I Tested ChatGPT Agent on 5 Everyday Tasks — Here’s What I Learned
In the ever-evolving landscape of artificial intelligence, the introduction of autonomous AI agents marks a significant leap forward. OpenAI’s new ChatGPT Agent is one such innovation that aims to go beyond answering questions — it’s designed to take action. To put this promise to the test, tech writer Amanda Caswell at Tom’s Guide tried out ChatGPT Agent on five real-world, everyday tasks. Her experiment revealed both the impressive capabilities and current limitations of this emerging AI feature.
Below is a comprehensive look into her experience, what ChatGPT Agent managed to accomplish, and where it still needs improvement.
What Is the ChatGPT Agent?
Unlike the traditional ChatGPT experience that stops at giving suggestions, the new Agent feature can actually perform tasks on your behalf. It’s powered by OpenAI’s GPT-4o and combines various tools including web browsing, code execution, and third-party service integration. Think of it as a digital assistant that doesn’t just give you directions — it drives the car too, while asking for your approval at key intersections.
At present, this capability is being rolled out gradually to Plus, Pro, and Team plan users of ChatGPT, with a focus on safety, user consent, and utility in handling repetitive, multi-step digital tasks.
The Test: 5 Everyday Challenges
Amanda Caswell put the ChatGPT Agent through a diverse set of challenges to understand its strengths and limitations. Each task mirrored a real-world activity that an average user might perform on a busy weekday.
1. Finding and Buying a Hard-to-Get Toy
The first test involved locating and purchasing a specific and somewhat rare toy — a Labubu figure. Typically, such a task would involve trawling through niche online stores, checking availability, comparing prices, and completing the checkout process.
What happened?
- ChatGPT Agent located the item within six minutes.
- It added the toy to the shopping cart and proceeded to checkout.
- It asked for user approval before making the final purchase.
Verdict: This was one of the Agent’s most impressive performances. Compared to a traditional Google search, which can take significantly more time and manual effort, the Agent streamlined the process and made it seamless — a big win for online shopping automation.
2. Planning a Family Vacation
For the second task, the Agent was asked to plan a four-day family trip, including flights, hotels, and kid-friendly activities. This involved coordination between multiple services — something that usually takes hours of research.
What happened?
- The Agent compiled an itinerary that included destinations, hotel options, travel times, and even recreational activities for children.
- It created a detailed plan and exported the entire itinerary into a Google Doc.
- There was a minor crash mid-task, but it resumed after a restart.
- It paused for user approval before making any bookings.
Verdict: Though not flawless, the Agent’s ability to synthesize and organize a trip plan in one place was highly valuable. It won’t completely replace a travel agent just yet, but for the average user, it saves substantial planning time.
3. Creating a Weekly Meal Plan and Grocery List
In this task, the Agent was asked to create a five-day healthy dinner plan, ensuring meals were under 600 calories, and then generate a categorized grocery list.
What happened?
- The Agent suggested balanced, nutritious meal ideas.
- It created a detailed shopping list grouped by category (produce, dairy, protein, etc.).
- It checked prices via Instacart integration and exported the list to Google Sheets.
Verdict: The Agent excelled here. The combination of meal planning, nutritional goals, grocery budgeting, and list organization made this task a standout. It significantly reduces the cognitive load of weekly meal prep.
4. Ordering Lunch via DoorDash
For a simpler challenge, the Agent was instructed to order a chicken Caesar wrap through DoorDash — a common task many people do on their phones.
What happened?
- The Agent identified a nearby restaurant and found the desired wrap.
- It ran into a minor hiccup with DoorDash’s guest checkout system.
- It required manual entry of a ZIP code and user approval to complete the order.
Verdict: While functional, this task exposed some of the friction points in AI task execution. Since food ordering apps often require logins or specific delivery details, the Agent’s role here was limited. It wasn’t necessarily faster than doing it manually, though it showed potential.
5. Booking a DMV Appointment
Finally, the Agent was tasked with scheduling a driver’s license renewal at the local DMV — a task infamous for its bureaucracy.
What happened?
- Within just 19 seconds, the Agent found and booked an available slot.
- It handled the form inputs and user preferences efficiently.
Verdict: This was perhaps the clearest example of AI at its best: speeding through a notoriously tedious process with surgical precision. The result was a seamless experience that saved the user time and frustration.
The Bigger Picture: What Does This Mean for Everyday Users?
OpenAI’s ChatGPT Agent offers a glimpse into the future of AI-powered task management. Here’s what we can take away:
✅ Strengths
- Task automation: Particularly powerful for time-consuming tasks that involve multiple steps and services.
- Planning: From meal prep to travel itineraries, the Agent simplifies organization.
- Efficiency: Tasks like scheduling appointments or building spreadsheets are completed much faster than manually.
❌ Limitations
- Crashes & bugs: The tool is still in development and may experience stability issues.
- Human review needed: Sensitive actions like purchases or sign-ups always require user approval — a necessary safety feature, but one that limits full automation.
- Limited in fluid tasks: For unpredictable or highly personalized interactions (like lunch ordering), the benefit is less dramatic.
ChatGPT Agent vs. Traditional AI Chatbots
What sets ChatGPT Agent apart from traditional bots is agency. It doesn’t just provide information; it follows through on actions. While tools like Siri or Alexa can respond to commands, ChatGPT Agent can execute multi-step sequences like a digital assistant — a significant evolution in user-AI interaction.
It still requires supervision, and it’s not immune to bugs, but its ability to navigate the web, book services, interact with APIs, and manage files makes it a powerful productivity companion.
A Digital Assistant for the Real World?
The verdict from Amanda Caswell’s experiment is clear: ChatGPT Agent is not perfect, but it’s a remarkable step forward. For users who don’t have personal assistants — and even for those who do — this feature promises to streamline day-to-day life in meaningful ways.
Whether you’re planning a trip, preparing dinner, scheduling appointments, or shopping online, the Agent can take on the heavy lifting. As the technology matures, we may soon find ourselves offloading even more digital tasks — freeing up time for what really matters.
For now, if you’re a Plus, Pro, or Team user, it’s worth exploring what this AI can do for you — as long as you’re ready to step in when needed. After all, even the smartest assistant still needs a manager.
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