GLYPH.

GLYPH is an agentic metabolic nutrition navigator that doesn't just give you a meal plan — it autonomously reroutes your day, GPS-style, when reality breaks plan. Eat an unplanned slice of office pizza, skip a meal, or change your workout, and the Snap → Identify → Recalculate → Notify agent loop recalibrates the remaining day to keep your metabolic targets intact — without making you log data or do the macro math yourself.

The positioning is precise: System of Action, not Record. Where MyFitnessPal and Cronometer ask the user to log and compute, GLYPH observes, decides, and acts — collapsing compliance cognitive load to near zero. The wedge is real: research showed 87.5% of users face 2–8+ unplanned food events per month ("surprise deviations"), each triggering a "feeling of failure" that breaks habit loops. GLYPH treats every deviation as new input, not failure.

Powered by an orchestrator-worker multi-model topology: GPT-4o for Planning (complex JSON adherence, deterministic structure), Gemini 2.0 Flash for Vision (food photo identification), with deterministic fallback to a secondary provider. The AI persona is "The Clinical Navigator" — calm, precise, second-person, no emojis — running on a layered S.P.C.R. prompt architecture (System, Persona, Context, RAG, User, Schema) with strict metabolic math adherence ("NEVER invent macros. Use Context as ground truth. Cite sources.").

Targeting the Personalized Nutrition and Metabolic Healthtech sector projected to reach $35.96B by 2031 at 14.06% CAGR, with two structural tailwinds: the GLP-1 medication wave (Ozempic, Wegovy) creating demand for precise nutritional management, and the broader shift toward proactive metabolic health. B2C — primary target: Busy Tech Professionals + Health Enthusiasts; niche secondary: GLP-1 medication users who need real-time food/timing reasoning their prescriber can't provide on demand.