Patterns to ship AI features reliably with pragmatic constraints.
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2 of 8 parts
Weekend vibe coding differs from production work. The professional workflow: structured prompts, staged tasks, test-first thinking, CLAUDE.md patterns.
76% of HR leaders say they'll fall behind without AI in 12-24 months. Here's the governance framework for scaling vibe coding across the enterprise.
3 of 3 parts
By Q1 2026, your organization needs a documented AI strategy. The 12-24 month implementation timeline means decisions made now determine your competitive position in 2027.
Only 22% of organizations believe their architecture can support AI workloads without modifications. The CTO's job isn't to implement AI—it's to make AI possible.
69% of CMOs are reworking their data strategies, but only 7% say AI has improved marketing performance. The problem isn't AI—it's the data feeding it.
2 of 4 parts
Most AI pilots fail. Here's why—and more importantly, what to do about it. Common failure patterns and recovery strategies from real enterprise projects.
We spent $50K building an AI solution for a problem that didn't need AI. Here's how to recognize when traditional approaches are the better choice.
Creating sustainable AI transformation in your organization. A proven roadmap from concept to implementation, including phase-based execution and change management.
Architecting intelligent systems for performance, reliability, and global deployment. Patterns and practices for building cloud-native AI that scales from startup to enterprise.
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