ClarisTalk AI

Matt talks with Stathis Askaridis (We Know Data and Pineapple.gr) about his method of developing with FileMaker. Stathis shows examples of this workflow, which is a very simple FileMaker database with just a few scripts, NO RELATIONSHIPS, and a layout with a WebViewer. All the dev is done/assisted by Claude Code, Codex, etc. which delivers HTML / CSS / JavaScript. 

Data edits? Easily done with FileMaker card windows, or also in JavaScript.

But this isn't the cool part (well, it's kind of cool) It's the logging and bug tracking that are amazing. Stathis uses a tool that captures the user session and actually contains more metadata by far than the FileMaker database. This allows him and his team to see exactly what a user did when the bug (like writing data to a locked or invalid field, or any error at the UI or data level).

What impressed most is that the possibility exists for this bug to be routed to a tool that analyzes the layout, the data, the bug experienced, and actually fixes it! This is perhaps then deployed to the dev server and tested by a meat puppet (that's how SciFi AI thinks of humans) can review and confirm before putting into production – also with automated tools.

Stathis is an Otto evangelist, and rightly so. For any type of deployment that uses this level of sophistication, it's a must.

Ian Jempson demonstrates an immediately usefully AI tools for FileMaker developers that transcribes video and audio files.

Maybe even bigger: Ian shows his workflow for not only writing script with complex code that can be pasted into Script Workspace (close to the Holy Grail here). Also he shows a way to prompt-into-existence entire database files with tables, layouts, scripts and relationships. Our world has changed!

Key Tools & Resources
1. Transcribr - Local AI Transcription Tool  (Price TBD)
Download: transformingdigital.AI/transcriber
100% local Mac application (Linux version in development)
Single-file Swift executable - drag and drop installation
Features: Real-time transcription, batch processing, folder watching
Uses Whisper models (version 1.1 will add Nvidia Parakeet for 90x real-time speed)
Multilingual support with speaker separation coming in v1.1
Webhook functionality for automated notifications
Returns structured JSON data to FileMaker via insert from URL

2. Extractr – Document Data Extraction Tool (Preview)
Extracts structured data from PDFs, Word, Excel, PowerPoint, and images
Uses JSON schema to define output format
100% local processing, similar flow to Transcribr

3. AI-Assisted FileMaker Script Generation
Uses Claude Code in terminal for script development
Custom skills for handling FileMaker's XML script format
Automated script creation from API specifications using FM upgrade tool
Generates complete database schemas including tables, fields, relationships, and layouts
Installation & Setup
Claude Code Terminal Setup:
brew install --cask claude-code
or
curl -fsSL [https://claw.ai/install.sh](https://claw.ai/install.sh) | sh
MBS Plugin: Required for copying FileMaker script steps in pasteable XML format

Key Techniques Demonstrated
Using Claude skills to improve FileMaker insert from URL scripts
Generating FileMaker databases from ERD diagrams
Creating complete FileMaker patch schemas from Swagger documentation
Automating error handling and code quality checks
Using context windows and hooks in Claude Code
System Requirements
Recommended: Mac M1 or newer with 16GB+ RAM
Large Whisper models may require more RAM than available on 8GB systems

Links & Resources
Transcriber Tool: transformingdigital.AI/transcriber
FileMaker Upgrade Tool: Official Claris developer tool
Saliant Patch Lab: GitHub repository for FileMaker patch format research
Free AI Training Classes: Weekly Thursday sessions with Matt Navarre
GitHub: Ian will share the fminsert from URL skill on GitHub
Production Deployment Considerations
Mac app runs locally on developer machines
Linux version can run on servers for batch processing
Webhook integration enables automated workflows
Watch folder functionality for asynchronous processing

Note: The above was AI generated.

Something is shifting in software.

We’re not in a moment of collapse. We’re in a moment of re-architecture. Agents, persistent memory, autonomous workflows, database acceleration, and AI-native software creation are all converging at once.

This episode connects those signals — from legacy database platforms potentially getting a new engine, to developers building production-grade software in hours, to AI agents that don’t just respond but operate. The tools are changing. The leverage is changing. The interface is changing. Something big is happening.

This episode explores the signals suggesting we’re not just seeing incremental AI progress — we’re witnessing a structural change in how software is built, operated, and experienced.

