Think about the people you actually trust in a transaction.
Not the loudest ones. Not the ones with the best pitch. The ones who call back. The ones who catch the thing everyone else missed. The ones who do what they said, on the day they said it.
And notice what earned them that place: repetition. They did it every time.
Why should AI face the same test?
Because trust doesn’t have a shortcut, and it shouldn’t get one just because the newcomer is software.
Most AI tools are judged on their best demonstration. Professionals get judged on their worst week. If AI wants a seat in the transaction, it should be graded the way the transaction grades everyone else: on the tenth deal, not the first.
A tool that dazzles nine times and fumbles the tenth hasn’t earned trust. It has earned a babysitter. The agent goes right back to double-checking everything, and the tool becomes one more thing to manage. I wrote about the first half of this standard in Fast and Wrong Is Still Wrong: right comes before fast. This is the second half: right has to repeat.
What does a consistent AI assistant actually do?
The same things a trusted person does. It answers every time you reach for it. It knows where the file stands without being re-briefed. It brings the hundredth transaction the same attention as the first.
Predictable, deal after deal. That’s the entire test, for people and for software.
So how should an agent evaluate an AI tool?
Ask the question you’d ask about a new coordinator. Not “what can it do on a good day?” but “what does it do every day?”
Trust is consistency. AI should have to earn it the exact same way.
The full Ethica blog library lives at heyethica.com/blog
Judd Hoffman is CEO and Co-Founder of Ethica AI, building AI-powered tools for real estate transaction workflows.
