Welcome to Next Steps, where we explore in-depth implementation and problem-solving techniques to help you take the next steps towards achieving your goals. Our content is designed to provide practical solutions and expert insights to help you navigate real-world challenges with confidence.
MIT says 95% of AI projects fail. Wharton says 75% succeed. Both studied the same companies. Here's what the contradiction reveals about institutional AI fluency.
Transform unreliable AI prompts into production-ready systems using engineering principles. Learn architecture, core techniques, and advanced patterns with real code examples.
Master TanStack Query's infinite queries, experimental streaming, and cross-tab sync. Production patterns with 60% memory reduction and real metrics.
ChatGPT 5 delivers real improvements in coding and reasoning, but success depends more on organizational readiness than model specs. Strategic framework for leadership conversations.
Claude Code in Production: Real Workflows from Teams Using AI Development Agents