Blog
Insights on AI engineering, product development, and building intelligent systems.
What an AI MVP Actually Costs — And Where the Money Goes
Founders get quotes from $8,500 to $250,000 for the same AI MVP. The spread is not pricing. It is undefined scope — and here is how to read it.
Everyone Has the Same Prompts. The Harness Is the Moat.
Prompts are a commodity now. Same models, same prompts, wildly different results — the difference is the harness and workflow around the AI.
Everyone Is Spending on AI. Almost No One Has It Working.
Global AI spending hit $2.6 trillion in 2026. Only 10% of companies say AI is core to how they operate.
Everyone Deployed AI Agents. Almost Nobody Can Govern Them.
97% of enterprises deployed AI agents this year. Almost none of them can tell you who is accountable when one gets it wrong.
The Real AI Agent Risk Isn't Failure — It's Access
Agent adoption grew 14x this year. Access governance did not move at all — and that gap is where production AI actually breaks.
Record AI Funding Is Hiding a Brutal Truth for Startups
AI funding hit $510 billion in H1 2026. Almost none of it is reaching the startups building real products.
Everyone Adopted AI. Almost Nobody Captured the Value.
88% of companies use AI. Only 10% say it is core to how they operate. That gap is the real AI story of 2026.
Context Engineering Was Never the Final Layer. Graph Engineering Is.
Prompt engineering controlled the words. Context engineering controlled what the model saw. Neither controls what happens when step ten fails.
Loop Engineering Is Real. Here Is What Makes a Loop Trustworthy.
A tweet about not prompting coding agents anymore hit 6.5 million views in days. The idea behind it is genuinely important — but most teams will build it wrong. Here is the difference.
Model Loyalty Is a Preference. Model Routing Is an Engineering Decision.
Every week a founder asks me which AI model to build on. Here is the framework we actually use at Will of Dawn Labs to pick them — and why brand loyalty is the most expensive mistake in production AI right now.
18 Months to Automate All White-Collar Work? Here Is What That Actually Requires.
The Microsoft AI chief says all professional work will be automated in 18 months. As someone who builds these systems, I want to give you the honest engineering answer to that claim.
From Digital Adoption to AI Delegation: What India's National Technology Day 2026 Tells Us About the Next Decade
India spent a decade getting everyone online. The next decade is about getting AI to work for everyone. Those are not the same challenge — and most businesses have not figured that out yet.