Transparency & Accuracy

Editorial Policy & Verification Standards

AI technology evolves rapidly, and educational material must be held to the highest standards of technical accuracy, empirical testing, and transparent authorship.

1. Empirical Testing & Version Tracking

Every lesson, prompt example, and model behavior featured in Gen AI Lingo is empirically tested across major frontier models (including OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet, and Google Gemini 1.5/2.0). Because model weights and safety filters change over time:

We record test dates and specific model versions for all reproducible demonstrations.
We regularly audit lessons to confirm that prompt outcomes remain representative.
We teach durable prompt architecture and mental models that remain valid regardless of which AI tool you use.

2. Distinction Between Claims and Evidence

A core habit taught in our curriculum is separating confident claims from verifiable evidence. We hold our own content to this exact standard:

We cite primary documentation, academic research, and official tool specifications.
We never present simulated learning scenarios as real customer case studies.
We avoid exaggerated productivity percentages (e.g. “10x your output”) and focus on measurable qualitative skills.

3. Human Editorial Review

While we use AI tools to assist in research and development, all lessons, explanations, and practice questions are written, reviewed, and finalized by human educators. No unreviewed AI output ever reaches our learners.

4. Commercial Independence

Gen AI Lingo is supported entirely by our learners through Premium subscriptions. We do not accept sponsored placements, affiliate commissions, or vendor funding to recommend specific commercial AI models or software tools.

5. Corrections and Feedback

If you identify an error, outdated model behavior, or ambiguous question in our curriculum, please report it to our editorial team at hi@genailingo.com. We review reports within 48 hours and publish errata or revisions promptly.