1. Source intake
We monitor public-health guidance, clinical organizations, and related reference material relevant to feeding, sleep, safety, development, and postpartum care.
Methodology
How evidence becomes explainable guidance
Mom AI Agent is built to turn public guidance into a public evidence layer that can be traced, reviewed, and acted on. This page explains the operating method behind that process.
2. Evidence weighting
Sources are ranked by authority, recency, regional relevance, and applicability to the user scenario so high-stakes guidance does not rely on weak references.
3. Structured compilation
Guidance is converted into reusable knowledge objects such as topic briefs, food cards, safety rules, FAQs, and explainers with source visibility preserved.
4. Explainable output
Answer pathways are designed to show the conclusion, supporting references, applicable age or region, risk flags, and a practical next step.
Output standard
Conclusion
Supporting source
Age or region
Risk flags
Next action
Not every public surface currently renders each field in full, but this is the answer-hub standard the platform is being organized around.