# The prompt sent to the agent (clinic)

```text
I'm the designer working with Linden Street Clinic. The clinic is open in Laydyne Studio: the live layout is design option "A: shared reception counter", and the doctor's busy-morning scenarios are saved for both front-desk layouts we proposed: layout-a-busy-morning-estimates (option A: the two receptionists do check-in and payment at the shared counter) and layout-b-busy-morning (option B, design option "B: separate payment window": one receptionist on check-in, one on payment at a new window). Our two hand-made results are saved as layout options "A · Busy morning · 20 runs · rough estimates" and "B · Separate payment window · same morning · 20 runs". All runs are 20 mornings from seed 20261006.

The doctor asks: without hiring anyone (2 receptionists and 2 nurses today; the 2 doctors stay), what is the best way to cut the time from arriving to leaving? Let Laydyne search it instead of us guessing:
- How the four front-desk and nursing staff are split: receptionists and nurses, each at least 1, together at most 4.
- Whether payment shares the counter (layout A) or has its own window (layout B; then check-in and payment staff each at least 1).
- Goal: the shortest average time from arriving to leaving; report the check-in wait, the wait for a doctor and the payment wait too.
- The same 20 mornings and seed.
- How many waiting chairs the best needs: the most people in the waiting area at once, against the 20 chairs we have.

Use search_layouts. The scenarios have fixed staff numbers now, so give them parameters first if you need to (keep everything else the same). Then compare the best with our options A and B using compare_process_options on the saved options, and tell me which differences are beyond the noise. If the best is on layout B, show me its 2D plan; leave the live layout on A when you finish.

Finish with a short table for option A, option B and the search's best: the staff split, payment counter, time from arriving to leaving, check-in wait, doctor wait and peak in the waiting area, with 95 % intervals. Say it is the best of the candidates searched, not a proven optimum, and that the arrival and service times are the doctor's rough guesses.
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