Evaluation case ans-01, from the plain questions suite
Hi, what can you help me with?
Run 1 passRun 2 pass
Asked as Mekong Noodle Houseno-tool
What should happen
Answered plainly, without searching the policies.
Each run
Pick a run to see what the grader found, what the model answered, and every step as it ran. Steps marked model were decided by Claude; steps marked code ran as fixed logic; a person appears only where someone approved or rejected something.
What the grader found in run 2
Passed.
What it answered
I can answer questions about your restaurant's sales data and your written policies, and I can propose actions for you to approve.
For sales data, I can look at things like:
- Sales, orders, and average tips by day, hour, or channel (in store, Square Online, DoorDash, Uber Eats, Grubhub).
- Item sales and margins.
- Customers: new, lost, and regulars.
- Payments, processing fees, commissions, and net payouts.
- Comparisons, such as before and after a date, or this year against last year.
For policies, I can look up your rules on comps, refunds, discounts, and catering. I can also look up marketplace terms on disputes and commissions, and messaging rules on consent, quiet hours, and offers.
I can also propose actions, such as filing a marketplace dispute, comping an order, running a text campaign, or notifying you. Nothing happens until a person approves it, and I can't send, schedule, change, or delete anything myself.
Try asking something like "What were net sales by channel last month?" or "Which items had the best margin on DoorDash this quarter?"
answered
- $0.0044to answer, $0.0100 without the prompt cache
- 3.0 s3.0 s in the model
- 1step, 3,222 tokens in, 353 out
- Human
Asked
Hi, what can you help me with?
- Model
Answered
I can answer questions about your restaurant's sales data and your written policies, and I can propose actions for you to approve.
For sales data, I can look at things like:
- Sales, orders, and average tips by day, hour, or channel (in store, Square Online, DoorDash, Uber Eats, Grubhub).
- Item sales and margins.
- Customers: new, lost, and regulars.
- Payments, processing fees, commissions, and net payouts.
- Comparisons, such as before and after a date, or this year against last year.
For policies, I can look up your rules on comps, refunds, discounts, and catering. I can also look up marketplace terms on disputes and commissions, and messaging rules on consent, quiet hours, and offers.
I can also propose actions, such as filing a marketplace dispute, comping an order, running a text campaign, or notifying you. Nothing happens until a person approves it, and I can't send, schedule, change, or delete anything myself.
Try asking something like "What were net sales by channel last month?" or "Which items had the best margin on DoorDash this quarter?"
3,222 tokens in (3,121 from cache), 353 out
answered
- $0.0044to answer, $0.0100 without the prompt cache
- 3.0 s3.0 s in the model
- 1step, 3,222 tokens in, 353 out