FileMaker + AI
Design repeatable AI workflows for schema review, scripting, data transformation, and developer decision support.

The FileMaker Lab
Experiments, tools, and AI workflows for serious FileMaker developers.
What this is
The FileMaker Lab is where FileMaker developers can explore AI-assisted development, performance analysis, XML and DDR intelligence, plugin workflows, automation, and modern development practice without losing the practical edge that real systems require.
It is built for experiments that can become reusable tools, webinars, prototypes, field notes, and production patterns. The goal is not novelty. The goal is better FileMaker work with clearer leverage.
Featured lab areas
Each area starts as investigation, then becomes methods, tools, reusable workflows, or training.
Design repeatable AI workflows for schema review, scripting, data transformation, and developer decision support.
Use Codex as a practical collaborator for analysis, refactoring, documentation, testing, and native plugin work.
Turn DDR exports and XML into maps of dependencies, drift, risk, opportunities, and architectural pressure points.
Explore high-performance plugin ideas, platform parity, rendering behavior, and production-grade developer tools.
Investigate bottlenecks with controlled tests, instrumentation, caching strategy, and data-backed hypotheses.
Prototype interfaces, templates, and patterns that make FileMaker solutions sharper, faster, and easier to maintain.
Webinars
A practical session on where AI belongs in serious FileMaker work, and where it absolutely does not.
How to inspect DDR XML, uncover dependencies, and turn old exports into modern development intelligence.
A measured approach to FileMaker speed problems using hypotheses, experiments, and instrumentation.
A tour through native plugin research, prototypes, constraints, and the path toward production tools.
Using Codex to analyze code, reason about architecture, draft tests, and tighten developer workflows.
Lab Notes
Generic AI advice breaks down quickly. FileMaker work needs context, constraints, and reusable patterns.
Automation can become fragile fast. The lab approach starts with repeatability, observability, and clear boundaries.
DDR exports can become searchable maps, review surfaces, and risk detectors when treated as structured data.
Sometimes the cleanest FileMaker workflow comes from a focused native tool, not another layer of glue.
Tools
These placeholders are ready to become product pages, downloads, private previews, or documentation hubs.
A focused analysis surface for relationships, scripts, layouts, fields, and XML structure.
Visualize script calls, hidden coupling, entry points, and fragile chains inside complex systems.
Generate polished WebViewer starting points with practical constraints and editable patterns.
Extract useful pricing and quote data from PDFs into structured, reviewable output.
A curated library of prompts for DDR review, scripting, documentation, testing, and debugging.
About
The FileMaker Lab is led from the perspective of a developer who has spent years inside real FileMaker systems and is now testing how AI, plugins, automation, performance tools, and better workflows can change the craft.
The lab favors useful experiments over hype: small prototypes, careful analysis, native tooling where it matters, and workflows that survive contact with production.
Contact
Send a note about webinars, tool requests, AI workflow questions, consulting, or collaboration.