How do you know an AI project is real? You know it’s real when you watch it run.
That’s the idea behind ShipAI, which is live on TDS today. It’s a video showcase for AI work: practitioners record a screen-share walkthrough of something they’ve built (an app, an agent, a pipeline, an experiment), and we review and publish it.
What’s on a project page
Every entry is a video walkthrough (4-15 minutes long) in which the creator explains what inspired their project, how they built it, how it works, and what they’ve learned along the way. Around the video you’ll find:
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AI-generated key takeaways, so you can decide in ten seconds whether to press play.
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A searchable transcript, lightly cleaned, so you can jump straight to the part you need.
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Stack notes, including the models, infrastructure, and tools in the build, linked out.
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Links to where the project lives, whether on GitHub, Hugging Face, or a live demo. We showcase the work; we don’t host it.
Every builder also gets a profile page collecting everything they’ve shipped.
What you’ll find on day one
ShipAI opens with more than 30 published walkthroughs recorded over the summer by our founding builders, most of them TDS authors whose work you may already know. We already published a retrieval experiment on RAG chunk sizes, an AI damage-report generator for warehouse operations, and a CV turned into a playable video game.
Some are weekend experiments, while others are already running in production: we showcase projects across a wide range of development stages.
An editor reviews every submission
The same editorial team that reviews TDS articles also runs ShipAI. We don’t prioritize production value and flashy visuals. Instead, we choose videos that help other builders understand what you made, how, and why.
Show us what you built
Have you shipped something real recently? We want to see it! Record a screen walkthrough (using Loom, OBS, QuickTime, or any other tool that captures your screen and your voice) and send us the link through the submission form.
ShipAI is now live at towardsdatascience.com/shipai. Go watch what people are building. And if one of the walkthroughs leaves you thinking “I should share my project, too,” that’s just what we’re after.
Questions about a submission, or anything else? Email us at shipai@towardsdatascience.com.