Build a budget that actually sticks: 50/30/20 and zero-based methods, tracker templates, and debt payoff plans.
Stop letting your biggest calls get trapped in binary framing, gut instinct, or FOMO — only to realize six months later that the decision structure itself was the failure. This produces a reviewable strategic decision journal: type-1/type-2 reversibility classification, 3+ options instead of yes/no, a cost-risk-time matrix, a pre-mortem of the top 5 failure modes, a stakeholder disagreement map, your confidence level, explicit kill criteria, and a 30/60/90-day review.
Stuck on a business decision? Three AI executive lenses (Strategy, Tech, Growth) review it in turn, cross-examine each other, and give one recommendation. Not legal or financial advice.
Decide whether to buy, wait, or skip before you spend — with regret-risk scoring, future-self checks, and a 7-day purchase test.
I've spent years in fitting bays reading Trackman data — this Skill works the way a $200/hour fitting reads: paste your Trackman, GCQuad, Mevo+, R10, or sim numbers and get the one dominant diagnosis, an honest technique-vs-equipment verdict, exact spec directions when equipment is truly the problem, and a practice prescription with a measurable checkpoint. It will tell you NOT to buy a new driver when the data says strike training, which is exactly why you can trust it when it says the opposite
Turn an "everything is important, no idea what to do first" backlog into a comparable-score prioritization sheet. Scope what gets ranked and who decides, pick one model (RICE, ICE, weighted scoring, or value-vs-effort 2×2), anchor every dimension to a shared scale, score and sort, run a gut-check calibration, then draw the line and prep the talk track for what you cut. Built to beat the all-P0 trap, the loudest voice, recency bias, and the HiPPO.