Renew or release? Build the owner's math
Rung 4 of 10 · Constraints + negative instructions
1 · Learn the move · Constraints + negative instructions
The owner is asking a money question: keep the sitting tenant at a renewal rate with modest touch-up, or let them go and eat downtime, a new-deal TI, leasing commissions, and free rent to backfill? AI will happily 'help' by guessing a vacancy period, a market rent, and a TI number. And now the owner is deciding on fiction. Your job is to build the FRAMEWORK, not the forecast. Give it the landlord seat and hard-wire the bans: every cost the owner hasn't handed you is a [YOUR NUMBER] slot, never an estimate; the net-effective comparison gets SET UP and tagged [verify], never computed silently; and the closing line reminds the owner it's their call. A renew-vs-release model is only as honest as its inputs. So make the AI ask for them, not invent them.
Should my owner renew the tenant or release the space? Run the numbers and tell me which is better. [PASTE LEASE INFO]
2 · Your turn. You write the prompt
You're the landlord's leasing rep on a 12,000 SF office suite. You know: in-place base rent $27.00/SF, a proposed renewal rate of [OWNER TO CONFIRM], lease expires 2027-01-31. You do NOT know the downtime if they leave, the new-deal TI, the leasing commission, or the free-rent concession to backfill. Build the renew-vs-release framework the owner can drop real numbers into.
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.