Model Parameter

Use focused_action with model="Sonnet 4 (Thinking)" to verify the order status

Take screenshot with extract_prompt="Extract invoice data" and model="Sonnet 4.5"

Navigate to the patient records system and log in.

Use focused_action with model="Sonnet 4 (Thinking)" to find the patient 
whose name is {patient_name} and MRN ends with {mrn_suffix}. This requires 
careful reasoning to match the correct record.

Once on the patient chart, take a screenshot with extract_prompt="Extract 
all vital signs as JSON: {blood_pressure, heart_rate, temperature, 
oxygen_saturation}" and model="Sonnet 4.5"

Navigate to the lab results tab and extract data from each page:
- Take screenshot with extract_prompt="Extract lab results as JSON array" 
  and model="Sonnet 4.5" and process_async="batch"
- Scroll down
- Repeat until all results captured

Open the invoice management portal.

Search for invoice {invoice_number} and open the details page.

Use focused_action with model="Sonnet 4 (Thinking)" to verify this is 
the correct invoice by checking the customer name matches {customer_name} 
and the date is {invoice_date}.

Take a screenshot with extract_prompt="Extract complete invoice data: 
invoice_number, date, customer info, all line items with descriptions 
and amounts, subtotal, tax, and total. Format as detailed JSON." 
and model="Sonnet 4.5" and process_async="run"

Continue to the next invoice while extraction runs in background.

Navigate to the appointment scheduling system.

Use focused_action with model="Sonnet 4 (Thinking)" to analyze the 
calendar and find an available slot that meets ALL criteria:
- Day is {preferred_day}
- Time is between {earliest_time} and {latest_time}
- Provider is {preferred_doctor}
- Duration allows for {appointment_length} minutes

If no slot meets all criteria, use focused_action with model="Sonnet 4 (Thinking)" 
to find the closest alternative and explain the tradeoff.

Click to book the selected slot.

Open the product catalog and navigate to category {category_name}.

For each page of products:
- Take screenshot with extract_prompt="Extract all visible products as JSON: 
  {sku, name, price, stock_status, rating}" and model="Sonnet 4.5" 
  and process_async="batch"
- Scroll to next page
- Repeat until end of catalog

All extractions use the same fast model for consistent results and cost.

Submit the insurance claim form.

Use focused_action with model="Sonnet 4 (Thinking)" to analyze the 
confirmation screen:
- Verify the claim ID is displayed
- Check that all submitted fields match our input values
- Identify any warnings or additional steps required
- Save the claim ID as {{claim_id}}

If any discrepancies are found, use declare_task_failed with details.

Take screenshot with extract_prompt="Extract confirmation details: 
claim_id, submission_date, estimated_processing_time, any reference 
numbers" and model="Sonnet 4.5"

Open the monthly financial report.

Fast clipboard extraction for key fields:
- Triple-click Report Date field, use copy_to_clipboard with key "report_date"
- Triple-click Total Revenue field, use copy_to_clipboard with key "total_revenue"

Vision extraction for complex content:
- Take screenshot of the revenue breakdown chart with extract_prompt=
  "Extract revenue by category from this chart as JSON" and model="Sonnet 4.5"

- Take screenshot of the expenses table with extract_prompt=
  "Extract all expense line items as JSON array" and model="Sonnet 4.5" 
  and process_async="batch"

Dynamic verification:
- Use focused_action with model="Sonnet 4 (Thinking)" to verify the totals 
  in the summary section match the detailed breakdowns