A few hours a week, doing what he already does well
Carter spends his working days advising founders on go-to-market: positioning, pricing, when to hire a head of sales, when to hold off. It is the kind of work where the value is not in the spreadsheet; it is in the judgment that gets layered on top of one.
When he came across Terac, the pitch sounded almost too good to be true: contribute the same reasoning he gives away to founders all day, but get paid for it, and on his own schedule. He signed up expecting to try one project. He has been on the platform ever since.
Why the work feels familiar
Most of the projects Carter picks up look like business-strategy case studies: walk through a hypothetical company, weigh trade-offs, and explain the why. The studies are designed so that experts can show their actual reasoning, not just produce a final answer.
“The projects feel similar to decisions I already make in my day-to-day work,” he says. “I can contribute a few hours a week and earn extra income doing something I'm already good at.” The cadence settled in at about four hours a week, slotted between calls and meetings. No deadlines that pull him off his primary work.
What the AI side of it looks like up close
The studies Carter contributes to feed into training data for AI systems that need to reason about business decisions the way an experienced operator would. Every contribution is reviewed; quality matters more than volume.
He says the most interesting part has been watching how granular the work gets. The models are not learning to repeat phrases; they are learning to evaluate trade-offs. Which means the way he frames his reasoning ends up mattering as much as the answer itself.
$7,000+ later
Over the course of the engagement, Carter has earned over $7,000 on Terac. He says the income is meaningful, but the more interesting return is the sharpening of his own thinking. Writing out the reasoning behind a decision, clearly enough for a model to learn from it, has a way of clarifying it for him too.
For other advisors and operators thinking about contributing: the platform rewards depth over speed, and the work is most rewarding when it lines up with what you already know cold.
