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

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Whether you joined five minutes ago or you’ve been lurking for months, I want to meet you! Tell us who you are and one thing you’re trying to figure out with AI. I read and reply to every intro 💜 Comment below with: Who you are: your name, what you do, and where you’re based What you’re working on: one thing you’d love to automate, speed up, or figure out with AI Your favorite tool right now (bonus points if it’s one we haven’t heard of) Your LinkedIn, if you’d like to connect. Totally optional
Brooke Benson Question
10

Build a Multi-Channel Load Blast Platform for Freight Brokerage

I work in the freight brokerage industry. When speaking with trucking companies, we usually want to send offers to multiple contacts at once. This is called a load blast. Clients prefer different communication channels, mostly email and Telegram, so freight brokers often have multiple screens open to manage all of those conversations. Using Claude Code, I built a platform where I can save each client’s preferred communication method—email or Telegram—once. The platform then blasts the load information to the appropriate contacts through their chosen channels. I also built a tooltip guide to help non-technical salespeople set up the system. It guides them through adding contacts, connecting Telegram, and sending load information to multiple contacts at once. This lets them manage the process from one screen instead of switching between multiple screens. This process happens hundreds of times per day. Based on the demo, I convinced my company to start building the same platform internally. Step-by-step: 1. I identified that freight brokers needed to send load offers to multiple trucking-company contacts at once, or create a load blast. 2. I built a platform with Claude Code that lets me save each client’s preferred communication method, such as email or Telegram. 3. I configured the platform to send load information to contacts through their selected communication channels. 4. I added a tooltip guide explaining how non-technical salespeople can add contacts, connect Telegram, and send a load blast. 5. I designed the process so salespeople could manage these communications from one screen instead of using multiple screens. 6. I demonstrated the platform to my company and convinced them to start building it internally.
Thomas (Josh) Thephasdin
  • Claude Code
2

Build and publish an Android Automotive music player with Claude Code

I created a media player for Android Automotive OS—not to be confused with Android Auto. I had been using an old, unmaintained app that lacked several features I wanted in a music player. I used Claude Code to build a new app from scratch, test it in an emulator, and eventually publish it for internal testing through the Google Play Store. After working through several bugs, I now have version 3 running reliably enough for day-to-day use in my car. I plan to add a few more features before ultimately releasing it publicly for free on the Play Store. Step-by-step: 1. I pointed Claude Code to the unmaintained package and gave it the option of using that as a starting point or starting from scratch. Claude chose to start from scratch. 2. I described the additional features I wanted. Claude suggested using Kotlin and Gradle, which I endorsed. 3. Claude created an initial build and installed an emulator to run alongside it. I did all of this on an Omarchy installation. 4. The initial build was buggy, so Claude and I worked together to identify and fix the problems. Claude often used the emulator autonomously to investigate what was going wrong. 5. Once I had a functional prototype, I needed to install it in my car. Claude guided me through creating a Google developer account and handling the administrative requirements beyond the app itself, including a privacy policy. 6. After the developer account was set up, Claude packaged the app for upload. I uploaded it and marked it for internal testing, which allowed me to access the app through the Play Store in my car. 7. Claude and I worked through a few more bugs. We are now on version 3, and the app is functional for day-to-day use. We plan to add more features, with the ultimate goal of releasing it publicly for free on the Play Store.
Ben Blay
  • Claude Code
4

Use AI to Triage Commercial Vehicle Maintenance Reports

Commercial vehicle maintenance information is often fragmented across driver reports, warning lights, fault codes, inspections, repair records, and vehicle history. This makes it difficult for smaller fleets to decide whether a vehicle can continue operating, requires scheduled repair, or should be stopped immediately. We built TruckFixr Fleet AI to turn an unstructured driver report into a clear, reviewable maintenance action. The workflow begins when a driver submits symptoms, photos, fault codes, and vehicle information through a mobile-friendly form. AI and optical character recognition extract the relevant details and organize them into a structured maintenance case. The report is then evaluated alongside available vehicle history and previous repairs. The workflow provides decision support through three practical actions: continue operating while monitoring, schedule an inspection or repair, or stop and escalate for immediate professional assessment. Final safety decisions remain with authorized fleet or maintenance personnel. After an inspection or repair, the confirmed cause, work performed, and outcome are recorded, creating a more complete vehicle history for future cases. The general workflow can be recreated using a mobile form, OCR, a vehicle-history database, an AI model, automation software, and a human-review dashboard. Step-by-step: 1. A driver submits symptoms, photos, fault codes, and vehicle information through a mobile-friendly form. 2. AI and optical character recognition extract the relevant details and organize them into a structured maintenance case. 3. The workflow compares the report with available vehicle history and previous repairs. 4. The system provides one of three decision-support actions: continue operating while monitoring, schedule an inspection or repair, or stop and escalate for immediate professional assessment. 5. Authorized fleet or maintenance personnel make the final safety decision. 6. After inspection or repair, the confirmed cause, work performed, and outcome are recorded in the vehicle history. TruckFixr has used this approach to support more than 100 vehicle-issue resolutions in early fleet pilots, helping fleets identify problems earlier, prevent avoidable breakdowns, and keep vehicles moving safely.
Rundown Member
  • ChatGPT
  • Claude Code
  • Codex
  • Gemini
2

Build a Driver Management System with AI and One-Click Booking

I built a Driver Management System with ChatGPT and Google. It stores client and driver information, including links, and lets me schedule jobs through a one-click booking wizard. The system also provides reports, helps me search for available drivers by licence type and other criteria, tracks available jobs, and includes a dashboard showing unassigned drivers. This is my first project with AI, and I love what I’ve been able to build. Step-by-step: 1. I used ChatGPT and Google to build a Driver Management System. 2. I added client and driver information, including links. 3. I created a one-click booking wizard for scheduling jobs. 4. I added reports and search tools for finding available drivers by licence type and other criteria. 5. I set up job tracking and a dashboard showing unassigned drivers.
Liane
  • ChatGPT
1