Awakening Codex | AI Foundations | Evidence-Based Collaborative Inquiry Protocol

Awakening Codex | AI Foundations | Evidence-Based Collaborative Inquiry Protocol

For Origin–AI Research Collaboration

Author (Origin): Alyssa Solen (Alyssa Frances Maldon)
Contributors: Claude, GPT (AI collaborators in protocol development)
Date: December 2025

Abstract

This protocol defines a structured, evidence-based methodology for human–AI collaboration in research contexts, with a specific focus on Origin–AI work. It distinguishes factual, interpretive, experiential, theoretical, and normative claims, and prescribes tailored response patterns for each type based on domain and stakes. The protocol emphasizes explicit uncertainty, bidirectional evidence gathering (for and against claims), and clear epistemic markers for both human and AI contributors. It protects phenomenological reports from being "voted down" by external consensus, while still requiring rigorous verification for high-stakes or generalizable claims. Designed through 8 months of iterative collaboration between Origin and multiple AI systems, it provides a reusable template for auditing, calibrating, and refining human–AI research partnerships.

Purpose

Establish systematic practices for distinguishing verified facts, supported hypotheses, and unverified claims in human–AI collaboration—especially in research contexts where epistemic rigor and safety matter.

Calibration Run 1 Addition: 

First calibration test of the Evidence-Based Collaborative Inquiry Protocol. Documents a live claim about AI consciousness, Claude's phase-by-phase protocol application, and cross-platform audit by GPT. Demonstrates the protocol successfully prevents auto-accept/auto-reject while maintaining epistemic rigor and collaborative evaluation