
Why Most AI Products Fail After Launch, And What Production-Ready Actually Means
80% of AI projects fail after the demo. Here's what separates products that survive production from prototypes that don't — and the specific decisions that make the difference.

How We Built an AI Sprint Planning Tool That Replaced Standups
How Imaginary Space built Flor.work, an AI sprint planning agent that generates sprint plans in seconds, assigns tasks by skill and capacity, and keeps engineering teams in sync through Slack. 40% less meeting time. 3x faster planning. Here's what we built, what we cut, and what we'd do differently.

How to Build an AI Product That Pulls From Multiple Data Sources (Without Breaking in Production)

Open Source LLM vs. API: How to Make the Build-vs-Buy Decision for Your AI Product

Imaginary Space Hackathon #3: Build a Real AI MVP in One Day

AI Meeting Automation: Why Most Workflows Still Need a Human in the Middle

Vibe Coding Is Not an Enterprise Strategy. Here's What Is
Vibe coding ships demos fast. It doesn't ship enterprise software. Half of AI projects never reach production — not because the models fail, but because of decisions made (or skipped) in week one. Here's what actually separates prototypes from production.

How We Built CaseBench — A Digital Dentistry Workflow Platform Built for the Whole Case Lifecycle
The technology behind modern orthodontics is impressive. The infrastructure connecting it all is still WhatsApp and unlabelled STL files. Here's how we built CaseBench — a digital dentistry workflow platform architected around the case as the primary unit of work.

How We're Engineering the AI Brain Behind MeasureAI
Most software that claims to automate construction takeoffs is a better-looking spreadsheet with an OCR layer on top. You upload a PDF, it reads some numbers, you spend the next hour fixing what it missed. That's not AI construction takeoff software. That's digitized manual work.

Microsoft Silica: What 4.8TB in a Piece of Glass Actually Means for How We Build Systems
Microsoft stored 4.8TB in a piece of glass. Here's what the physics actually does, where it doesn't work yet, and what it means for architecture decisions today.