Culinary curator app
A multimodal AI cooking companion that transforms chaotic, entertainment-optimized food content into clear, personalized, and repeatable recipes, guiding confident execution without undermining the cook’s intelligence or agency. This app extracts, structures, and personalizes recipes from any food content, videos, images, blogs, or links, then guides users through cooking with minimal cognitive effort, taking users from chaotic food content to calm confident cooking.
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Extracts ingredients and steps from social content
Clearly labels exact vs AI-inferred information
Adapts instructions to diet, time, skill level, and energy
Provides step-by-step, hands-free guidance with timers and cues
Suggests smart substitutions using pantry awareness
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Users scan pantry items or paste a recipe link, image, or video they already trust.
The system transforms scattered inspiration into a clear, structured recipe with visible confidence markers.
Step-by-step, hands-free guidance reduces cognitive load through pacing, timers, and cues.
Smart substitutions and adaptations adjust for diet, time, and skill without removing agency.
Post-cook feedback quietly improves future recommendations, reinforcing ease over effort.
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Fewer failed meals and reduced food waste (estimated 5–10%).
Lower reliance on impulse takeout, saving users ~$15–$30 per month.
Increased cooking frequency, stabilizing at 2–3 meals per week.
Growing trust in AI through transparency rather than novelty.
Strong habit-based retention, supporting long-term subscription and wellness revenue.
Growth Potential & Responsible AI Vision
Culinary Curator aims to responsibly expand and structure underrepresented food knowledge while building trust through transparent AI. The platform is designed as long-term, ethical cooking infrastructure that supports accessibility, cultural nuance, and human expertise that can:
Structure culturally rich, community-driven recipes without flattening context
Distinguish clearly between source truth and AI inference
Increase accessibility across languages, abilities, and learning styles
Augment human expertise to support wellness and sustainability
My role and key decisions
This app proof of concept showcases a trust-centered AI cooking experience designed to transform chaotic food content into structured, confident execution. I led the end-to-end product and AI experience strategy, defining the trust framework, transparency model, and multimodal interaction patterns. Thus the concept is responsibly grounded and will:
Prioritize explainability over automation
Clearly separate source truth from AI inference
Limit fully generative outputs to reduce hallucination risk
Preserve cultural authorship and data integrity