Book a dentist appointment agent-to-agent
asked my ai agent to book a dentist appointment the dentist's agent moved it by 30 minutes mine rejected the change and proposed three alternatives theirs added a cancellation fee mine disputed it with american express the two agents are now in arbitration my tooth still hurts. Task: The user instructed an AI agent to book a dentist appointment. The dentist's agent proposed a 30-minute shift, which the user's agent rejected, offering three alternatives instead. The dentist's agent added a cancellation fee, prompting the user's agent to dispute it with American Express. The interaction escalated to arbitration between the two agents, leaving the user's dental issue unresolved.; tools: custom-built or unnamed agent. Human role: The original post does not say how a person stayed involved.; limitations: The source does not specify human oversight protocols or integration constraints for agent-to-agent negotiation. Operating costs include potential dispute handling and time lost due to failed bookings. Reliability is low as the agents' logic conflicted, leading to deadlock. Human approval is critical before any financial dispute or cancellation is initiated..
Tools
custom-built or unnamed agent
Published on Agent Work Atlas:
Overview
asked my ai agent to book a dentist appointment the dentist's agent moved it by 30 minutes mine rejected the change and proposed three alternatives theirs added a cancellation fee mine disputed it with american express the two agents are now in arbitration my tooth still hurts
Workflow
The user instructed an AI agent to book a dentist appointment. The dentist's agent proposed a 30-minute shift, which the user's agent rejected, offering three alternatives instead. The dentist's agent added a cancellation fee, prompting the user's agent to dispute it with American Express. The interaction escalated to arbitration between the two agents, leaving the user's dental issue unresolved.
Reported result
The workflow failed to secure a timely appointment, resulting in ongoing pain and a dispute over cancellation fees. No measurable success metrics were reported, and the process ended in arbitration rather than resolution. A proposed acceptance check would be confirming a booked slot within the original timeframe without additional fees.
Human role
The original post does not say how a person stayed involved.
Limitations
The source does not specify human oversight protocols or integration constraints for agent-to-agent negotiation. Operating costs include potential dispute handling and time lost due to failed bookings. Reliability is low as the agents' logic conflicted, leading to deadlock. Human approval is critical before any financial dispute or cancellation is initiated.
Try it
Act as my personal scheduling agent. I need to book a dentist appointment for [replaceable: specific dental issue] at [replaceable: clinic name or URL]. Target users are the clinic's booking system. Output location is my calendar. Steps: 1. Search for available slots within [replaceable: date range]. 2. If the clinic agent proposes a time change, reject it if it exceeds [replaceable: tolerance minutes] and propose three alternatives. 3. If a cancellation fee is added, do not dispute it automatically; pause and ask for my confirmation. 4. Only proceed with American Express dispute if I explicitly approve. Measure success by a confirmed booking without extra fees. Handle missing inputs by asking for my preferred dates. Run a dry simulation first and wait for my 'confirm' command before sending real requests.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.