Workflow Hub

Share your best AI workflow. We could show it to 2M+ people.

Every day, we feature the community's top-voted AI workflow in The Rundown newsletter.

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

A shareable version of my own knowledge: one link that answers questions the way I would

I make content—posts, articles, and videos—and it brings people to my site. But most visitors would skim for 30 seconds and leave, and nobody used my contact form. So I built an AI version of myself. I trained it on my own content, including my posts, articles, notes, knowledge, and the way I explain things. It learned not only what I know, but also how I talk and think. Now it lives on my site and chats with visitors in my voice. As it chats, it identifies who’s a real lead and sends those people to me with the full story. Visitors can ask questions, get answers in my voice, and follow up as deeply as they want. Step-by-step: 1. I collected my content, posts, articles, notes, knowledge, and explanations. 2. I trained an AI version of myself on that material, including how I talk and think. 3. I created a link and placed the AI on my site. 4. Visitors ask questions and receive answers in my voice. 5. The AI identifies real leads and sends them to me with the full conversation and context.

Hadi Bavili Tabrizi
6

Find viral social clips and turn them into captioned videos

I have been testing Perplexity Computer, and it really makes you rethink a lot of workflows. It has been particularly useful for surfacing interesting and viral social content across X and Reddit, with internet search abilities that seem much more capable for quick canvassing of different platforms. I have also used it for clipping and captioning video content for social, with Computer able to find, transcribe, give recommendations on the most viral quotes/sections, and caption in just minutes — a wild process that would normally take me (with little video experience) much longer and have to leverage a ton of different apps to make happen. Step-by-step: 1. I used Perplexity Computer to canvass X and Reddit for interesting social content with signs of viral momentum. 2. I narrowed the results to the posts and videos worth developing further. 3. I had Computer find and transcribe the source video content. 4. I asked it to recommend the strongest quotes and sections for short-form clips. 5. I used the same workflow to clip and caption the selected sections in minutes.

Zach Mink
  • Perplexity Computer
  • X
  • Reddit
0

Draft Meetup Event Listings in a Consistent Voice with Claude

Writing event copy used to take me an hour. Now, it takes a conversation. In this video, I show how I use Claude Opus 4.7 to draft a Meetup listing for the Christchurch Artificial Intelligence Meetup in the same voice, tone, and structure as my previous events. I provide a few past examples, ask Claude to reflect on the format, and then give it the raw content for the next event. Step-by-step: 1. I provide Claude with a few examples of previous Christchurch Artificial Intelligence Meetup listings. 2. I ask Claude to reflect on the voice, tone, and structure used in those examples. 3. I hand over the raw content for the next event. 4. Claude uses the examples and format analysis to draft the new Meetup listing.

Caelan Huntress
  • Claude
1

Brainstorm and refine newsletter art with Nano Banana Pro

Nano Banana Pro has been a step change both for staying true to prompts and also being able to take its own creative liberties. The ability to talk through prompt brainstorming, image edits, and even providing context directly from our newsletter has made for some highly personalized new creative paths. Step-by-step: 1. I gave Nano Banana Pro the newsletter context and the creative goal for the image. 2. I used conversation to brainstorm several possible prompt directions before generating. 3. I created initial images and evaluated both prompt fidelity and the model’s useful creative choices. 4. I described the edits I wanted and kept the relevant newsletter context in the conversation. 5. I iterated toward a more personalized final creative rather than restarting from a generic prompt.

Zach Mink
  • Nano Banana Pro
0

Create a consistent editorial illustration style with two image models

I use Ideogram and Reve for newsletter images, and they're impressively good even with minimal prompts. I'll set a general style and tone, and they consistently deliver solid renderings of the tech personalities we cover — the style has become part of our storytelling. Step-by-step: 1. I defined the general style and tone I wanted the newsletter illustrations to share. 2. I prompted both Ideogram and Reve with the same editorial subject and visual direction. 3. I compared which model produced the strongest rendering for each tech personality. 4. I refined the selected image while preserving the recurring style. 5. I reused the visual language across editions until it became part of the newsletter’s storytelling.

Jennifer Mossalgue
  • Ideogram
  • Reve
0