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During my recent U.S. trip, I had some time to myself and decided to explore solo with ChatGPT as my real-time voice travel guide. I shared my location, what I had already seen, and how much time I had available. ChatGPT built and adjusted my itinerary on the fly, helping me cover more ground, avoid backtracking, and make the most of my time, even when I ran into unexpected car trouble. Chat also pointed out highly rated restaurants with vegetarian options, explained popular menu items I could try, and surfaced deals to pick gifts for my wife. The experience was amazing. The only downside: it drained my phone's battery like crazy. Step-by-step: 1. I opened ChatGPT Voice and shared my current location, how much free time I had, and what I had already seen. 2. I asked it to build a route that would cover the most worthwhile stops without making me backtrack. 3. I kept the voice conversation running and updated it when plans changed, including when I ran into car trouble. 4. I asked for highly rated vegetarian-friendly restaurants and explanations of the menu items worth trying. 5. I also used the same live context to find deals and gift ideas before heading back.

Planning a trip often meant piecing together information from a dozen different places. I might save inspiration from Instagram Reels and carousels, bookmark useful links in my browser, receive booking confirmations as PDFs from different platforms, and have tickets spread across emails and travel apps. By the time the trip got closer, I had all the information I needed—but no easy way to see it together or turn it into a coherent plan. I recently started using an AI travel tool called Mindtrip to solve this. It’s free and brings my saved content, links, bookings, PDFs, and tickets into one place. Mindtrip uses AI to understand the context and organize everything into a single trip, including the tips and hacks in Instagram Reels. It then creates a day-by-day itinerary based on what I’ve saved, liked, and booked. I have one place to see, manage, and adjust my entire trip instead of constantly switching between different sources. It also provides reminders and checklists based on my plans, along with a map view of where I’m supposed to be going. Step-by-step: 1. I saved travel inspiration from Instagram Reels and carousels, bookmarked useful links, and collected booking confirmations, PDFs, and tickets from different platforms, emails, and travel apps. 2. I brought the saved content, links, bookings, PDFs, and tickets into Mindtrip. 3. Mindtrip used AI to understand the context and organize everything into a single trip, including tips and hacks from Instagram Reels. 4. I used the resulting day-by-day itinerary, based on what I had saved, liked, and booked. 5. I used Mindtrip’s reminders, checklists, and map view to manage and adjust the trip in one place.

I first wrote a few paragraphs in ChatGPT explaining what I wanted and asked it to create a detailed prompt for Replit to build the site. Then I bought a domain through GoDaddy, and the site was live online less than an hour after I came up with the idea. Step-by-step: 1. I described my idea for a restaurant recommendation site featuring the top 40 cities in the world to ChatGPT. 2. I asked ChatGPT to create a detailed prompt for Replit. 3. I used the prompt in Replit to build the site. 4. I bought a domain through GoDaddy. 5. I launched the site online less than an hour after coming up with the idea.

I wanted to book a specific cruise, so I used Claude to get Python code that scans sold-out cruise pages for changes in status. If something becomes available, it sends a text message to my phone. Step-by-step: 1. I used Claude to generate Python code. 2. I configured the code to scan sold-out cruise pages for status changes. 3. I set it to text my phone if something becomes available.

I’ve been using the Awish app I built less as an automation builder and more as a way to solve specific business problems people bring me. One hotel client, Aurelia Bay Hotel, had an interesting marketing problem. They could see travel trends across search, Instagram, YouTube, website traffic, and ads, but connecting those signals early enough to spot a real campaign or guest-experience opportunity was difficult. I built an automation for them with Awish and gave it to them to test. Step-by-step: 1. I opened the Awish chat and wrote: “For Aurelia Bay Hotel, monitor Google Trends, YouTube, Instagram, Google Analytics, and Google Ads every day. Find rising interests around Dubai travel, staycations, family trips, wellness, dining, events, and hotel experiences. Cross-check those trends with social engagement, website behavior, and campaign performance. Rank the strongest opportunities, send them to the marketing team in Microsoft Teams for approval, and create a campaign or guest-experience opportunity brief in SharePoint for anything they approve.” 2. Awish understood what I wanted, planned the complete workflow, and selected the apps required for each step. 3. I reviewed the plan, connected the client’s accounts, and approved it. 4. Awish added Microsoft Teams as the human approval step and SharePoint for the final opportunity briefs. 5. Once everything was connected, Awish built the workflow and started running it daily. 6. It now cross-checks trend growth, social engagement, website behavior, and ad performance. When it finds a strong opportunity, the marketing team gets the evidence in Teams. If they approve it, Awish creates the full campaign or guest-experience brief in SharePoint. The useful part is that a trend isn’t treated as an opportunity just because it is growing on one platform. Awish checks whether the same signal is appearing across the business before recommending action. Do you have any time-consuming, repetitive tasks or problematic aspects in your job? I would be happy to develop an automation solution for you as well.

I plan travel day trips for CCRC in Portland, Oregon, using a simple model I created. Before using it, planning each trip took me hours. Now, the model generates a day-trip overview in minutes that I can distribute to CCRC staff, travelers, and the bus driver. The prompts cover the destination and visit details, such as a docent tour or special events; the trip date; lunch requirements for a restaurant that can accommodate 20 guests and provide separate checks; bathroom stops every hour; and bus drop-off, parking, and pickup requirements. Step-by-step: 1. I enter the destination and details about the visit, including docent tours or special events. 2. I add the trip date and specify whether lunch is needed at a restaurant that can accommodate 20 guests and provide separate checks. 3. I include the need for bathroom stops every hour, along with the bus drop-off, parking, and pickup requirements. 4. I use the model to generate a day-trip overview in minutes. 5. I distribute the overview to CCRC staff, the travelers, and the bus driver.

