Most AI agents are throatless.
A throatless agent is one you can’t choke when it messes up. It just says: “sorry, LLMs make mistakes 🤷”
That works for low-stakes tasks. Not for high-stakes ones.
Startups don’t love paying law firms $500/hr to click around in Carta to update their cap table, a task easily done by AI agents today.
But they still do it bc they’re not just buying labor. They’re buying accountability, a throat to choke when a multimillion dollar cap table mistake happens.
If the cap table is wrong and it blows up later, the law firm shares the risk.
AI agents don’t.
For AI to win high-stakes workflows, it’s not just about making the harness/ouput better. The agent itself also has to stand behind its output.
Not “heads up, this might be wrong.”
More like: “this is correct, and if it’s not, we’ve got you covered.”
They’ll have a throat to choke. And it'll be worth it bc these are the high value workflows.
If you’re building in this direction, I’m writing angel checks.