Forget buzzwords — this is where AI meets messy, real-world strategy. What happens when leaders actually redesign how business works?
If your AI system just caused a $200M disaster, and your plan is to blame the bot—you may not need better tech. You need a better lawyer.
Your team didn’t get 10x faster—they just got 10x better at shipping half-broken features no one understands. Let’s talk AI dev tools.
You can get approved for a $500,000 mortgage in 30 seconds—so why are we still faxing pay stubs to rent a $1,400 apartment?
You don’t have an AI problem. You have a “why are we still emailing PDFs about lease risk” problem. The smart part’s done—your ops are the drag.
If your human-in-the-loop setup feels like another weekly status meeting, here’s a hard truth: you’ve built theater, not oversight.
If your AI strategy looks flawless on a slide, it’s probably broken in reality. The real signal of success? Discomfort, arguments, and weird workarounds.
Even the smartest AI agents fail. This post explores how to design agents that can handle failure in critical processes — without crashing the entire system.
If your brand’s “magic” can now be faked by AI, was it ever magic—or just polished friction no one questioned? Welcome to the culture reckoning.
AI isn’t making your team smarter—it’s just making their outputs faster. Guess what’s quietly vanishing? Original thought.
Most small teams don’t need better AI tools — they need better memory. If your audit trail is vibes and Slack threads, read this.