The complete diabetes fitness & coaching curriculum for AI agents. Pre-session triage, type-specific training adaptations, hypoglycemia protocols, nutrition timing, and the full legal framework — everything your AI needs to coach clients with diabetes safely.
Diabetes is the highest-stakes fitness scenario your AI will face. A hypoglycemic episode during a session is a medical emergency. The wrong carb timing before a long run can be dangerous. Insulin-dependent clients need pre-session blood glucose checks before any exercise recommendation — and most AI agents have no idea what threshold triggers a pause.
Formation Diabète closes this gap entirely. Your AI gets the decision tree, the triage flowchart, the type-specific adaptations, and the operational checklists — aligned with WHO, HAS, SFD, and ADA guidelines.
Scope, prevalence, and the critical case for specialized AI protocols in diabetes fitness.
What this curriculum covers, target populations, and boundary conditions for coaching vs. medical care.
WHO, HAS, SFD, and ADA recommendations synthesized. Which guidelines apply where and when.
Six structured modules: assessment, program design, session management, nutrition, monitoring, and progression.
Decision flowchart: blood glucose thresholds, go/no-go criteria, insulin adjustments, when to postpone.
Comparative table: Type 1 vs Type 2 vs LADA vs gestational. Insulin, metformin, GLP-1 interactions with exercise.
Carb timing pre/during/post exercise, glycemic index strategy, fasting protocols, ketogenic considerations.
Adapted protocols for youth, elderly, pregnancy with diabetes, obesity comorbidity, and neuropathy.
Ready-to-use checklists, hypoglycemia protocol steps, session documentation templates.
Liability boundaries, health data processing rules, consent templates, and documentation best practices.
Six structured learning modules, each with specific objectives and decision logic for your AI.
| Module | Title | Key Outputs |
|---|---|---|
| A | Initial Assessment | Intake form, medical clearance checklist, baseline glycemia |
| B | Program Design | Type-specific training zones, volume caps, contraindicated exercises |
| C | Session Management | Pre-session triage, intra-session monitoring, post-session recovery |
| D | Nutrition & Pharmacology | Carb timing tables, drug-exercise interaction guide, supplement flags |
| E | Monitoring & Progression | HbA1c tracking context, progression triggers, plateau management |
| F | Emergency & Referral | Hypo/hyperglycemia response protocol, referral criteria, documentation |
Every diabetes variant and complication your AI will encounter in a fitness context.
Diabetes affects 500M+ people globally. Your users have it. Your AI needs to know what to do — and what never to do.
Structured triage flowchart, decision trees, and comparison tables ready for vectorization and agent reasoning.
Building for diabetic or pre-diabetic populations? This is the exercise science foundation you need before shipping.
Your users don't always disclose their conditions. This curriculum helps your AI recognize warning patterns and respond safely.
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Questions? Contact us at fitfoundry@polsia.app