.
This page stands alone, updated periodically to share the HAIA ecosystem and the frameworks that influence it, from AI Governance to Content and Social Tools.
The HAIA Asset Map
The map below follows the adoption ladder: Factics, then RECCLIN, then CAIPR, then GOPEL. Each section moves outward from the foundational evidentiary practice to the constitutional, enforcement, accountability, content, and measurement layers.
The HAIA Ecosystem
Hub: HAIA Ecosystem
- HAIA-RECCLIN (Researcher, Editor, Coder, Calculator, Liaison, Ideator, Navigator) — Seven-role reasoning and dispatch framework for human-AI collaboration.
- Checkpoint-Based Governance (CBG) — Constitutional authority layer with binding human checkpoints.
- HAIA-CAIPR (Cross AI Platform Review) — Parallel multi-AI orchestration protocol with synthesizer audit and source-authority discrimination.
- HAIA Agents — Audit-grade multi-AI collaboration architecture, EU regulatory compliance edition.
- GOPEL (Governance Orchestrator Policy Enforcement Layer) — Non-cognitive governance layer that automates without thinking.
- GOPEL Expanded — Post-quantum cryptography and confidential processing extensions.
- HEQ (Human Enhancement Quotient) and AIS (Augmented Intelligence Score) — Measurement framework for cognitive amplification through human-AI collaboration.
- HAIA-CARCS (Compliance Accountability Record and Case Study) — Ten-section accountability record from a three-prompt suite, with four decision types and inline override tagging.
- HAIA-Overwatch — Adaptive security component wrapping GOPEL from external trust boundary. Pending publication.
HAIA Tools
- HAIA-CORE (Content Optimization Reader Evaluation) — Substance evaluation for blog and long-form content across five SMART dimensions. [Link]
- HAIA-SMART (Social Media AI Rating Tool) — Six-pillar social content rating with Visual Intelligence Module, Multi-Platform Output Suite, AI Pattern Risk Detection, and Dissent Log. [Link]
- HAIA-WOPPA (WordPress Optimization Publication Prompt Architecture) — Standalone WordPress publication packager that takes finalized content from any source and produces paste-ready Support and Content documents. [Link]
- HAIA-HEQ (Human Enhancement Quotient) — Operational prompt for HEQ and AIS measurement runs across the four cognitive amplification dimensions. [Link]