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In this inaugural episode of Claris Talk AI, hosts Cris Ippolite and Matt Navarre dive deep into the foundations of integrating AI with Claris FileMaker applications. They discuss the importance of using API calls rather than relying on ChatGPT for business use cases to ensure data security and accuracy. Podcast custom GPT: https://chatgpt.com/g/g-iAiq4Ryjv-cl-... A major focus is on constructing effective prompt templates that provide the AI model with critical information to generate truthful, relevant responses. This includes: User persona: Who is asking the question and why it matters to them The actual question or input being asked Relevant context and data needed to answer the question accurately Examples of desired output format, tone, and style Legal and brand guidelines to adhere to Cris emphasizes that developers are responsible for supplying the AI with the necessary context and data to produce truthful answers, rather than relying on the AI's inherent knowledge. An example of a real-world AI implementation discussed is automatically generating product descriptions while adhering to a company's brand voice and legal compliance guidelines. The hosts also touch on using AI for meeting summaries, field reports, insights and analysis. Cris shares his experience learning Python to participate in the NFL Big Data Bowl, demonstrating that seasoned developers can leverage AI tools to expand their skillset. The episode concludes with a teaser for future topics including semantic search, embeddings, vector databases, and multi-modal AI applications. SHOW NOTES: Links to Cris's Claris Engage session and YouTube videos will be provided once available Book recommendation: "Thinking, Fast and Slow" by Daniel Kahneman TIMESTAMPS: 00:00 Introduction and overview of integrating AI with Claris FileMaker 02:40 Using API calls vs ChatGPT for business AI implementations 07:01 Balancing AI's role in providing answers vs developers supplying truth 10:12 Constructing effective prompt templates 13:07 Token windows and context in AI 20:50 Providing AI with relevant data to answer questions accurately 26:14 Format of persona, question, and context data sent to AI 29:27 Ensuring AI provides truthful answers based on supplied data 35:01 Components of a prompt template 41:01 "Thinking, Fast and Slow" and its relevance to AI 47:22 Prompt template review and best practices 54:42 Real-world example: AI-generated product descriptions 58:49 Cris's experience learning Python for the NFL Big Data Bowl 1:01:16 Episode summary and future topic teasers Follow Cris: / @isolutionsai / crisippolite / isolutionsai https://www.isolutionsai.com –––– Other Episodes: Dr. Michael Schuckers: / wgxkzfer7w0 Ernest Koe & Joris Aarts: • Special Guests Ernest Koe and Joris Aarts Vector Databases: • Vector Databases, Semantic search... and JSON Context: It's not what you think: • Context: It's not what you think. Prompt Templates: • ClarisTalk Episode 8... and Claris Talk AI...