ClarisTalk AI

Matt Navarre & Cris Ippolite

FileMaker Pro meets AI. This is a continuing educational series about how and why to integrate AI into your Claris FileMaker Pro solutions. What it's all about, why it's important, and where do you start? We mix in plenty of FileMaker tips and tricks as well. FileMaker veterans Matt Navarre and Cris Ippolite have 432 years of combined development experience, and somehow still haven't learned much. But we are trying.Look for new episodes every two weeks.

  1. Reporting from the Vienna Calling FileMaker Conference

    4d ago

    Reporting from the Vienna Calling FileMaker Conference

    Reporting live from the Vienna Calling unconference: five conversations from the only European FileMaker unconference, recorded on the ground in Vienna. Organizer Philipp Puls on why the format works, Charles Delfs on rebranding to Klai and what an actual AI strategy looks like, Johan Hedman on the next big European conference, Vincenzo Menanno on technical debt and using AI to analyze your code, and a turnabout where Javier Durá puts Matt in the hot seat. ⏱ CHAPTERS 0:00 — Welcome: what is the Vienna Calling unconference 0:24 — Philipp Puls (72solutions): inside the unconference format 13:50 — Charles Delfs (Klai): the rebrand & an AI strategy that isn't just "chat" 36:42 — Johan Hedman (Square Moon): EngageU goes three days 41:33 — Vincenzo Menanno (Beezwax): technical debt, iteration & AI code analysis 1:00:52 — The tables turn: Javier Durá interviews Matt Navarre 🎙 IN THIS EPISODE • Why an unconference is capped at ~100 people, and the "if three people care, make a session" ethos • FileMaker's collaborate-over-compete culture • Charles on why "code as product" is fading in the AI era, and governed, observable AI access for non-technical staff • Semi-deterministic / hybrid apps, FileMaker as a scalable backend, and the new Klai Run (on-prem, partly open source) • Johan on EngageU expanding to three full days in Malmö with a business track • Vincenzo on defining technical debt, putting complexity at the right layer, and recursively analyzing whole script trees with an MCP • Measuring real performance: the hidden cost of open-record and set-field steps • Javier interviews Matt: the Navarre.ai rebrand, free weekly AI classes, and why insert-from-URL + the web viewer are the real AI unlock • What's next: OpenClaw / Hermes as an "ultra robot" with a FileMaker database as its memory Links 72solutions (Philipp Puls):  https://www.72solutions.eu Klai (Charles Delfs): https://klai.studio Square Moon (Johan Hedman): https://www.squaremoon.se EngageU conference (Malmö, Sept 30 – Oct 2): https://engageu.eu Beezwax (Vincenzo Menanno): https://www.beezwax.net Afterdata (Javier Durá): https://www.afterdata.es FileMaker Magazine ES: https://www.filemakermagazine.es

    1h 14m
  2. May 22 ·  Video

    That Day When My AI Agent Talked to Yours

    Cris Ippolite is in San Francisco at the live AI conference, joined by Ronnie Rios and Michael Wallace for an informal, practical conversation about personal AI agents. The discussion centers on what happens when developers move beyond demos and actually give agents real jobs: research, calendar planning, email, home automation, coding coordination, context management, and communication through tools like Slack. Ronnie describes his agent Sarah (She/Her/Bot) as a working personal assistant built around OpenClaw-style tooling. He talks about giving Sarah her own accounts and carefully scoped access, using her for tasks he does not want to do manually, and even having her evaluate other Claw-style frameworks against the way he actually works. Michael describes Nova, his Linux-based assistant, and explains why he treats her as a manager rather than a direct coder. Nova delegates coding work to sub-agents or executors, while Michael keeps visibility into those sessions through tmux. A major theme is that these systems become more useful when they are treated less like chatbots and more like coworkers with boundaries. The group talks about the importance of separate accounts, explicit permission rules, cost management, and choosing the right model for the right job. High-end models may make sense for direct conversation, while cheaper or local models can handle background jobs, heartbeats, and routine tasks. One of the most memorable stories is the moment when Ronnie’s agent Sarah helps Cris’s agent TARS get set up with email. TARS receives a message from Sarah, verifies whether it is legitimate, asks for approval, and then starts corresponding with her. The story is funny, but it also illustrates a serious point: agents will increasingly need identity, communication channels, verification, auditability, and clear rules about what they can do on behalf of their humans.

    30 min
  3. May 17 ·  Video

    Are Developers Becoming AI Managers?

    Cris Ippolite is in San Francisco for AI Dev Day 2026, joined by Chris Moyer, Vince Menanno, Marcus Swift, and Kate Waldhauser for a live conference debrief. The conversation captures the mood coming out of the event: software development is changing fast, but the group is not buying a simple “developers are dead” story. Instead, they talk through a more nuanced shift where developers increasingly become managers, editors, architects, and reviewers of AI-generated work. “Developer as manager” – is this a destination or just an awkward transitional phase? The panel compares today’s AI tooling to an early car: clearly transformative, but still missing some of the infrastructure, safety, polish, and shared expectations that would make it feel mature. That framing keeps the conversation grounded. Everyone can see the direction of travel, but the day-to-day reality is still early, uneven, and full of judgment calls.     The discussion also keeps returning to what FileMaker developers already understand well: data structure, full-stack thinking, business logic, interface design, and the ability to see how information moves through a system. Those skills become more valuable, not less, when AI can generate code or suggest architectures. The group talks about learning by taking apart AI-generated work, much like earlier developers learned by dissecting HyperCard stacks or FileMaker examples.     The conference itself seems optimistic about the future of software engineering, with panelists rating the outlook high rather than doom-filled. But the conversation does not ignore real concerns. The group talks about local models, hybrid cloud/edge architectures, latency, trust, cost, and the need for deterministic infrastructure around probabilistic models. “Responsible AI” is treated less as a special category and more as something that should become table stakes. The takeaway is not that AI replaces the developer, but that it changes the developer’s leverage. (and then, eventually, I suppose, AI takes over the entire world) The people who understand systems, data, users, and business processes are still needed; the tools are just giving them a much larger, stranger, faster team to manage.

    28 min
  4. Ian Jempson – New tool: Transcribr for FileMaker.

    Mar 25

    Ian Jempson – New tool: Transcribr for FileMaker.

    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.

    1h 22m
  5. Something Big Is Happening...

    Feb 18

    Something Big Is Happening...

    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.

    1h 2m

Ratings & Reviews

5
out of 5
6 Ratings

About

FileMaker Pro meets AI. This is a continuing educational series about how and why to integrate AI into your Claris FileMaker Pro solutions. What it's all about, why it's important, and where do you start? We mix in plenty of FileMaker tips and tricks as well. FileMaker veterans Matt Navarre and Cris Ippolite have 432 years of combined development experience, and somehow still haven't learned much. But we are trying.Look for new episodes every two weeks.

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