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Generative AI

Claris Explorer Lab 05 · 2025 · Matt Navarre · 16 slides

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Slide 1: Claris Explorer Lab

Slide 1Claris Explorer Lab

Generative AI Reports in FileMaker

Slide 2: About Matt

Slide 2About Matt

  • Passionate FileMaker trainer
  • Expert FileMaker developer
  • Certified in FM versions 7 to present
  • Founded 3 companies
  • FBA Awards, conference sessions, Meetups
  • ClarisTalk AI podcast with Cris Ippolite
Slide 3: Navarre Training

Slide 3Navarre Training

  • www.navarre.training
  • matt@navarre.training
  • Schedule a free zoom with me
Slide 4: FileMaker Champion Series

Slide 4FileMaker Champion Series

  • Live, interactive, skills-based, current best practices
  • AI Integration Class starts October 20
  • Learn best practices
  • New features including AI integration
  • 10 hours of class time + 1:1 instruction with each student
Slide 5: Agenda

Slide 5Agenda

  • A few slides
  • Interactive training ~ 35 minutes
  • Q&A
Slide 6: Goals

Slide 6Goals

  • Definitions
  • Embedding vs. Generative AI
  • Discuss Examples
  • Interactive Exercises
Slide 7: Definitions

Slide 7Definitions

  • LLM (Large Language Model) – e.g. GPT-4, GPT-5; the AI engines behind generative text
  • API Key – Authenticate and call AI services
  • Token – a chunk of text “Cost per million tokens”
  • Context Window – how many tokens the model can handle at once.
Slide 8: Definitions

Slide 8Definitions

  • Prompts – instructions you give to the model
  • System prompts – role/behavior
  • User prompts – tasks/questions
  • Embeddings & Vectors
  • Numeric representations of text meaning
  • Used for semantic search and similarity
Slide 9: What is Generative AI?

Slide 9What is Generative AI?

  • Creates content based on:
  • Pre-trained data – vast, but can hallucinate
  • Your data + pre-trained data
  • Low hallucination rate
  • High quality / meaningful result
  • FileMaker Pro for the win
Slide 10: Generative AI vs. Embedding

Slide 10Generative AI vs. Embedding

  • Embedding (separate free class)
  • Condense bits of meaning from text or image
  • Store embedded data in FileMaker
  • Semantic Search on embedded data
  • Runs locally - no API call
  • Same results every time
Slide 11: Generative AI vs. Embedding

Slide 11Generative AI vs. Embedding

  • Generative AI
  • Calls a model (ie gpt-5-nano) for each use
  • Creates text, image, code, html, etc.
  • Analyze, summarize, expand, translate, etc.
  • Different results every time
Slide 12: Think of it like…

Slide 12Think of it like…

  • 1,000 interns…
  • With doctoral degrees
  • In every subject
  • In every language
  • …but they are interns
  • And require careful guidance
Slide 13: Examples

Slide 13Examples

  • Summarize long text
  • Translate to any language
  • Write a product description (given specs)
  • Draft personalized emails
  • Explain technical info in plain language
  • Create a bar chart or report
Slide 14: Let’s Explore

Slide 14Let’s Explore

  • Start from provided sample data file
  • Configure AI Account
  • System Prompt
  • User Prompt
  • Generate Response from Model
  • Perform Find by Natural Language
Slide 15: Exercises

Slide 15Exercises

  • Hello World
  • Translate Text
  • Find by Natural Language
  • Create a chart
  • Create an HTML report
Slide 16: To the interactive class…

Slide 16To the interactive class…