AI dietitian

Overview

Dietitians spend a large share of their day on repetitive planning and documentation rather than on clients. The workspace brings an agentic AI assistant directly into that workflow, turning a clinician's intent into structured, reviewable clinical output.

Built on LangGraph, the platform orchestrates multi-step agents that plan diets, generate meal plans, analyze daily portions and produce clinical documentation — always keeping the clinician in control of the final decision. The aim is less admin per client, not a published productivity multiple.

What it does

• Diet policy & meal planning — generates personalized diet policies, weekly meal plans and daily menus.
• Daily plan analysis — analyzes and improves a client's daily portions against energy targets.
• Workflow automation — drafts grocery lists, healthy-snack suggestions and clinical notes.
• Clinician-in-the-loop — every output is reviewable and editable before it reaches the client.

How it's built

The product is anonymous here on purpose. What matters is the production shape, not a brand.

• Multi-tenant backend — one deployment serves many practices. Each clinic is a tenant: its clients, plans and notes stay isolated, and a clinician only sees their own practice.
• Stripe billing — practices subscribe through Stripe. Payments, plan changes and failed charges follow Stripe's subscription state instead of a custom ledger.
• Clinician access — authenticated users act inside their tenant. The agent drafts; the clinician still approves what reaches the client.

Stack