A Big Signal for the FileMaker World?
We discuss recent news that could have major implications for the FileMaker ecosystem.
Apple’s parent company made an acquisition that may signal faster, more flexible databases coming to FileMaker or iWork.
If true, this could represent one of the most meaningful infrastructure shifts for that world in years. Cris has the scoop.
Article discussed:
https://appleinsider.com/articles/26/02/11/faster-more-flexible-databases-could-be-coming-to-filemaker-or-iwork

How Software Is Being Built Now
A recent viral post sparked conversation across the tech world about how software creation is changing.
The idea: the way software engineering works today is fundamentally different than even a week ago.
Cris shares how he built https://www.isolutionsai.com in just three hours using modern AI workflows.
Not hype.
Not “replace engineers.”
But a real shift in leverage.
Viral post discussed:
https://x.com/mattshumer_/status/2021256989876109403?s=20

OpenClaw, Agents & the Next Interface Layer
We break down what OpenClaw is, why it exploded, and what it signals about where AI is headed.
Not just chat.
Not just prompts.
But persistent, always-on AI operators.
In this segment, we cover:

What OpenClaw actually does
Why the Ralph Wiggum loop mattered
How persistence, cron jobs, and memory change everything
What happened when we ran it ourselves
What a potential OpenAI acquisition could mean
This isn’t doom.
It’s design evolution.

Links discussed:
OpenClaw: https://github.com/openclaw/openclaw
Ralph Wiggum repo: https://awesomeclaude.ai/ralph-wiggum

Connect with Cris
https://www.isolutionsai.com

Follow Matt
https://www.navarre.training

Cris' Stack
Convex: https://convex.dev/referral/CRISB43294
Reactive backend database that keeps app state synced in real time without managing servers.
Clerk: https://clerk.com
Authentication and user management for modern apps including sign-in, sessions, and roles.
Context7: https://context7.com
Context retrieval that helps developers understand and navigate codebases faster.
Vercel: https://vercel.com
Frontend deployment platform optimized for fast, scalable web applications.
Resend: https://resend.com
Developer-focused email API for sending transactional and product emails.
Supabase: https://supabase.com
Open-source backend platform providing Postgres, authentication, storage, and APIs.
Railway: https://railway.com
Cloud platform that simplifies deploying and managing backend services and databases.iSolutionsAIiSolutionsAI — Your Partner in the New Frontiers of AICustom AI solutions, machine learning models, and intelligent assistants.X (formerly Twitter)Matt Shumer (@mattshumer_) on XSomething Big Is Happeninghttps://x.com/mattshumer_/status/2021256989876109403?s=20Awesome ClaudeRalph Wiggum - Iterative AI Development LoopOfficial Anthropic plugin for iterative AI coding. Ship 6 repos overnight. $50k contract for $297 in API costs.

In this episode, Cris Ippolite sits down with Kate Waldhauser, Founder of Violet Beacon, to unpack why so many enterprise AI efforts stall—and what it actually takes to make them work.

Together they examine how fear-driven headlines and surface-level interpretations have distorted the AI conversation, from reactions to Salesforce’s generative AI strategy to the widely cited MIT “GenAI Divide” research.

Rather than debating whether AI is good or bad, the conversation focuses on execution discipline: designing pilots for production, embedding AI into real workflows, defining acceptance criteria instead of chasing perfection, and treating AI as an organizational transformation rather than a technical experiment.

The episode closes with a practical playbook for leaders who want measurable ROI from AI in 2026—grounded in trust, accountability, and strong data foundations.


Companion Reading
How Serious Companies Are Turning AI Into Measurable Business Advantage — Cris Ippolite
https://isolutions.medium.com/how-serious-companies-are-turning-ai-into-measurable-business-advantage-216b2d8fb743
A deeper written exploration of the themes discussed in this episode, expanding on execution discipline, pilot design, integration, ROI measurement, and why data-first organizations consistently outperform.

