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Writing at Scale: AI-Powered Content Creation
300+ Deep Dives: Human-Authored, AI-Produced
AI & Technology
Build Reliable LLM Systems: From Prompts to Production Reliability
Reliability in AI doesn’t come from clever prompts alone—it comes from the systems around them. Learn how to build reliable LLM systems with validation, caching, retries, and guardrails that meet cost and latency goals.
Guide AI with Constraints: A Guardrail Method for Reproducible CI/CD
Guide AI with constraints by stating invariants, hard limits, and acceptable tradeoffs so fixes honor contracts, not convenience. This principle-first method keeps CI/CD reproducible and advice trustworthy.
Evaluate AI Decision Quality: Build Reliable, Aligned Systems Beyond Prediction
Accuracy isn’t intelligence. This piece shows why to evaluate AI decision quality—shifting from prediction to aligned, agentic choices with human override, logging, and accountability.
Career Growth
Content & Personal Brand
Education & Learning
Engineering Strategy
How to Get Buy-In for Uncertain Projects (Without Overselling)
Quantify pain, demo scrappy prototypes, translate benefits into executive outcomes, and follow a clear learning path. This is how to get buy-in for uncertain projects without overselling.
Focus on Strengths Not Weaknesses: Leverage That Compounds
Stop diluting your impact by chasing every gap. Focus on strengths not weaknesses, stack what you do best, and cover the rest with delegation, tools, or partnerships.
Build Reliable AI Pipelines: 5 Proven Pillars for Stability
Applied AI breaks in messy, silent ways. Build reliable AI pipelines by testing across variability, grounding and QA at each step, and simplifying orchestration to keep outputs predictable.
Leadership
Mindset & Well-Being
Productivity
Professional Development
Work-Life Balance