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Nutritionist's Guide to AI Features

How to get the best results from PappAI's AI tools — recommended workflow and operating rules.

Version 1.0 · In force · 21 February 2026 · For nutrition professionals

Core principle

The AI in PappAI acts as an operational co-pilot: it proposes, it never decides. The nutritionist retains full professional control at every step.

Where AI intervenes

  1. Weekly diet plan drafting (AI generation).
  2. Patient analysis — insights created with proposed status.
  3. Follow-up prioritisation support.

Recommended workflow

Before launching AI

  1. Patient profile is complete and up to date.
  2. Care pathway goal is defined.
  3. Restrictions and preferences are current.
  4. AI consent is recorded.

During

  1. Check warnings and outcome status.
  2. Review usedModel and fallback fields.
  3. Avoid unnecessary regenerations.

After

  1. Verify calorie and macronutrient coherence.
  2. Confirm the plan respects the patient's real-world constraints.
  3. Assess practical long-term sustainability.

Operating rules

  • Treat every AI insight as an operational hypothesis, not a conclusion.
  • Reject generic, redundant, or overly assertive insights.
  • Always translate AI suggestions into concrete, verifiable actions.
  • Report inconsistent outputs or repeated fallback events as technical issues.

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