If an AI Can't Find Your Auctions, Neither Can the Buyers
The web went majority-machine in 2026, and the auction industry's squeezed middle won't be consolidated so much as made invisible, non-findable by the AI agents that now do the discovering.
The web went majority-machine in 2026, and the auction industry's squeezed middle won't be consolidated so much as made invisible, non-findable by the AI agents that now do the discovering.
The marketing report proves we did our job. It doesn't answer the seller's actual question, and it lands too late to try.
Customer support is a trailing indicator of poor systems. When systems break, our instinct is to throw human shock absorbers at them, masking the pain rather than fixing the design.
Why no fee structure is self-policing, and how to design the override.
Edges that hold while the surrounding craft cheapens. Four worked examples of what AI can't eat.
What survives a leader's term isn't the institution they ran or the decisions they made. It's the example of someone who knew their lock-in mode and built the tool that broke it.
How one auction company replaced campaign-by-campaign marketing with a repeatable system.
The auction industry is full of businesses where the person IS the system. Technology is making the mechanical parts of expertise portable. That's not the threat. The threat is how people respond to it.
What happens when the system you built to understand how other people grow turns out to be about you?
Paper index cards, 500 markdown files, and an AI that earns its seat every morning.