Case 02 / 05 — Health & parenting · Rules + LLM
Infant nutrition.
Meal plans for babies, generated by AI, with medical safety at the centre.
Motion study: an age input passes through validated rules, a language model generates a weekly plan, and every meal is checked against the rules.
Motion study: it explains the mechanism. It isn’t a screenshot of the production interface.
Validated nutrition rules combined with a language model to generate personalised plans by age. Safety first, personalisation second.
- 01 — Context
Plans have to fit the baby’s age and stage of development.
- 02 — Problem
A language model can personalise, but in infant nutrition a confident mistake is not an option.
- 03 — Thinking
Safety first, personalisation second. Structured medical and nutrition rules set the boundaries; the model only works inside them.
- 04 — Build
- Plans adapted to age and stage of development
- Structured medical rules + LLM
- Food safety as a hard constraint
Want the longer version? Ask me about Infant nutrition.