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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

Turn Trending Reels and TikToks Into Ad Ideas with Apify and Claude

Organic social content is one of the best sources of ideas for ads, so I built a workflow that finds short-form videos performing well in my niches, analyzes why they work, and rewrites the strongest hooks for my brand. Apify scrapes Instagram Reels by hashtag and TikTok videos by keyword across three niches: AI, productivity, and career growth. The workflow filters for English-language videos posted within the last 15 days that are 15–90 seconds long and have more than 50,000 plays. It then ranks them by engagement rate rather than views alone. A simple log file tracks every video I’ve already analyzed, so the workflow doesn’t process the same video twice. ElevenLabs transcribes each video’s audio. Claude then extracts the exact opening line, identifies the hook formula and video structure, and writes a version of the hook for my brand. Everything is compiled into one dated document with the top three discoveries, the strongest hook from the run, and any new patterns I haven’t tried yet. With one command—"Run research"—I get about 20 proven hooks and video structures to test in ads for less than $1 per run. Step-by-step: 1. I use Apify to scrape Instagram Reels by hashtag and TikTok videos by keyword across the AI, productivity, and career growth niches. 2. I filter the results for English-language videos posted within the last 15 days, 15–90 seconds long, with more than 50,000 plays. 3. I rank the remaining videos by engagement rate instead of views alone. 4. I check a log file to skip videos I’ve already analyzed. 5. I use ElevenLabs to transcribe each video’s audio. 6. I ask Claude to extract each video’s exact opening line, hook formula, and structure, then rewrite the hook for my brand. 7. I compile the results into one dated document with the top three discoveries, the strongest hook from the run, and new patterns to test. 8. I run the workflow with the command "Run research" to generate about 20 hooks and video structures for ad testing at a cost of less than $1 per run.

Rishi Lalwani
  • Claude Code
  • Apify
0

Build a self-improving ad scriptwriting system

I connected Claude Code to Apify's API to scrape high-performing content from IG/TikTok for ad creative inspiration, and to ElevenLabs' API to automatically transcribe videos — so I can analyze not just visuals, but the exact hooks, pacing, and language top creators are using. From there, I developed a scriptwriting system that takes rough thoughts on a hook and angle and turns them into ad scripts, drawing inspiration from winners and applying proven copywriting principles. After generating, it also grades itself against a 12-point rubric. If it doesn't score at least 90%, it rewrites until it does. I then feed it back in and say, "This is the final version." It analyzes the changes I made and updates its understanding of my style. Step-by-step: 1. I connected Claude Code to Apify’s API for collecting high-performing Instagram and TikTok content. 2. I connected ElevenLabs’ API so the workflow could automatically transcribe each video. 3. I analyzed the winning examples for their hooks, pacing, visual patterns, and exact language. 4. I fed the system a rough hook and angle and had it draft ad scripts using those proven patterns. 5. I created a 12-point grading rubric and required a rewrite whenever a script scored below 90%. 6. After making my own final edits, I fed the approved version back into the system so it could learn my style.

Rishi Lalwani
  • Claude Code
  • Apify
  • ElevenLabs
1

Built a Bandcamp scraper to connect with bands and offer mixing and mastering services

I built a band scraper to identify bands on Bandcamp, interact with them, and offer mixing and mastering services. A daily cron job runs an Apify Bandcamp scraper, stores the data, and supports a website hosted on Lightsail. Step-by-step: 1. I configured an Apify Bandcamp scraper to collect band data. 2. I scheduled the scraper to run daily with a cron job. 3. I stored the collected data. 4. I used the data to interact with bands and offer mixing and mastering services through a website hosted on Lightsail.

Michael Williams
  • Claude Code
  • Apify
3