Here’s what has us excited about the FileMaker Agentic Development Tool (ADT) beta, and 5 ways to prepare your workflows and skills today.
What We’re Excited About in the ADT Beta (And How to Get Ready) Learn More ❯
Learn why the best use of AI is typically the simplest – built directly into the apps you already use – not in an outside application.
Stop Building AI Apps Your Staff Have to Visit Learn More ❯
Learn how to get more insights from your FileMaker data with AI-powered workflows delivered by Amazon Quick.
From FileMaker Data Insights to AI-powered Workflows Using Amazon Quick Learn More ❯
Vibe coding gets you a working application fast. Here are the 8 landmines our team finds under the surface and how to defuse them.
8 Land Mines Hiding Under Your Vibe Coded Application Learn More ❯
The output you get from an AI tool depends not just on where you ask it to end up, but on the path it takes to get there. Learn more.
For a large-scale AI solution implementation, you’ve got to take time for a data readiness assessment. Here’s where to start.
What “Data Readiness” Actually Means for GenAI: A Technical Breakdown Learn More ❯
Run your organization’s AI readiness assessment before your GenAI pilot with our 5-question framework to estimate ROI, risk, and more.
5 Questions to Ask Before Your Next GenAI Pilot: Your AI Readiness Assessment Learn More ❯
Learn how to build a full AI assistant that runs entirely on local Mac Studio hardware, with no OpenAI, no Anthropic, and no cloud dependency.
Learn why defaulting to the largest open-source LLM backfires and how right-sizing four specialized models built a faster, more reliable AI app.
The Bigger-Model Trap: Why We Stopped Chasing the Largest LLM Learn More ❯
Learn how to outline your AI options, make deliberate decisions, and determine controls and data access to your intellectual property.
The AI Journey – A Complete Decision Trajectory Learn More ❯
