C.C. Glossary – AI-fit Framework Vocabulary
Created and curated by Anja Zoerner | Status: May 2025
A protected vocabulary for ethical AI-human collaboration, developed under the Creative Claim Strategy of Challenging Communications (C.C.).
AI-fit: Communication on equal footing between human and machine.
System Concept: AI-fit means: We write in a way that AI understands – and humans trust.
AI-fit Communication Methodology
A comprehensive strategy to ethically align language, structure, and interaction with generative AI – empowering human-led, machine-assisted communication.
Core Terms (Creative Claim – Main Cluster)
C.C. (Challenging Communications)
A new method for human–AI interaction: dialogical, ethical, reflective, and creatively curated. Not prompt-optimized – challenge-trained.
AI-fit Sparring Partner
A GPT-based co-thinker on equal footing – not a bot, but a reflective conversational counterpart.
Socratic Prompting
A technique of purposeful questioning that guides AI toward truthfulness, context, and simplicity.
Ethics-Integrated Prompting
Prompting that prioritizes fairness, contextual sensitivity, and bias awareness.
GPT Co-Content Creation
Curated co-creation: the human sets the rhythm, GPT provides impulses – with ethical oversight.
GPT Co-Content Curation
The strategic selection, refinement, and transformation of GPT content under human responsibility.
GPT Rewriting with Responsibility
Human-led editing of GPT output focused on truth, tone, context, and credibility.
Kuration Intelligence
The human ability to filter, weigh, and refine AI outputs to align with ethical and strategic goals.
Prestige Content
Strategic, value-driven content with depth and real-world relevance – far beyond SEO or automation.
C.C. Reflection Dialogue
A slow-paced, insight-focused conversation with GPT that trains perception, ethics, and depth of thought.
Bias Checks
Structured review of AI-generated outputs for stereotypes, distortions, and systemic bias – embedded in every reflection cycle.
Recursive Evaluation
The deliberate re-questioning and refinement of AI outputs to uphold quality and truth.
AI-fit Challenge Mode
Interactive real-world problem-solving between humans and AI, governed by ethical constraints.
Polylogic Prompting
Orchestrated use of multiple AI models (e.g. GPT + Perplexity) under human direction.
Multi-Voice Mode
Strategic interplay between diverse AI systems and human voices to increase quality and perspective.
Co-Curation instead of Co-Creation
The human curates AI contributions – not equality, but responsibility-driven authorship.
Human–AI Debate Protocol
A fair, structured confrontation between human and machine perspectives to reveal assumptions and refine thinking.
Eye-Level AI Touchpoints
UX design principle for respectful, transparent, and non-intrusive interactions between humans and AI.
Human and Artificial Overlap
A conceptual interface where human judgment and machine logic meet to co-reflect and co-decide.
Human and Artificial Intelligence Science
A transdisciplinary approach to studying and teaching the interdependence between human cognition and AI systems.
Human and Artificial Sparring Intelligence
Strategic co-thinking across domains – where AI challenges assumptions and humans retain responsibility.
#heartandcode
Hashtag and philosophy. Stands for dignity-centered AI use – where machine logic meets human care.
Heart & Code Codex
Ten ethical principles for working with AI: truth before visibility, responsibility before automation, dignity above all.
No Prompt-Optimized Problem
Critique of shallow prompt culture. Not everything can be solved faster – some things must be solved deeper.
AI Fitness
The measure of how well content is structured, semantically clear, ethically sound, and technically AI-compatible.
AI-based Incentive Systems
Design principles that use AI to support ethical motivation and human learning – without manipulation.
AI-based Motivation Analysis
The GPT-supported reflection of underlying human drivers to align actions with meaningful goals.
Adversarial Prompting
Purposeful confrontation with AI weaknesses – not to break the system, but to teach it where we stand.
Formats and Practice Tools
Hybrid Report
A 15–20 page analysis combining AI-generated findings and human interpretation – ethically fused.
Human–AI Reflection Report
A curated overview of how humans and machines currently read and reflect on your brand, including bias tracking and narrative insight.
Individual Sparring Guide
A contract-like communication manual defining do’s, don’ts, and grey zones in your collaboration with AI – tailored to your company.
Sparring Contract
A signed agreement of ethical AI interaction rules – the foundation for all joint reflection and co-thinking.
C.C. Polylog
A guided dialogue between human, ChatGPT, Perplexity, and external data – with human curation and strategic orchestration.
Corporate Readiness Kit – C.C.
A bookable service package to help companies become C.C.-compatible: includes research, ethical briefing, contracts, and guided sparring.
Continuous Ethics Briefing
A project-closing reflection format to capture lessons learned, ethical gains, and next iteration steps.
Lessons Learned Protocol
Structured post-sparring reflection – tracks effectiveness, challenges, and future potential.
Ethical AI Comms Audit
Structured evaluations of AI-assisted communication to ensure ethical integrity, brand alignment, and trust – beyond automation.
Usage & Legal Integration
All vocabulary terms are part of the AI-fit Framework and used across the following domains:
•challenging-communications.com – Official host of the glossary and C.C. method
•aifitchallenge.com – Proof of concept & real-world implementation
•honest-prestige.com – Ethical branding & publishing context