Trevor L Taylor

By Trevor L Taylor Hand AI the work where a wrong answer is cheap and easy to catch, and keep the work where a mistake would be expensive or hard to see. The common advice says to hand over whatever takes the most hours or whatever you like least. That rule sorts tasks by how they feel to you and ignores what a mistake would cost. What should you hand to AI first? Start with work where a wrong answer costs little and takes seconds to spot, such as a first draft of a status note, a reformatted schedule or a list of questions for a call. Keep anything where an error could travel a long way before anyone notices it. Picture a project coordinator on a Tuesday morning with six jobs open in six windows. One is a status note for the team, one is a supplier price comparison, one is an apology to a client for a late delivery, one is a reformatted schedule, one is a summary of a long thread, and one is a choice between two vendors for the next order. The usual rule says to give AI the thre...

By Trevor L Taylor Padel spreads among people who never liked tennis because it removes the two things that frustrate a beginner: a long wait before the first real rally, and a large playing area that punishes every miss. A smaller enclosed space, doubles play and a gentle underhand serve let a first timer rally within the first hour, while the walls give experienced players depth that takes years to explore. The sport earns its growth by how quickly it lets a stranger feel at home. A Smaller Enclosed Space Keeps the Ball in Play Picture six friends at a padel venue on a weeknight evening. None of them has ever held a racket, and all of them expect to spend the hour fetching balls from the far fence. Ten minutes in, they are trading shots across the net and laughing at their own mistakes. The change in mood is easy to describe. Nobody is being measured, and nobody is waiting for a lesson to end before the fun begins. The first rally of the evening arrives early enough that the who...

By Trevor L Taylor A service with no competitors still needs a price, and the best first price comes from the size of the problem you solve for the buyer rather than from the hours you spend delivering the work. Treat that price as an opening question and let real buyers answer it. This piece sets out why, how to run the test, and where the method stops working. Picture a founder at a laptop with a blank pricing page open and a service nobody else offers yet. There is no rival page to read, no range to sit inside, and no customer yet to ask. The cursor blinks in an empty box, and every number the founder types feels equally arbitrary. A blank pricing page offers two paths The first path starts from the inside. You add up your costs and the hours the work takes, you add a margin, and you call the result the price. It is quick, it feels fair, and it produces a number you can defend to yourself. The second path starts from the outside. You ask what changes for the buyer when the pro...

By Trevor L Taylor A sports facility earns its margin in the hours nobody competes for. The early morning and the evening fill on their own, because those are the hours a working adult can play, and a venue that treats them as its business is measuring the easy part. The operating decision that actually pays is what happens between ten in the morning and four in the afternoon. Print one week of bookings at a racket venue on a single page and the shape repeats almost everywhere. The rows before work and after six are solid, Saturday morning is solid, and the middle of every weekday is blank. Owners read that page as proof of demand, because the full rows are the ones that catch the eye. The blank middle reads as a fact of life rather than as the largest piece of unsold inventory in the building. The sign that marks it is the language in the room. A venue in this position talks about the waiting list at six in the evening and about whether the peak price can go up again. It rarely t...

By Trevor L Taylor The best ten minutes before a hard meeting go to the other side of the table. Write down what the other person is worried about, in their own words, and the conversation starts from their concerns rather than from your opening. A model can draft that list in about a minute, and that is the one part of the preparation worth handing to it. Picture a founder with ten minutes between calls and the difficult conversation next. A price increase, a missed deadline, a partner who wants to change the terms. The instinct is to rehearse an opening and hope the rest follows. Rehearsal feels productive because it is the part you control. It also prepares you for the version of the meeting where nobody interrupts, which is never the meeting you are about to have. How do you use AI to prepare for a difficult meeting? Describe the situation in a few plain lines, then ask the tool to list the concerns and questions the other person is most likely to raise. Prepare for that list...