Resources Mentioned
(Listed in order of first mention in the episode; timestamps indicate when first referenced.)
1. The Algorithm of Fear: Unpacking Prejudice Against AI
https://digitalcommons.lindenwood.edu/cgi/viewcontent.cgi?article=1709&context=faculty-research-papers
Referenced ~03:03.
2. The Rise of Artificial Intelligence Phobia (ResearchGate)
https://www.researchgate.net/publication/393689899_The_Rise_of_Artificial_Intelligence_Phobia_Unveiling_News-Driven_Spread_of_AI_Fear_Sentiment_using_ML_NLP_and_LLMs
Referenced ~03:03.
3. Signal vs. Hype — Custom GPT Tool (Violet Beacon)
https://chatgpt.com/g/g-697049186b388191824ee9f0d6677212-signal-vs-hype-by-violet-beacon
Referenced ~08:47.
4. Salesforce Executives Say Trust in Generative AI Has Declined (The Information)
https://www.theinformation.com/articles/salesforce-executives-say-trust-generative-ai-declined
Referenced ~12:06.
5. William Phelps Eno (Creator of the Stop Sign)
https://en.wikipedia.org/wiki/William_Phelps_Eno
Referenced ~41:53.
6. Superagency: What Could Possibly Go Right with Our AI Future — Reid Hoffman
https://amzn.to/4r3JMWH
Referenced ~50:19.
7. NIST AI Risk Management Framework (AI RMF) Playbook
https://airc.nist.gov/airmf-resources/playbook/
Referenced ~56:02.
8. ISO/IEC 42001:2023 — Artificial Intelligence Management Systems
https://www.iso.org/standard/42001
Referenced ~56:02.
9. State of AI in Business 2025 Report (MIT / Project NANDA)
https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf
Referenced ~59:37.
10. Tata Consultancy Services — AI for Business Study
https://www.tcs.com/content/dam/global-tcs/en/pdfs/insights/global-studies/report/north-america-report-tcs-ai-for-business-study.pdf
Referenced ~1:19:22.

Contact Information
Guest
Kate Waldhauser
Founder & Chief Strategist
Violet Beacon
Elevating productivity through responsible AI and automation designed to save time.
• Website: https://violetbeacon.com/
• Human Intelligence blog: https://violetbeacon.com/welcome-to-human-intelligence/

Host
Cris Ippolite
• YouTube: https://www.youtube.com/@iSolutionsAI
• LinkedIn: https://www.linkedin.com/in/crisippolite/
• Twitter/X: https://twitter.com/ISolutionsai
• Website: https://www.isolutionsai.com

Show Notes

Podcast segment that summarizes recent paper:
Microsoft Copilot Usage Report 2025
It’s About Time: The Copilot Usage Report 2025 (PDF): 

https://microsoft.ai/wp-content/uploads/2025/12/What_people_do_with_Copilot-8.pdf Microsoft AI

OpenAI State of Enterprise AI 2025 — State of Enterprise AI 2025 Report (PDF): https://cdn.openai.com/pdf/7ef17d82-96bf-4dd1-9df2-228f7f377a29/the-state-of-enterprise-ai_2025-report.pdfOpenAI CDN

Perplexity / Harvard AI Agents Paper — The Adoption and Usage of AI Agents: Early Evidence from Perplexity(ArXiv): https://arxiv.org/abs/2512.07828 arXiv
 •  • 

Anthropic Claude Productivity Report — Estimating AI Productivity Gains from Claude Conversations (PDF): https://assets.anthropic.com/m/28fda2ad148e2bf5/original/Estimating-AI-productivity-gains-from-Claude-conversations.pdf Anthropic Brand Portal
arXiv.org

--

Matt mentioned a book called Outlive by Dr. Peter Attia
https://www.amazon.com/Audible-Outlive-Science-Art-Longevity/dp/B0B64WL9PK/ref=sr_1_1?crid=R3V5TNWIXZTO&dib=eyJ2IjoiMSJ9.mUiQmJW1Y0MX8JDvmiVmUMPwDD8vg5OFSW7WS9b5Rk-CopHssXKrA-4bDgGxooIcBUyulMr3g_ivC_46YYgBu7JQx1F8NFTYsBXHsMMZl9TxY0A2fejxyovq40qF1V7lgkPk436e9W5t1uyzkCBQeM540x-a_7iC17mRFmQJPouc0mYGAw-fZdBOmldwtzzdYdUydR0-iHYDpcSyd2_wBi0aNPJP4om0Ub-XZfbKflA.QwjKeavWW9YbQu2ZUW51b6DXuLkxXRaWEAUqlADEGSE&dib_tag=se&keywords=outlive&qid=1767207562&sprefix=outli%2Caps%2C336&sr=8-1

Claris MCP is shipping!

Matt and Cris welcome Lui from Claris to discuss, show demos, and dive in to this key feature.

Get it here:  https://aiworkspace.platform.claris.com.

Claris MCP is a Model Context Protocol Server for FileMaker, designed to connect an AI client with your existing FileMaker applications. This allows for powerful natural language interaction with your hosted FileMaker data.

https://www.claris.com/blog/2025/why-mcp-matters-for-claris-filemaker-developers
https://help.claris.com/en/claris-mcp-help/content/index.html
https://www.anthropic.com/news/model-context-protocol
also here is an article I wrote on Claris MCP that focuses on uses cases beyodn chat: https://isolutions.medium.com/understanding-claris-mcp-fada5fe5a647

Claris

Why MCP matters for Claris FileMaker developers.

