Creatine Coach

How to use this AI Expert

This AI Expert conversational assistant showcases the pairing of advanced AI with high-quality, deep, real-world knowledge on a focused topic; in this case the use of the dietary supplement, such Creatine.
You don’t need special commands or keywords - just ask questions in natural language, the way you would when speaking to a thoughtful, well-informed colleague, an experienced customer service representative, or an industry expert.What You Can Ask
Ask this AI Expert assistant anything related to creatine and about any research you think may have been conducted. This Expert assistant will tailor its answers to your level of knowledge and sophistication on the subject matter. If you're new to the subject, and you want answers in plain lay-person language, just tell it. If you're a PhD researcher in nutrition, biomechanics, or neuroscience, the AI Expert will cater to you precisely as long as you tell it what you want.For users seeking information and general understanding of the consumption of Creatine.
You can ask about :
1. Definitions
  • What is creatine?
  • How should I consume creatine?
  • Are there benefits to consuming creatine?
  • Does creatine help me gain weight?
1. Advice and Application
  • Do I need to see a doctor?
  • How often and how much creatine is ideal?
  • Are there situations that would be that using creatine should be avoided?What to Expect
  • Answers grounded in real information. This assistant retrieves content from a curated knowledge base, not from the open web.
  • Clear, fluent responses. You’ll get answers in natural language, often with relevant context, comparisons, or follow-up options.
  • Synthesis across research sources. This Expert assistant will "connect the dots" across disparate research papers and posit reasonable hypotheses.
  • Some limitations. This is a prototype. As such, it does provide citations to its source documents however it does not provide active links to those documents. A production version of this AI Expert will provide citations with links. In addition, each conversation is a unique event. The prototype does not remember your previous conversations. A production version will have this persistence.What This Prototype Shows
This AI Expert assistant demonstrates:
  • The power of retrieval-augmented generation (RAG) to deliver grounded, contextual answers derived and synthesized from a vast and deep knowledge base.
  • How vast human-knowledge can be integrated into one seamless conversation
  • How an AI Expert assistant can support different types of users and user-needs.Tips for Getting the Most Out of It
  • Ask follow-up questions. The assistant maintains conversational context, so you can go deeper.
  • Try mixing domains. Ask about topics in the context physical performance, cognitive health, disease prevention, safety, risks, protocols, or underlying biological mechanisms.
  • Test its range. Try something tactical such as, “Should I stop using creatine as a supplement during periods where I am not exercising?”. Or try something strategic such as, “What’s the best protocol for increasing muscle strength while also protecting my brain from cognitive decline?”.

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More about this prototype

More About This Prototype
This is a prototype AI Expert conversational assistant created specifically to provide information about creatine as a dietary supplement. It’s designed to answer questions about creatine and to give the user information and insights.
This assistant is built to help with expert answers, advice, and time-savings.How It Works
At the core of this assistant is a modern AI architecture called retrieval-augmented generation, or RAG.
Most chatbots fall into one of two camps:
  • Scripted systems, which can only answer predefined questions,
  • Or general-purpose AI models, which generate responses based on broad internet training - but may be vague, outdated, or flat-out wrong (hallucinations).
RAG takes a fundamentally different approach.
Instead of relying on general information or pre-written responses, this RAG-based AI Expert assistant retrieves relevant, up-to-date information from a carefully and comprehensively curated knowledge base, then generates natural-language responses based only on the curated knowledge.
A RAG-based conversational assistant is a domain expert with a deep, structured library at its fingertips. It reads what matters, in real time, and explains it clearly, and most importantly accurately, every time.
But the RAG architecture alone isn’t sufficient. This conversational assistant is effective because of several advanced components:
  • A knowledge base curated for both accuracy and coverage
  • Vector embeddings of the curated content
  • A retrieval setup (including search, ranking, and extraction) tuned for precision and relevance
  • Prompt optimization to ensure the LLM is given the right question in combination with the right extracts (chunks) from the knowledge base
  • Instructions on guardrails and limitations to ensure the generative AI stays within the domain on which it has been trained to be an expert
  • A persona that has been designed to be factual, helpful, and on-brand
  • Thorough quality assurance testing and adjustments.This prototype conversational assistant is a manifestation of all of these elements in action.

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We look forward to speaking with you.

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