Trainer lets you train AI agents by simply recording a task once. No prompts, no labeled data. It captures every click, keystroke, and intent as you work, then turns that workflow into a reusable agent that can repeat the process reliably. Built for automating real-world tasks through demonstration instead of manual configuration, making AI agents practical and accessible for everyday work.
Hey Product Hunt 👋
I built Trainer because most AI automation tools assume you already know how to describe a workflow in prompts or code—but in reality, people just do the work
Trainer flips that: instead of writing instructions, you simply perform the task once. We capture every click, input, and decision, and turn it into a reusable AI agent that can repeat the workflow reliably.
No prompt engineering. No labeling datasets. Just demonstrate once → automate forever.
Would love feedback on what workflows you’d want to turn into agents next 🚀
demonstrate once and automate forever sounds great until the app you recorded pushes an update and moves a button 10 pixels to the left. how does it handle that
Congrats on the launch! How does it deal with tasks that may slightly vary based on scenarios? Does it need the user to record each scenario or is it enough to include instructions for different scenarios in the voice recording?
how would it deal with a task that has a different UI and flow depending on if its on my phone or on my laptop?
Really interesting launch — curious how adaptive the trained agents are in practice. If the original workflow changes a bit, like different input data or an extra confirmation step, can the agent reason through it, or does it need to be retrained from a new recording?
Interesting. I do wonder how it handles complex rendering on web apps for example, might give it a try.
Screen recording is definitely the most intuitive way to train an agent on custom workflows. The real challenge is handling dynamic UI changes when a website updates its layout. How robust is the underlying model at generalizing the task when buttons move?
About Trainer on Product Hunt
“Train AI agents by recording your screen”
Trainer launched on Product Hunt on May 19th, 2026 and earned 85 upvotes and 15 comments, placing #22 on the daily leaderboard. Trainer lets you train AI agents by simply recording a task once. No prompts, no labeled data. It captures every click, keystroke, and intent as you work, then turns that workflow into a reusable agent that can repeat the process reliably. Built for automating real-world tasks through demonstration instead of manual configuration, making AI agents practical and accessible for everyday work.
Trainer was featured in Developer Tools (512.6k followers), Artificial Intelligence (468.8k followers) and No-Code (5.7k followers) on Product Hunt. Together, these topics include over 167.3k products, making this a competitive space to launch in.
Who hunted Trainer?
Trainer was hunted by hritvik Gupta. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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hritvik Gupta