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Health & Wellness Brand

How a digital products company used AI to accelerate research, automate content, and personalize supplement protocols.

The Challenge

A digital products company in the health and wellness space was producing supplement protocols, educational content, and personalized recommendations for a growing customer base. The research process was entirely manual — team members spent hours reading studies, cross-referencing dosages, and writing content that synthesized complex information into consumer-friendly formats. As the product catalog grew, the content bottleneck became the primary constraint on growth.

Our Approach

We identified three high-impact areas: research synthesis, content generation, and personalization. The goal was not to replace the expertise of the team but to give them AI tools that handled the repetitive, time-intensive portions of their workflow. We designed an AI advisor system that could ingest research papers, extract relevant findings, and surface them in a structured format for human review.

Implementation

The implementation had three components. First, an AI research pipeline that processes published studies, extracts dosage information, efficacy data, and contraindications, and organizes them into a searchable knowledge base. Second, an automated stack builder that generates personalized supplement protocol recommendations based on user goals, health profiles, and the research database. Third, a content generation system that produces draft articles, product descriptions, and educational materials from the knowledge base, with human review built into the workflow. All three systems feed into personalized dashboards where customers can track their protocols and access tailored content.

Results

Content production velocity increased by 10x — the team went from publishing 2 articles per week to 20+, all backed by research citations. Research time dropped by 60%, allowing the science team to focus on novel protocol development rather than literature review. Customer engagement increased as personalized dashboards gave users a reason to return daily. The founder noted that the AI systems "didn't replace our expertise — they amplified it."

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