Research notes

The quality of an answer begins before generation.

The following principles describe the documentation workflow we want to explore for specialised nutrition-related AI systems.

Method framework

Six checks that help prevent unsupported conclusions.

This is an intended design approach. It is not a claim that every feature or verification step is already deployed.

01

Name the claim

Capture the wording of the statement before attempting to verify it.

02

Identify the publisher

Record who produced the material and the role they played.

03

Date the evidence

Separate enduring principles from information that may have changed.

04

Inspect relevance

Check animal species, age, study conditions and the actual subject examined.

05

Cross-check results

Look for disagreement, methodological limitations and alternative explanations.

06

Preserve uncertainty

Explain when the available evidence does not justify an individual recommendation.

Source types

A document’s existence is not proof of its suitability.

Research articles, industry standards, regulatory texts, manufacturer product sheets and educational resources can all be useful. Their evidential weight depends on the question being asked.

A robust interface should distinguish a claim from its supporting reference, where possible provide a link and explain whether the information was independently checked.

01Primary referenceWhat the original publication actually says
02InterpretationHow it is understood in a particular context
03LimitationWhat cannot reasonably be inferred
Public understanding

Useful questions before acting on nutrition content.

Was the material written for consumers, clinicians or researchers?

The intended audience affects terminology, assumptions and how findings should be applied.

Does a food ranking capture every relevant factor?

No single score can represent every animal, feeding context or health consideration. Any proposed indicator must disclose its criteria.

Can automatically generated content be mistaken?

Yes. Models can overgeneralise, omit conditions or misstate a source. Citations and human checks reduce some risks but do not remove them.

When should I contact a veterinarian?

For an animal with clinical symptoms, a suspected allergy, an existing diagnosis or a proposed therapeutic diet, consult a veterinarian rather than relying on a general-purpose content tool.

Project enquiries

Turn a question into a defined digital project.

Describe your intended audience, data constraints and desired output. We can discuss a realistic technical approach before any development begins.

Start a technical discussion