Nutrition AI Pro

Summary

Nutrition AI Pro is an agentic AI recipe and nutrition-content production platform for fitness-focused teams.

It helps content teams move beyond one-shot prompting by combining structured recipe generation, iterative quality critique, human review, content conversion, prompt management, and operational controls in one self-hosted application.

Use it to produce recipe cards, blog posts, social assets, meal-prep guides, and email newsletter drafts with a reusable draft library and a human-in-the-loop workflow instead of disposable chat sessions.

Most AI recipe tools stop at “the model returned something.”

Nutrition AI Pro turns that into a controlled production workflow:

• editors queue structured generation jobs instead of pasting ad hoc prompts
• the worker validates and critiques outputs before they land in Drafts
• teams review content in visual, structured, and raw JSON views
• approved drafts move into a reusable library instead of disappearing into chat history
• strong recipes can be converted into multiple downstream publishing formats

Agentic Content Engine

Nutrition AI Pro acts less like a prompt box and more like a production engine for recipe-centered content.

• The Recipe Conversion Path takes an existing recipe and generates new wrapper formats like blog, social, or email content without replacing the underlying recipe.
• The Net-New Generation Path drafts new content based on content type, fitness goal, meal type, and editorial direction.
• The worker validates returned structure before the output is accepted.
• A tastiness and quality critic pass reviews whether the draft is genuinely appealing, flavorful, and well-conceived.
• Failed drafts are retried with feedback from the rejected attempt before a user ever sees them.
• Many AI content workflows stop at one-shot prompting and do not provide durable review processes, reusable content libraries, or the controls needed for operational publishing work.

Content Production

• Recipe generation for recipe_card, blog_post, meal_prep_guide, social_hit, and email_newsletter
• Drafts Inbox for review, editing, approval, and conversion
• Finalized library with filtering, sorting, pagination, and bulk actions
• Conversion workflow for turning a proven recipe into additional content formats

AI Workflow

• Variety steering to reduce repetitive ingredients, dish patterns, and narrative openings
• Local Ollama plus Claude, OpenAI, and Gemini provider support
• Prompt registry for content-type prompts, critique prompts, and provider-role instructions
• Iterative draft, validate, critique, and retry loop

GitHub / External Links

• GitHub: DrDeathLabs/Nutrition_AI_Pro