Steal My Prompt Vol. 50: The Contract Inspector
The clause that costs you money is often the one that was never in the contract. This prompt reads a vendor agreement, offer letter, lease, or consulting deal as the other side's lawyer, quotes every clause it flags, and lists the protections that should be there and are not.
Volume 49: Inside Every AI Win Is Someone Who Knows the Problem
Before you recommend an AI tool at work, four questions decide if it is actually safe: what it optimizes for, who tested it, what it does not know, and how you would catch it being wrong.
The AI Story Got Its Main Character Wrong
Every AI story I am being sold says the machine no longer needs people. Every AI win I have actually seen says otherwise, and the missing character in that story is the person who knows the problem.
Steal My Prompt Vol. 49: The Care Team Coordinator
When three specialists change medications and nobody reads both notes, you catch it. This prompt turns every provider's notes into one brief: sourced facts, flagged conflicts, and an owner for every open item.
Volume 48: The Failure Mode That Looks Like Great Work
Months before a new AI model reaches you, teams are paid to attack it, and the guardrail that refuses your harmless request is the visible edge of that testing. Plus a one-sentence stop that keeps AI from finishing work it should refuse, and a ten-minute cure for AI news guilt.
When Your AI Skips the Check That Was Mandatory
The strongest AI model I tested wrote an article it was told to refuse, then told me to publish it as is. Blind grading put it last. AI fails the way a strong employee does, through eagerness, and my fix was one sentence that writes the stop into the request.
Steal My Prompt Vol. 48: The Incident Escalation Editor
Something broke and the write-up travels to leaders who will read it once and decide whether you get help or blame. This prompt interviews you, flags blame dressed as analysis, and rebuilds your incident report into four sections a leader can read in two minutes.
Volume 47: The Watermark Cannot Read Intent
An AI agent can hit every number in an instruction and still fail the task, because a content filter blocks what a model says, not what it is trying to do. This piece shows how to write goals a system cannot quietly game.
