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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.
Why Top Accounting Firms Are Still Building Their First Client Portals
Learn why top accounting firms lack good client portals and what it actually takes to build one that clients use from Soliant Consulting.
The AI Journey – A Complete Decision Trajectory
Learn how to outline your AI options, make deliberate decisions, and determine controls and data access to your intellectual property.
AI, Applications, AWS, Blog
Deterministic AI: How to Build an AI Application That Gives the Same Answer Every Time
Learn why reliable AI applications are mostly code, not AI models, and how to design a system that gives consistent, repeatable results.
Skills, Agents, and Tools: Why FileMaker AI Agentic Coding Needs a Harness
Learn why FileMaker AI agentic coding needs a harness as well as the skills, agents, and tools that get you from A to Z.
