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ClarisTalk AI

ClarisTalk AI

Hosted by Matt Navarre & Cris Ippolite

TechnologyInterviews guests

Episodes

48

Latest episode

Aug 2026

Language

EN-US

About the show

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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48 recent
August 13, 2026Episode 481 hr 12 min

AI Consciousness, Clio, and the Future of FileMaker Training

Matt Navarre and Cris Ippolite return for a wide-ranging ClarisTalk AI conversation about how quickly the AI landscape is changing — from philosophical questions about AI consciousness to very practical FileMaker applications. The episode starts with a discussion of a Google AI consciousness paper exploring what happens when language models are steered toward or away from claims of consciousness. Matt and Cris use that as a springboard into theory of mind, empathy, free will, AGI, and the difficulty of defining consciousness in humans, animals, and machines. From there, they move into the practical impact of newer AI models, including Fable 5, Astra, and advanced coding workflows. Matt shares how newer models helped expand his Linear A research project, including finding and processing hundreds of academic papers, while Cris talks about using stronger models to review complex codebases, find vulnerabilities, and solve problems that previous models missed. They also discuss the changing FileMaker conference landscape, including Full Access in California, EngageU in Europe, community-led events, and the role AI is beginning to play in the Claris/FileMaker ecosystem. Matt then introduces Clio, his FileMaker logging and AI analysis tool. Clio captures FileMaker log data into an external SQL/Postgres-backed system, supports rules and alerts, and lets users ask questions of their logs in natural language. The key idea: keep FileMaker clean, make the integration non-destructive, and let AI work against rich operational history. Cris shares a major update on his own FileMaker training work: he is retiring from traditional FileMaker training and turning decades of scripts, courses, DevCon presentations, user group talks, and FileMaker explanations into an AI-accessible knowledge base. The goal is to give the community a 24/7 FileMaker tutor built from his own teaching voice and experience. The conversation closes on a hopeful note: AI can be frightening, especially for developers and business owners who feel their profession shifting under them. But hands-on use changes the picture. For both Matt and Cris, AI has become less of a threat and more of a way to unlock long-held ideas, build faster, learn faster, and create new opportunities. Topics covered - Google AI consciousness research - Theory of mind and AI self-attribution - Whether language models can simulate empathy or consciousness - Fable 5, Astra, and next-generation coding models - Using AI to research Linear A and ancient scripts - AI agents as research assistants and focus groups - Full Access, EngageU, and FileMaker community conferences - Matt’s free AI + FileMaker integration classes - Clio: AI-powered FileMaker log analysis - Non-destructive FileMaker integrations - Rules, alerts, and AI chat over operational logs - Cris Ippolite’s FileMaker training corpus - Solving the “two sigma problem” with AI tutors - Why hands-on AI use reduces fear - AI as “3D printing for ideas” Mentioned / notable - Ronnie Rios - Full City Consulting - Google AI / Paradigms of Intelligence paper - Fable 5 - Astra - Linear A research - Full Access conference - EngageU - Claris - Ryan McCann - Todd Geist / ProofKit - Fly.io - Clio - navarre.ai - Cris’s article: “Hallucination Isn’t a Probability Problem” - OpenAI DevDay - Alexei Folger

August 8, 2026Episode 471 hr 7 min

Difficult tasks that are now easy – with Charles Delfs from Klai Studio

Charles and Matt discuss a working list of engineering problems that used to be hard in FileMaker and are now easy, plus the vocabulary you need to ask an agent for them. Idempotency. Mutex. Message queues. Race conditions. Rich error objects. Test-driven development. None of it is new to computer science, and all of it is stuff FileMaker developers have been hand-solving for years without the words. Learn the words and you can prompt for the solution instead of letting the agent lead you. Also: the difference between vibe coding and agentic engineering, why rage coding works (all caps included), and Matt's first public walkthrough of Pythia, his new amazing reporting tool. ⏱ CHAPTERS 0:00 What got easy, and Charles has not written code since November 2:15 Vibe coding vs agentic engineering, two competing definitions 5:40 The thing that used to be hard was research 6:40 Rage coding, FFS in all caps, and why it sometimes works 9:15 Build a v minus one. Refactoring is cheap now 12:20 Plan mode, and coding like jazz 13:30 Conditionals and feature gates as a JSON object 15:00 Defensive coding, and LLMs that guard too much 16:30 The senior engineer who asked for the temperature coefficient 17:30 Race conditions, defined for the rest of us 20:00 Test-driven development, and why FileMaker test suites were brutal 22:30 A free project idea: an OData-driven test suite for your scripts 24:45 Rich error objects, and the five word prompt that gets you one 27:45 Message queues, pipelines, throttling and debouncing 32:20 Idempotency: the blue button that sends two emails 39:03 Mutex, and how it differs from a transaction 42:35 The Dell sync bug that broke something every three days 47:12 Put an agent in your admin panel 52:22 What Klai is researching next: seeing into a huge codebase 53:30 Matt's adversarial agent loop: Claude Code, Hermes, and a message table 54:55 The API key vibe coded into the front end, and where governance fits 58:29 Pythia: reports that go past what FileMaker can do 60:02 22 apps on Fly.io for $13 a month 63:04 Function as a service, and keeping a light footprint 🎙 IN THIS EPISODE • Charles: vibe coding is building in a technology you cannot read or understand • Why FileMaker developers were never really vibe coding, and where that breaks down • The sunk cost fallacy is a human trait, not an AI one. Rip it out and start fresh • Feature flags as plain JSON keys, so accounting never clicks your reset button • Why the LLM's first version is probably better than your first version, and the second version is much better than your second • Rich errors carry a request ID, a suggestion, and a doc link, so an agent can debug them • Idempotency in FileMaker terms: that timestamp field you already add after the client complains • A sync bug at Dell that surfaced once every 20,000 transactions, and the week it took to find • Pythia syncs your data to DuckDB so a million records slice instantly, then writes the report code and hands you a PDF 🔗 LINKS Klai Studio: https://klai.studio Navarre.ai: https://navarre.ai Free weekly FileMaker AI classes: https://navarre.ai/#/classes Fly.io: https://fly.io Coming in future episodes: code introspection research from Klai, and an episode on Genie with Bruno. #FileMaker #Claris #AI #ClarisTalkAI #AgenticEngineering #VibeCoding

May 30, 2026Episode 461 hr 13 min

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

May 22, 2026Episode 4530 min

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.

May 17, 2026Episode 4427 min

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.

May 5, 2026Episode 431 hr 3 min

Changes in the world of Value Pricing in the land of AI with Jonathan Stark

Apologies for my audio!! Somehow, Zoom lost the setting and nice quality Mic was off, and the awful mic in my monitor took over, so there is a ton of room noise. Jonathan sounds great though. -- Jonathan Stark is an author and expert that helps developers (and others) think about pricing projects and helping clients differently than the usual hourly billing approach. Now that AI tools like Claude Opus 4.7 and OpenAI Codex allow app creation in tools other than FileMaker at vastly increased rates of speed, what does it mean for FileMaker developers who work with clients? https://jonathanstark.com

April 23, 2026Episode 421 hr 7 min

Dimitris Kokoutsidis announces ai2fm.com - a new way to write FileMaker scripts in an IDE.

Matt and Dimitris talk about a new tool for the community that allows coding FileMaker scripts in an IDE. It's a totally different dev environment, and also completely familiar.

April 5, 2026Episode 411 hr 9 min

Stathis Askaridis shows AI Built front-end with FileMaker on back

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.

March 25, 2026Episode 401 hr 21 min

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.

February 18, 2026Episode 391 hr 2 min

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.

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