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Coordinate Urgent Veterinary Dental Surgery With ChatGPT

I used ChatGPT as an emergency care coordinator for my dog, Mopsy. My 10-year-old dog developed a dental abscess that caused severe swelling around her eye. An ophthalmologist told us that the pressure was already damaging her eye and had partially torn her retina, so treating the infected tooth quickly became urgent. I started calling veterinary offices myself, but I repeatedly hit the same obstacles: emergency hospitals did not perform dental surgery, specialty dentists were booked, and most primary-care veterinarians required a consultation, bloodwork, and a separate surgical appointment. After more than a dozen calls and over two hours of research and calling, I was overwhelmed and asked ChatGPT to help. ChatGPT researched veterinary practices within an hour’s drive of my house, filtered for clinics that actually performed dental extractions or oral surgery, found their contact information, and sent urgent, individualized emails from my Gmail. The emails explained Mopsy’s situation and asked each practice to call me if they could fit her in for surgery within 48 hours. We ultimately contacted more than 20 practices. At the same time, ChatGPT created a live outreach tracker containing every clinic we had called or emailed, along with phone numbers, email addresses, availability, responses, status, and next steps. I shared it with my husband so we could stay up to date as ChatGPT worked. When veterinary offices replied to my emails, ChatGPT read the responses in Gmail and updated the shared spreadsheet, allowing both of us to see what was happening without duplicating work. In less than half an hour, one veterinarian responded that they could evaluate Mopsy the next morning, run her pre-anesthetic bloodwork on-site, review the results immediately, and take her straight back for surgery if she was cleared. What started as me frantically calling veterinary offices one at a time became an AI-supported search, outreach, and tracking operation. I still made the medical decisions and handled the phone calls that mattered, but I only had to speak with viable options. AI took over the repetitive research, emailing, organization, and response tracking that I did not have the bandwidth to handle during an emergency. Step-by-step: 1. I began calling veterinary offices to find urgent dental surgery for Mopsy. 2. I documented the barriers I encountered, including emergency hospitals without dental surgery, booked specialty dentists, and primary-care veterinarians requiring multiple appointments. 3. I asked ChatGPT to research practices within an hour’s drive that performed dental extractions or oral surgery. 4. ChatGPT gathered each clinic’s contact information and sent individualized urgent emails from my Gmail explaining Mopsy’s condition and asking about surgery within 48 hours. 5. ChatGPT contacted more than 20 practices and created a shared live tracker with each clinic’s contact details, availability, responses, status, and next steps. 6. As replies arrived in Gmail, ChatGPT read them and updated the shared spreadsheet so my husband and I could coordinate without duplicating work. 7. I made the medical decisions and handled phone calls with viable options. One veterinarian ultimately offered an evaluation, on-site bloodwork, and possible same-day surgery the next morning.

Anon Stingray
  • ChatGPT
3

Manus analyzed my water usage patterns to identify conservation opportunities

I live in a state experiencing extreme drought conditions, and my water provider recently notified us of new fees for excess usage. That prompted me to dictate nearly 10 years of monthly water bills to Manus by reading each date and gallon total aloud. I then asked it to cross-reference my usage with local temperature and precipitation records for Eden, Utah. The analysis found that temperature explains 51% of the variation in my water usage, while precipitation explains 19%. That suggests roughly 30% is driven by my own choices—a significant opportunity for conscious water stewardship. It took about an hour of conversation to build the entire dataset from scratch. Step-by-step: 1. I read the date and gallon total from each monthly water bill aloud to Manus. 2. I asked Manus to organize nearly 10 years of usage data into a dataset. 3. I asked it to cross-reference my usage with local temperature and precipitation records for Eden, Utah. 4. I reviewed the analysis showing that temperature explained 51% of usage variation, precipitation explained 19%, and roughly 30% was associated with my own choices. 5. I identified that remaining 30% as an opportunity for more conscious water stewardship.

Jeannette Maw
  • Manus
2

Build a one-click retro football sticker search tool with Claude

As a hobby/non-work-related creative outlet, I've started to write and create YouTube videos about retro football (soccer) stories. Part of the visuals are vintage stickers of the players mentioned. This used to be a time-intensive Google/eBay search when I was looking for 20+ players at a time. So I used Claude to build a local "Sticker Search" tool. It lets me enter the player, season, and team, find their sticker from that year, and download it to my working folder with one click. It's made my hobby way more fun and sped up the tiresome bit. P.S. I used Billy's guide on Manus to create the animated logo for the videos! Step-by-step: 1. I listed the inputs I needed for each search: player, team, and season. 2. I used Claude to build the local Sticker Search interface and search logic. 3. I added recent-search shortcuts so I could repeat or refine searches quickly. 4. I made each result downloadable with one click to my working folder. 5. I used Billy's Manus guide to create the animated logo for the videos.

Ben Sinden
  • Claude
  • Manus
0

Made tracking Little League hitters’ tendencies easier with Manus

I like to chart the tendencies of the Little League hitters I coach. I track their hot zones, how they perform when they’re ahead or behind in the count, and where they chase pitches outside the strike zone. Manus built an app that lets me use a phone or tablet to chart every pitch in each at-bat. It compiles the data into CSV files and visual charts showing swing percentage, whiff percentage, contact percentage, and on-base percentage. The hitters can view the charts during games. Step-by-step: 1. I identify the hitting tendencies I want to track, including hot zones, performance by count, and pitches chased outside the strike zone. 2. I use a phone or tablet to chart every pitch in each at-bat. 3. I use the app to compile the data into CSV files and visual charts. 4. I have the hitters review the charts during games.

Anon Flamingo
  • Manus
0

Créer un SaaS d’automatisation avec un dashboard IA de service client

Je veux créer N’ose Digital IA, un SaaS international dédié à l’automatisation et conçu de A à Z comme un véritable business SaaS, avec l’IA au cœur de la plateforme. Le projet comprend un dashboard IA de service client ainsi qu’un agent vocal qui répond aux clients et s’appelle « Client ». Step-by-step: 1. Créer le SaaS N’ose Digital IA. 2. Optimiser la plateforme autour de l’automatisation. 3. Concevoir un dashboard IA dédié au service client. 4. Intégrer un agent vocal appelé « Client » pour répondre aux clients. 5. Développer la plateforme comme un business SaaS international, avec l’IA au cœur du projet.

John Basse
  • ChatGPT
  • Claude Code
  • Manus
  • Perplexity
0

Search a 50-page scanned PDF for one name

My sister asked me to check if my niece's name appeared in the preliminary school enrollment results. But the list uploaded online was a PDF with 50+ page photographs. Going through all of it would have been a headache — so I put Manus to work. I provided a link to the results, and Manus searched through all of it, checking each document page by page. After about 15 minutes, it found her name and all the relevant details. This saved me from having to manually search through pages of results across multiple categories. Step-by-step: 1. I gave Manus the link to the school’s preliminary enrollment results. 2. I supplied the exact name I needed to find and the context that the PDF contained photographed pages. 3. I asked Manus to inspect the document page by page rather than relying on normal searchable PDF text. 4. I let it search across more than 50 pages and multiple categories. 5. I reviewed the page and details it returned to confirm that it had found the correct person.

Shubham Sharma
  • Manus
0