Read planning-commission agendas for the growth signal, not the outcome
Rung 8 of 10 · Fact-check list
1 · Learn the move · Fact-check list
Getting to a submarket before the listings appear is where land is won, and the earliest public signal is the planning-commission calendar: what's being rezoned or applied for, where, by whom, and the stated status. The move is a fact-check list. You paste the agenda, application, or minutes, and every item carries the exact record it came from, or it's UNKNOWN. No record, no item. The hard rule sits on the outcome: never predict whether an application will be approved, when, or its odds. The research is explicit that AI does not reliably predict entitlement outcomes, and neither do you. You surface the signal as stated, application filed, hearing scheduled, approval recorded, and route the read to the planner. A pending item's status is exactly its stated status, never a forecast dressed up as one.
Which of these rezonings is going to get approved? [PASTE AGENDA]
2 · Your turn. You write the prompt
You're a land-acquisition manager targeting a submarket. You paste three planning-commission agenda items: a 60-acre rezone application from R-1 to PUD, status "under review"; a commercial rezone that the minutes record as approved last month; and a mixed-use application with a hearing scheduled. You want the growth-signal read to prioritize the submarket, with the AI surfacing status as stated and predicting no outcome.
Remember: the AI sees only your prompt, not this page. If the situation isn't in your prompt, it doesn't exist.
Optional. These shape the output when you run your prompt below, not your score.