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Thoughts on AI strategy, the future of software, and building technology that matters.
The Top Use Cases for Agentic Development in 2026
AI agents are not replacing developers—they are unlocking work that was previously too expensive to attempt. Here are the highest-ROI applications we are seeing in the field.
From Prototype to Production: Why AI Projects Stall and How to Break Through
The average AI project takes 8 months to move from prototype to production. Most never make it at all. Understanding the gap is the first step to closing it.
The Hidden Costs That Kill AI Projects After Launch
65% of AI costs occur post-deployment. Understanding the true total cost of ownership can mean the difference between success and an expensive lesson.
Why Canadian Data Residency is Non-Negotiable for Enterprise AI
As AI systems process increasingly sensitive data, where that data lives matters more than ever. A practical guide to Canadian data sovereignty for AI deployments.
The Death of One-Size-Fits-All: The Age of Personalized Software
Why the future of SaaS isn't about massive scale, but massive customization. How LLMs and agentic workflows are making deep whitelabeling economically viable.
Beyond the Hype: The Real Value of AI for Software Companies in 2026
AI is no longer just about flashy features. We explore how AI is transforming user experience, internal operations, and the fundamental economics of software development.
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