ChatGPT Agent Built a 10-Restaurant Google Maps List in About 23 Minutes — Slow but Done
Before a vacation, Frank Andrade asked ChatGPT Agent to find the best restaurants in his destination city and build a saved Google Maps list with signature-dish notes. The agent picked 10 restaurants, gathered their signature dishes, paused for the user to enter Google credentials, and finished in about 23 minutes. He calls it slow and not fully hands-off. Figures are as reported by the author; this site has not independently re-tested them. Task: 1. Gave the task: city + "best restaurants" + signature-dish notes. [Setup] 2. The agent searched, picked 10 restaurants, and gathered signature dishes. [—] 3. At the Google login step, the agent paused; the user took over, entered credentials, and handed control back. [Preparation · Exception handling] 4. The agent created and saved the Maps list. [—]; tools: ChatGPT Agent. Human role: - The user must take over when the agent pauses and enter the Google login credentials. - Fuller division of labor: Not disclosed by the source.; limitations: - Every interruption (including the login handoff) burns an agent credit; the free tier gets 40 messages a month, Pro 400 — login-handoff tasks spend quota on "waiting for a human." - Slow and not fully hands-off (the author's own characterization). - This site verified only that the source link is reachable; the outcome was not independently re-tested..
Tools
Published on Agent Work Atlas:
Overview
Before a vacation, Frank Andrade asked ChatGPT Agent to find the best restaurants in his destination city and build a saved Google Maps list with signature-dish notes. The agent picked 10 restaurants, gathered their signature dishes, paused for the user to enter Google credentials, and finished in about 23 minutes. He calls it slow and not fully hands-off. Figures are as reported by the author; this site has not independently re-tested them.
Workflow
1. Gave the task: city + "best restaurants" + signature-dish notes. [Setup] 2. The agent searched, picked 10 restaurants, and gathered signature dishes. [—] 3. At the Google login step, the agent paused; the user took over, entered credentials, and handed control back. [Preparation · Exception handling] 4. The agent created and saved the Maps list. [—]
Reported result
- The task finished in about 23 minutes and the list was saved (author's account). - The author did not comment on the quality of the selected restaurants. - No other figures were disclosed by the source. (Not independently re-tested by this site.)
Human role
- The user must take over when the agent pauses and enter the Google login credentials. - Fuller division of labor: Not disclosed by the source.
Limitations
- Every interruption (including the login handoff) burns an agent credit; the free tier gets 40 messages a month, Pro 400 — login-handoff tasks spend quota on "waiting for a human." - Slow and not fully hands-off (the author's own characterization). - This site verified only that the source link is reachable; the outcome was not independently re-tested.
Try it
Act as a travel planner using ChatGPT Agent. Task: Find the top 10 restaurants in [City Name] and create a saved Google Maps list with signature dish notes. Steps: 1. Search for highly-rated restaurants in [City Name]. 2. Extract signature dishes for each. 3. Pause and request my Google login credentials to access Maps. 4. Create a new list named '[City Name] Foodie Guide' and add the 10 restaurants with notes. 5. Save the list. Constraints: Do not proceed without my login confirmation. Monitor for UI errors; if stuck for >2 minutes, ask for help. Output: Confirm list creation and provide the Maps link. Quality Check: Verify all 10 entries have dish notes. Dry Run: First, list the 10 restaurants and dishes for my approval before creating the Maps list. Ask clarifying questions if the city or cuisine preference is ambiguous.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.