Blog
Insights on AI strategy, team adoption, and making AI actually work across your company.
The Real Cost of Unsupervised AI Coding
AI coding tools promise to ship features while your team sleeps. The data tells a different story: inflated confidence, hidden vulnerabilities, and technical debt that compounds fast.
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Why Enterprise AI Keeps Failing (Hint: It's Not the Technology)
Worldwide AI spending is forecast to reach $2.52 trillion in 2026. Over 80% of those projects fail. The technology isn't the problem. The approach is.
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Building AI Agents the Right Way: Design Principles for Agentic AI
Six battle-tested design principles for building AI agents that actually work in production: modularity, persistent memory, orchestration, defensive design, clear interfaces, and real-world alignment.
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The Company Where Every Team Shares One Brain
When support, engineering, and sales share the same AI layer, information stops getting trapped in silos. Here's what that looks like, and why almost nobody is doing it yet.
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The Data Scientist Trap: Why Your AI Strategy is Failing the "Software Test"
Stop hiring Data Scientists for problems that need Software Architects. A C-Suite playbook for AI delivery.
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Why 80% of AI Projects Fail (And How to Be in the 20%)
The numbers are brutal. Over 80% of AI projects fail. Here's what the research says and how to be in the successful 20%.
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The Three Silent Killers of AI Projects (And How to De-Risk Them)
Identify and mitigate the hidden risks that derail AI initiatives before they deliver value.
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Introducing Atomic Agents 2.0 - The Enterprise-Friendly Way to Build AI Agents
The next evolution of our open-source framework for building production-grade AI agents.
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Control is All You Need
Why control and observability are the missing pieces in most AI agent deployments.
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