The IC-Ready Threshold
The question for professional AI tools isn't whether the AI is accurate enough. It's whether the output clears the threshold to go directly to the investment committee.
The question for professional AI tools isn't whether the AI is accurate enough. It's whether the output clears the threshold to go directly to the investment committee.
Commercial real estate acquisitions run on a thirty-day due diligence clock. Everything about professional AI tools for this market has to be understood in terms of that constraint.
The best-distributed tool wins more often than the best-built tool. In protocol-native markets, distribution is a first-class product decision.
Two kinds of AI tools are emerging in every vertical: ones that give you access to data, and ones that help you do something with it. They aren't competitors.
Eleven thousand MCP servers exist. Less than five percent are monetized. That gap is the opportunity.
The sustainable competitive advantage in AI tools isn't the model. It's knowing the domain well enough to make the model actually useful.
Cursor proved that professionals will pay premium prices for AI tools designed around their specific workflow. Now the same pattern is being applied to every profession.
AI wrappers have a structural economics problem that doesn't show up until you're at scale. Understanding it early changes how you build.
Most organizations say AI adoption is a top priority. Most organizations haven't actually done it. The gap between those two facts is where products win.
Most beta tests measure whether the software works. The beta test that matters measures whether the workflow works.