Community Live 13: Jumpstart AI in Claris FileMaker – A step by step workshop Overview of FileMaker’s New AI Features FileMaker 2024 introduces a variety of AI tools, specifically for semantic search, which organizes and retrieves data based on contextual meaning. Here are the key tools: These features lay the groundwork for integrating sophisticated search
In this comprehensive guide, experts Honza Koudelka and Johan Hedman share essential strategies for optimizing FileMaker Server performance, addressing key bottlenecks, and managing heavy traffic from multiple client types. From understanding FileMaker’s single-threaded CPU limitations to implementing caching proxies and smart backup strategies, this post provides detailed insights into building scalable, high-performance FileMaker solutions. Additionally, upcoming changes in FileMaker’s architecture—such as direct OData connections and the integration of Nginx—promise further enhancements. Gain valuable tips and best practices to keep your FileMaker deployment running smoothly, even under high demand.
Drawing extensively from Beatrice Beaubien’s session at the 2018 FileMaker Developer Conference (DevCon), we will explore the benefits, challenges, and best practices for successfully integrating FileMaker solutions in enterprise environments. Whether you are an in-house developer or an external consultant, this guide aims to provide you with the insights and tools needed to navigate the complex landscape of enterprise development confidently and effectively.
Often, as FileMaker developers, we default to solving every problem within the FileMaker environment simply because it’s what we know best. However, it’s crucial to recognize that while FileMaker can handle a wide range of tasks, it might not always be the most efficient choice for every function. This tendency to rely on familiar tools and approaches can limit our solutions’ effectiveness and scalability.
A common adage captures this mindset well: “If all you have is a hammer, every problem looks like a nail.” This perspective can hinder innovation and optimization. Instead, we should explore integrating external microservices and other technologies, keeping FileMaker at the core but enhancing its capabilities with specialized tools. By doing so, we can build more robust, efficient, and scalable solutions.
Each AI platform, including ChatGPT (GPT-4), GPT-3.5, Meta.ai, Mistral.ai, Pi.ai, Perplexity.ai, Copilot Free, Blackbox.ai, Gemini Free, Gemini Pro, and Claude 3, received the same task. The objective was to assess how well these tools could autonomously generate a script that not only performs the task effectively but also adheres to best practices in error management and user interaction within the FileMaker environment.
