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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

Build and launch a Shopify site with an AI developer

I used Claude to help my brother-in-law build a Shopify website for his e-commerce store. By sharing screenshots, design references, and business requirements, I had Claude generate Liquid code, troubleshoot theme issues, modify page layouts, and explain exactly where changes needed to be made within Shopify. Instead of digging through forums and documentation for every issue, Claude acted like an on-demand Shopify developer, helping with everything. It sped up development, allowing the site to move from concept to launch much faster. Step-by-step: 1. I shared screenshots, design references, and the business requirements for the Shopify store with Claude. 2. I asked it to generate the Liquid code needed for the theme and explain where each change belonged in Shopify. 3. I used it to modify page layouts and translate visual feedback into specific code changes. 4. When theme issues appeared, I brought the errors and screenshots back to Claude for troubleshooting. 5. I repeated that loop until the store moved from concept to a working launch.

Shubham Sharma
  • Claude
  • Shopify
0

How AI agents run half my startup: smart deals, trades, services marketplace, dev process, and security testing

I use AI agents across roughly half of my startup, including search, security testing, development, and affiliate integrations. - Smart Shopping Deals search: It never relies on a single AI provider. I use a chain of backup providers for LLM-based search and embeddings with pgvector. If one provider fails or times out, the system silently retries with the next. A slow provider never hangs the request, and users never see the failure. In the worst case, the system falls back to plain search. - Security testing: I run the autonomous AI security agent Strix against my live preview after every deploy. It actively attacks the app the way a hacker would. - Development workflow: My real “team” is a four-layer testing rule enforced by the AI itself. Every feature has to ship with backend tests, component tests, full browser end-to-end tests, and test-data setup, all in the same commit. Claude Code doesn’t consider a feature “done” until all four exist—not just the code. - Affiliate parsing: One parser handles every affiliate network. I paste in the raw ad code from any network, and the same parser automatically extracts the banner link, image, and destination URL. No network-specific code is needed.

Ram Mullapudi
  • Claude Code
2