AI use disclosure

gasguide uses AI to scale production of educational content — narration, illustrations, question drafting, study-guide drafting, voice mock interviews. Every drug dose, crisis algorithm, and calculator formula is hand-authored against primary sources with no generative AI in the path. Everything else is AI-drafted and then reviewed and corrected by a practicing CRNA before it ships — nothing is batch-published unreviewed. AI does the grunt work; CRNAs do the review. We tell you exactly where AI is used so you can judge it for yourself.

• Lecture narration audio. Lecture audio is generated with Kokoro TTS (open-source text-to-speech) from the lecture script. The script is the source of truth for the audio, and the script itself is AI-drafted then CRNA-reviewed like the rest of the lecture body (below); the voice is synthesized for production speed and consistency.
• Lecture keyframes + medical illustrations. Diagrams, illustrations, and visual aids are produced with FLUX (an open-source image-generation model). Each one is reviewed before publishing; visuals that fail anatomical accuracy or educational quality are rejected and re-rendered. Source images and prompts are auditable internally.
• Voice mock interviews + oral boards. The examiner persona is implemented with an open-source LLM (Qwen 2.5 32B locally hosted). Scoring rubrics are written by a CRNA. Whisper (open-source) handles your speech-to-text. Audio you submit is processed in real time and not used to train any model.
• Q-bank stems, explanations, study guides, lecture bodies. Drafted with an LLM from anesthesia textbook concepts and published guidelines, then reviewed and corrected by a practicing CRNA before publication. Each item carries suggested reading pointing to Miller's, Stoelting, Vargo, the AANA Practice Manual, MHAUS, ASRA, ACOG, AHA, or an equivalent reference. We don't reproduce copyrighted text; see /attribution. Items that fail clinical review are corrected or pulled — report one to errata@gasguide.app.
• Customer-service chatbot. The in-app chatbot answers product questions using retrieval over our public docs. It can't answer clinical questions or modify your account. Edge cases route to a human at support@gasguide.app.

These paths are hand-authored end to end. Generative AI does not draft them and does not edit them.

• Drug doses, ranges, contraindications, reversal protocols. Manually cross-checked against package inserts and primary references. AI is not in the critical path.
• Crisis algorithms. Hand-authored from MHAUS, ASRA, ACOG, AHA, ATLS, and ASA practice advisories. No generative AI in the steps, drugs, or pitfalls.
• Calculator formulas. Hand-coded from primary literature.

• Your study attempts, credentials, mock-interview transcripts, and uploaded documents are not used to train any AI model. Period.
• We don't share your audio, transcripts, or written responses with third-party AI providers for training. The voice loop runs on infrastructure we control.
• Anonymized aggregate analytics (e.g., "25% of users miss Q-bank item bs-202") are used to improve content. Individual identifiers are not part of that analysis.

Everything on gasguide is educational. No content here — including AI-narrated lectures, AI-illustrated diagrams, voice mock interview feedback, or chatbot answers — substitutes for clinical judgment, your facility's protocols, primary sources, or supervision by a licensed anesthesia provider.

We make mistakes. If you find a wrong dose, a flawed algorithm step, an inaccurate illustration, or an AI-narrated word that's clinically wrong, email errata@gasguide.app with the page URL and we'll fix it within 7 days. Material errors in clinical content get a published changelog entry.