I've never been to Greece, so for my upcoming trip, I went all in and handed the whole itinerary over to Claude. Flights booked, transit times dialed, restaurant lists curated city by city. I'm now showing up with a plan tighter than most travel agents could put together! Step-by-step: 1. I gave Claude the trip context and handed over the responsibility for organizing the full Greece itinerary. 2. I used it to arrange the flights and make sure the travel sequence made sense. 3. I had it work through transit timing between each stop. 4. I asked for curated restaurant lists organized city by city. 5. I reviewed the finished plan as a single itinerary instead of managing each booking and recommendation separately.

My husband and I run a short-term rental business managing two properties we own in Harpers Ferry, WV. A major part of the job is using PriceLabs, a dynamic pricing and revenue management tool that tracks our properties’ performance against the market, including occupancy, prices, and revenue, and recommends price changes when needed. Previously, we had to log in and review multiple dashboards to make informed decisions. Now, every two days we receive a concise morning briefing that summarizes how the month is going and what needs attention. It’s one of the first things I read in the morning, so I know what to adjust in real time. Step-by-step: 1. I connected the data sources Claude needs through MCP connectors: PriceLabs for reservations, pricing, and market data, and Gmail for drafting the output. 2. I wrote the instruction prompt Claude runs each time. This took the most time to develop. 3. I defined the format and length: a short, numbers-first brief of about 200 words, beginning with “How This Month Is Going” and “What Needs Attention,” with no filler or pep-talk tone. 4. I solved delivery by having the routine draft the briefing as an email with a recognizable subject prefix, such as “Iconic Chalet Briefing — Mon, Aug 10.” Because Claude’s Gmail connector can create drafts but not send emails, a separate time-triggered Google Apps Script watches for drafts with that subject prefix and sends them automatically. 5. I registered the workflow as a scheduled Routine. That combination makes the process feel automatic from end to end.

This year, we only have one day—eight hours—at the Fringe, so we needed to decide what to see. We first scanned the roughly 800 available shows and made a shortlist of 38. After a second round, we narrowed it to 21. I gave the shortlist to ChatGPT, including the show times and locations, and asked it to create five itineraries that fit in as many shows as possible, allowed enough time to travel between venues, and finished with a particular show: a Johnny Cash tribute. The five options quickly became two. After one small tweak, we had our plan: five shows, minimal walking, and time to eat in George Square. Step-by-step: 1. I scanned the roughly 800 available shows and created a shortlist of 38. 2. I reviewed the shortlist and narrowed it to 21 shows. 3. I gave ChatGPT the remaining shows, including their times and locations. 4. I asked ChatGPT to create five itineraries that fit in as many shows as possible, allowed time to travel between venues, and finished with the Johnny Cash tribute. 5. I narrowed the options to two, made one small tweak, and chose an itinerary for five shows with minimal walking and time to eat in George Square.

I applied for Schengen visas from India for my wife and me, using Claude to handle the process without an agent. We had two linked applications, with me as her sponsor. The biggest value came from determining which rules actually applied and making sure both files were consistent. Claude used the official checklist and reviewed dozens of recent threads about visa rejections to identify common gaps and ensure our applications addressed them. Initially, I used a generic India-wide checklist. Claude caught that mistake and found the destination’s jurisdiction-specific requirements for New Delhi. This materially changed the application and significantly reduced the paperwork. Each correction removed unnecessary work and saved me a lot of time. Claude drafted the document set, including two cover letters, a sponsorship affidavit for notarization, a self-employment letter, and a day-by-day itinerary. It then kept simplifying the documents and suggested workarounds wherever needed, drawing on the Reddit research. It also cross-checked the finalized forms and documents and flagged human errors, including a missing digit in my mobile number and a checklist box that contradicted the letter beside it. Finally, it helped with the practical details: sequencing our appointments, deciding which documents needed originals or copies, and determining what to do if counter staff asked for something that was not on the governing checklist. Both visas came through. For me, the useful part was having one system research the requirements, build the paperwork, and audit the entire application for inconsistencies before submission. Step-by-step: 1. I gave Claude the details of our two linked Schengen visa applications, including that I was sponsoring my wife. 2. I had Claude review the official checklist and dozens of recent visa-rejection threads to identify common gaps. 3. I asked it to verify the requirements for our destination and the New Delhi jurisdiction instead of relying on a generic India-wide checklist. 4. I used Claude to draft and simplify two cover letters, a sponsorship affidavit for notarization, a self-employment letter, and a day-by-day itinerary. 5. I asked it to suggest workarounds wherever needed, based on the Reddit research. 6. I had Claude cross-check the finalized forms and documents for inconsistencies and human errors, including the missing mobile-number digit and the contradictory checklist box. 7. I used its guidance to sequence our appointments, determine which documents needed originals or copies, and prepare for requests from counter staff that were not on the governing checklist. 8. I submitted the applications after the research, paperwork, and consistency checks were complete.