Learn why Claris MCP is essential for Claris FileMaker developers who want secure AI integration and a strategic edge in custom app development.

https://www.claris.com/blog/2025/why-mcp-matters-for-claris-filemaker-developers

anthropic.com

Introducing the Model Context Protocol

The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments. Its aim is to help frontier models produce better, more relevant responses.

What's buzzing at the AI conferences Cris is attending? Context Engineering. 

Matt and Cris catch up after a while, and talk about recent FileMaker conferences (Matt) and AI conferences (Cris)  Early on we had a podcast about Prompt Engineering – which is but a small part of Context Engineering.

Follow Cris:
https://www.youtube.com/@iSolutionsAI
https://www.linkedin.com/in/crisippolite/
https://twitter.com/ISolutionsai
https://www.isolutionsai.com

Follow Matt:
https://www.navarre.training
https://www.linkedin.com/in/navarre/

Matt and Charles talk about practical ways FileMaker developers can start using AI right now — both as developer tools to make us stronger, faster, and more productive, and as customer-facing features.

Charles shares a rich set of use cases, design patterns, and architectural approaches that are already shaping FileMaker + AI development. While his powerful fmBetterForms solution often comes up in conversation, here the focus is squarely on the broader state of AI in FileMaker.

Follow us:
Matt Navarre
🔗 YouTube: https://www.youtube.com/@navarre.training
🌐 Website: https://www.navarre.training
💼 LinkedIn: https://www.linkedin.com/in/navarre/

Charles Delfs
🌐 fmBetterForms: https://www.fmbetterforms.com/
🌐 Delfs Engineering: https://www.delfsengineering.ca/
💼 LinkedIn: https://www.linkedin.com/in/charlesdelfs/

Cris Ippolite
🔗 YouTube: https://www.youtube.com/@iSolutionsAI
💼 LinkedIn: https://www.linkedin.com/in/crisippolite/
🐦 Twitter: https://twitter.com/ISolutionsai
🌐 Website: https://www.isolutionsai.com

Matt and Jonn talk about the upcoming FileMaker Conference

https://fullaccess.us
We meander on to the subject of AI, good web development, past lives as priests, the FileMaker Boot Camp that Jonn organized in the past, and lots more.

👥 Follow us
Cris Ippolite
YouTube: https://www.youtube.com/@iSolutionsAI
LinkedIn: https://www.linkedin.com/in/crisippolite/
Twitter: https://twitter.com/ISolutionsai
Website: https://www.isolutionsai.com

Matt Navarre
Website: https://www.navarre.training
LinkedIn: https://www.linkedin.com/in/navarre/

Matt and Cris talk about the key factors that make AI great in FileMaker, and that personalization is the next big one. How much does your database know about you? Does it have memory of what reports you've run? Your job title and main responsibility? Your KPIs? Shoe size? 

📌 Show Notes & References
Key Clips & Talks
Steve Jobs at WWDC 1997 – “Start with the customer experience”
https://www.youtube.com/watch?v=FF-tKLISfPE
Eric Schmidt on WIMP model and UIs
https://www.youtube.com/watch?v=zlfm3A8wO7A
Bill Gates on personal agents – Reuters coverage
https://www.reuters.com/article/idUS123456
Sir Ken Robinson on personalization in education – Edutopia
https://www.edutopia.org/article/ken-robinson-education
Alpha School AI Tutor Coverage – Fox News
https://www.foxnews.com/tech/ai-tutor-education

Reports & Articles
McKinsey Report on Personalization ROI
https://www.mckinsey.com/business-functions/growth-marketing-and-sales/our-insights/the-value-of-getting-personalization-right
Edutopia – Resources on Personalized Learning
https://www.edutopia.org/personalized-learning
Exploding Topics – Marketing Personalization ROI
https://explodingtopics.com/blog/personalization
AI Report 2025 (PDF)
https://www.artificialintelligence-news.com/wp-content/uploads/2025/08/ai_report_2025.pdf
Ephemeral UI
Cris Ippolite on Medium
https://isolutions.medium.com/ephemeral-ui-in-ai-generated-on-demand-interfaces-81dbc8cd4579
Context Engineering
LangChain Blog – Rise of Context Engineering
https://blog.langchain.com/the-rise-of-context-engineering/

👥 Follow us
Cris Ippolite
YouTube: https://www.youtube.com/@iSolutionsAI
LinkedIn: https://www.linkedin.com/in/crisippolite/
Twitter: https://twitter.com/ISolutionsai
Website: https://www.isolutionsai.com

Rev. Dr. Matt Navarre
Website: https://www.navarre.training
LinkedIn: https://www.linkedin.com/in/navarre/