I had an AI agent book a haircut appointment for me. Honestly, I haven't been this excited since forever! @PineAiCallAgent did it all for me, and I recorded the whole process. In case you don't want to watch the video: 1. I said I wanted a haircut 2. I told the agent when and where 3. The agent mentioned that my date didn't work 4. I picked another date 5. I provided my name and my son's name 6. I tipped the agent $1 7. The agent made the call and completed the booking I can't even tell you how much I'll be using this!
How People Are Using AI For Booking Flights, Hotels, Restaurants
In 2025, travelers use agents to plan trips end-to-end, approve flight and hotel purchases, and make restaurant reservations in chat, with prompts specifying budget, amenities, and walkability. Posts show hotel picks matching constraints (e.g., serious gym, walkable, under €300/night), airline bookings with seat selection, and itineraries with packing lists and visa rules; some users keep permissions minimal and want deeper Gmail, Wallet, Maps, and Flights access to reduce switching.
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We’re bringing more advanced agentic and personalized capabilities to AI Mode — here’s what’s new: 🍝 AI Mode can help you find & book restaurant reservations (coming soon as well for event tickets & local appointments) ☕ Results can now be tailored to your personal preferences & interests, starting with dining 🔗 You can share anything you’re inspired by in AI Mode just by tapping the “Share” button, which allows your contacts to jump into and engage w/ the AI Mode response right where you left off 📍 AI Mode is coming to more places, expanding to over 180 new countries and territories in English Learn more and get availability details here → https://t.co/JleuIlaQiF
✈️Prepare for takeoff ✈️ … Today we’re launching Flight Deals, a new AI-powered search tool within Google Flights. Just describe when, where and how you want to travel (as you would to a friend) and Flight Deals will find the best bargains available. https://t.co/VZVqe3vRkG
Need a table? Just ask. Perplexity is partnering with @OpenTable to bring restaurant reservations directly into Perplexity products. https://t.co/ykWIo2zb4r
Comet as a Travel Agent booking @united tickets including seat selection https://t.co/zfL2D5dDL0
🚨BREAKING: this AI agent tells you how to manage your money for a trip better than any travel agent it booked flights, picked the best cities, built a full itinerary, broke down daily costs, and even found visa tips & ways to save $500 here's how: https://t.co/UC6DJgtMqu
Today we launched a new product called ChatGPT Agent. Agent represents a new level of capability for AI systems and can accomplish some remarkable, complex tasks for you using its own computer. It combines the spirit of Deep Research and Operator, but is more powerful than that may sound—it can think for a long time, use some tools, think some more, take some actions, think some more, etc. For example, we showed a demo in our launch of preparing for a friend’s wedding: buying an outfit, booking travel, choosing a gift, etc. We also showed an example of analyzing data and creating a presentation for work. Although the utility is significant, so are the potential risks. We have built a lot of safeguards and warnings into it, and broader mitigations than we’ve ever developed before from robust training to system safeguards to user controls, but we can’t anticipate everything. In the spirit of iterative deployment, we are going to warn users heavily and give users freedom to take actions carefully if they want to. I would explain this to my own family as cutting edge and experimental; a chance to try the future, but not something I’d yet use for high-stakes uses or with a lot of personal information until we have a chance to study and improve it in the wild. We don’t know exactly what the impacts are going to be, but bad actors may try to “trick” users’ AI agents into giving private information they shouldn’t and take actions they shouldn’t, in ways we can’t predict. We recommend giving agents the minimum access required to complete a task to reduce privacy and security risks. For example, I can give Agent access to my calendar to find a time that works for a group dinner. But I don’t need to give it any access if I’m just asking it to buy me some clothes. There is more risk in tasks like “Look at my emails that came in overnight and do whatever you need to do to address them, don’t ask any follow up questions”. This could lead to untrusted content from a malicious email tricking the model into leaking your data. We think it’s important to begin learning from contact with reality, and that people adopt these tools carefully and slowly as we better quantify and mitigate the potential risks involved. As with other new levels of capability, society, the technology, and the risk mitigation strategy will need to co-evolve.
Just launched ChatGPT Agent (sorry GPT-5 waiters, it is coming!), the most capable AI agent model to date! It has been such an honor to be part of a crazy sprint to get this amazing model trained and shipped together with an absolutely gem team (@isafulf , @caseychu9 , @EdwardSun0909 , @josh_tobin_ Yash Kumar and many more)! I am so proud of this project, so I want to share some highlights, personal takes and lessons learned while working on it: 1. Used for research 📕 + actions 💻 + slides generation: Deep Research can do research. Operator can take actions for you. ChatGPT Agent can do both at the same time! E.g. you can ask it to make a plan for a trip to Hawaii, find good deals on hotels and flights, and book them on your behalf using its own computer! It can also generate slides! 2. Power of end-to-end RL: How do we build it? You guess it right! It is us, @OpenAI RL diehards. You are probably tired of hearing about RL scaling. Me, too. But when I feel its power first-hand, its effectiveness and data efficiency still shock me and feel like magic 🪄. 3. First OpenAI model of high biorisk 💀: Not sure this is something I should proud of or not :) For an ex-AI bio PhD researcher like me, this is something a bit personal. One one hand, many of my biomedicine researcher friends tell me that AI agents have significantly helped with their research. On the other hand, such a capable model can amplify the risk of malicious actors building bioweapons. Our safety team has done incredible work to mitigate the risks. 4. Collaboration with users 👪 is core: We want our AI to augment and enhance humans, not to replace them, so we work hard to make the model good at collaborating with the user. You can type a message at anytime to interrupt it and steer it to new directions. The model will always confirm with you before taking actions like buying things for you or deleting a file on your google drive. And the model will ask clarification questions only when it needs more clarity from you! 5. How to generate good slides: As in other cases, writing a well-specified prompt always helps! Also try first telling it to generate a report, then convert the report into slides! 6. Real-world performance > benchmark chasing: One thing outside people may not know about us is how little attention we pay to external benchmarks during the model dev process. We do not focus on hill-climbing on them, and we do not care that much about how we end up on the leaderboard. That said, as a byproduct of our pursuit to great real-world performance and true intelligence, ChatGPT Agent does crush many benchmarks! Wanna learn more? Read our blog linked in the end! In the end, I want to shout out to my amazing team again. These extremely talented and kind people are the reason why OpenAI is constantly making magic like this! ❤️ Also please try ChatGPT Agent and give us feedback! You can reply here in the thread or my DM is open. This is just the start. We will continue working hard towards more and more capable super-human AI agents! 🤖 https://t.co/faTtIYHOLM
Ramp Price Drop has… dropped. Now, book a hotel through Ramp Travel and our AI will automatically rebook it if the price drops. Same accommodations, lower rate. All without lifting a finger. https://t.co/PhgDTRYfu3