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Featured Posts
Stop Building AI Apps Your Staff Have to Visit
Learn why the best use of AI is typically the simplest – built directly into the apps you already use – not in an outside application.
EngageU 2026: What We Brought Back
We just returned from EngageU 2026 as sponsors and speakers of the event, and we’re sharing what we learned and what’s next.
From FileMaker Data Insights to AI-powered Workflows Using Amazon Quick
Learn how to get more insights from your FileMaker data with AI-powered workflows delivered by Amazon Quick.
8 Land Mines Hiding Under Your Vibe Coded Application
Vibe coding gets you a working application fast. Here are the 8 landmines our team finds under the surface and how to defuse them.
AI Path Residue
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.
Enterprise UX Design Decisions That Make or Break a Client Portal
Enterprise UX design determines whether a client portal earns regular use or gets abandoned. Here’s how to get it right.
What “Data Readiness” Actually Means for GenAI: A Technical Breakdown
For a large-scale AI solution implementation, you’ve got to take time for a data readiness assessment. Here’s where to start.
5 Questions to Ask Before Your Next GenAI Pilot: Your AI Readiness Assessment
Run your organization’s AI readiness assessment before your GenAI pilot with our 5-question framework to estimate ROI, risk, and more.
An MVP Isn’t Just for Startups: How Enterprise Firms Should Think About Portal Development
Learn why enterprise firms build too much in version one, and how MVP thinking leads to better portal adoption and less rework.
Local AI Is Ready: How We Ran a Full AI Assistant on a Mac Studio with Zero Cloud Dependency
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.
What Actually Happens Before We Write a Single Line of Code in Our Custom Application Development
Explore Foundation: the discovery, prototyping, and planning process that happens before any production code is written in good custom application development.
AI, Applications, AWS, Blog
The Bigger-Model Trap: Why We Stopped Chasing the Largest LLM
Learn why defaulting to the largest open-source LLM backfires and how right-sizing four specialized models built a faster, more reliable AI app.
