Knowledge base

Keep the evidence in view

Documentation principles for specialist nutrition AI: readable references, dates, uncertainty and practical source verification.

Good information includes its own context

An expert assistant should do more than sound confident. Users need to see the supporting documents, their dates and the conditions that shaped their conclusions. Documentation is therefore a product feature, not an appendix.

01 / Core considerations

Recognisable provenance

Separate institutional guidance, scientific studies, regulatory documentation and general commentary.

02 / Core considerations

Dates and context

Make publication dates, intended audience, scope and potential obsolescence easier to recognise.

03 / Core considerations

Critical scrutiny

Allow room for methodological limitations, alternative interpretations and corrections to incomplete answers.

A knowledge base designed to grow

Future guides and reference files can accompany new applications as they are developed. This presentation does not claim to provide an independently clinically validated dataset or proprietary scientific authority.

Frequently asked questions

Frequently asked questions

Can an AI cite an unreliable source?

Yes. Citations should be accessible and checked; a plausible link is not a guarantee of a correct conclusion.

Can the resources replace a practitioner?

No. They support general learning and informed questions, not personalised healthcare.

Explore related topics

Explore related topics

Nutrition AI

Explore retrieval-augmented generation, specialist information assistants, provenance tracking and structured nutrition workflows.

Learn more ↗

Human nutrition

Explore specialist AI concepts for general human nutrition education, reference browsing and critical information literacy.

Learn more ↗

Petfood

Tools for exploring petfood ingredients, product information, labelling terminology and supporting documentation.

Learn more ↗
Have a project in mind?

Have a project in mind?

We can define its features, audiences and source requirements before writing the first line of code.

Request a consultation
Consultation