Remi learns from your calls.
You can now approve or reject Remi's rent recommendations with a reason — and Remi actually learns from it. Your decisions stay put across syncs instead of being overwritten, and the reasoning behind them shapes every future recommendation for that unit type.
Until now Remi handed you a recommendation and that was the end of the conversation — the next sync just regenerated it. This update closes the loop. Tell Remi yes or no and why, and that becomes part of how it thinks: the decision is recorded, it sticks, and the reasons you give are folded into the next round of recommendations.
Maple Court · 2BR — raise rent to $1,490–$1,510
currently $1,425 · +$85/mo · High confidence
Two of your three curated comps moved up $50–$110 over the last 60 days; vacancy is under 4% with three units turning in June.
Approve or reject — with a reason
Every recommendation now has Approve and Reject buttons, each with a box for your rationale. It’s entirely optional to act — if you do nothing, the recommendation just stays as Remi’s standing suggestion. There’s no “defer” to manage.
Decisions are available to Operations Leads and Admins, and the decision itself is instant — no AI call, just a save.
Your decision sticks
An approved or rejected recommendation is now preserved across syncs, along with its rationale and who decided it — so the call stays visible even when there’s no fresh recommendation. It’s only replaced when something truly changes: the recommended rent range moving beyond a set threshold (default $25 or 2%). Small data wiggles between syncs no longer wipe what you decided.
Every decision is also captured in Remi’s Action Log with the rationale, the person, and the date.
Remi learns from your reasons
After you decide, Remi distills your rationales into durable notes for that unit type — the recurring reasons you accept or reject a direction, plus facts the data can’t see (“recently renovated,” “in-unit laundry,” “55+ community, low turnover,” “these comps are stale”). Those notes are fed into future recommendations and updated as you keep deciding — anything a newer decision contradicts gets dropped.
Remi shapes its reasoning from what it learns — it never changes the pricing math. The numbers stay deterministic; your rationale informs the story around them.
You decide, with a reason
“Reject — these are renovated with in-unit W/D; the comps are dated stock.”
Remi distills the lesson
Saves a durable note for that unit type: renovated + W/D, comp set understates value.
The next rec reflects it
Future recommendations weigh the renovation premium instead of repeating the same call.
A worked example
- Remi recommends lowering your renovated 1BRs to match the comp median.
- You reject it: “These were fully renovated last year with in-unit laundry — the RentCast comps are older stock. Holding at $1,025.”
- The rejection sticks — Remi won’t re-flag the same cut on the next sync — and the reason becomes a durable note for that unit type.
- Next time the data shifts enough to form a genuinely new recommendation, Remi’s reasoning accounts for the renovation premium instead of leaning on the dated comps again.
The more you tell Remi, the sharper it gets.
A quick reason on each approve or reject is the whole engine here — it’s what turns Remi from a tool that repeats itself into one that remembers your market and your judgment. The fuller the rationale, the better the next recommendation.