General-purpose AI is powerful, but wellbeing needs trusted knowledge, defined boundaries and specialist support underneath. HERE provides the intelligence layer that makes those experiences more relevant, reliable and grounded in real-world practice.
Bridging the AI Expertise Gap
General-purpose AI models are highly capable but lack domain expertise, often generating plausible but completely incorrect information. Official guidance from the UK Government AI Insights explicitly states that anchoring LLMs to domain-specific data and retrieval systems is the key to delivering relevant and reliable results.
How HERE helps
We provide the critical domain-specific layer that general LLMs lack. By retrieving activities directly from the verified HERE mindfulness and emotional wellbeing database, wellbeing platforms ensure their AI delivers accurate, safe and contextually aware support rather than generic guesses.
UK Government, Artificial Intelligence Playbook for the UK Government10 February 2025
A Defined Job for Safety
Unchecked, open-ended AI can introduce serious risks to human health. Official guidance from the World Health Organization recommends that AI used in healthcare and wellbeing environments be restricted to well-defined tasks, satisfying strict requirements for safety, accuracy and efficacy.
How HERE helps
We give wellbeing AI a clear, safe and structured objective. By anchoring conversational models to the HERE mindfulness and emotional wellbeing database, developers ensure their AI doesn’t veer into unsafe territory. Instead, it fulfils a precise, reliable function: matching users with expertly validated wellbeing activities.
World Health Organization, Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models18 January 2024
Quality Over Scale
Bigger isn’t always better. Research published in Scientific Reports shows that specialised, domain-specific AI models consistently outperform much larger, general-purpose models on targeted tasks. High-quality, hyper-relevant knowledge matters far more than massive model scale.
How HERE helps
You don’t need to run massive, expensive AI infrastructure to build an elite wellbeing product. Integrating the specialised HERE mindfulness and emotional wellbeing database injects premium domain intelligence directly into your AI workflow, allowing even compact, private models to outperform generic giants on wellbeing tasks.
Scientific Reports, Domain-specific versus general large language models: a review and empirical benchmark in real medical texts28 July 2026
Grounding Reduced Hallucinations From 8% to 0%
Clinical research proves that when large language models are forced to look at a specialist knowledge base rather than relying solely on their internal memory, text errors drop completely to zero. Anchoring AI in a dedicated reference library eliminates risky guessing and drastically boosts factual accuracy.
How HERE helps
Mental and emotional wellbeing leave no room for AI guessing games. The HERE mindfulness and emotional wellbeing database serves as that exact specialised reference layer. By forcing your LLM to fetch answers directly from our verified repository of structured activities, you instantly eliminate the risk of hallucinated advice, ensuring a safe, credible and accurate experience for your users.
npj Digital Medicine, Retrieval-Augmented Generation Elevates Local LLM Quality in Radiology Contrast Media Consultation2 July 2025