Insights &
Engineering Notes
Thoughts on AI architecture, scalable systems, and the future of software engineering.
The Difference Between Businesses Using AI and Businesses Built on AI
78% use AI. Only 34% are built on it. Deloitte, Nvidia, and McKinsey all point to the same divide. Here's the operational test that tells you which side of it your business is on.
The Claude AI Prompt Formula That Produces Usable Output Every Time
The best Claude prompt structure uses five components: Role, Task, Context, Format, and Constraints. Wrapping these in XML tags activates Claude's pattern recognition for more organised outputs.
How to Build a Claude Skill Library for Your Entire Business
Your team re-explains the same context to Claude everytime. A Skill Library ends that permanently. Here's the department wise map to build one from first Skill to a 30-Skill business operating system.
The 9 Reasons Enterprise Leaders Choose Claude for Mission-Critical Workflows
70% of Fortune 100. 500+ companies at $1M+/year. AIG, Palo Alto Networks, Novo Nordisk all chose Claude. Here are the 9 reasons enterprise leaders make that call for their most critical workflows.
Claude Code vs OpenAI Codex: The Honest 2026 Engineering Comparison
65% prefer Codex. 67% rate Claude Code cleaner in blind reviews. Preference and quality are not the same verdict. Here's what that gap means for your engineering team's tool choice in 2026.
How to Roll Out Claude Across a Large Organisation Without It Dying in Procurement
Claude is already in your organisation employees use it before IT approves it. The question isn't whether it enters. It's whether you control how. Here's the 8-stage rollout playbook.