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Nom
Give AI agents real UI powers without giving up control.
Nom connects AI tool calls to the React components already in your app. Define what an agent can do with typed, validated tools, map the results into component props, and keep your application in control of data fetching, authorization, and rendering. It’s model-provider neutral, works with AI SDK 6, and supports loading, empty, error, and stale-request states out of the box. Build AI-powered dashboards, product search, and interactive interfaces using the components your users already know.
Hey Product Hunt! 👋
I built nom because AI features often force a choice: let the model generate UI you don’t fully control, or hand-build an integration for every possible action.
Nom takes a different route. Your React components stay yours, along with your data fetching, authorization, and rendering. You simply expose the actions an agent can take as typed, validated tools, then map the results directly into your existing component props.
It’s designed for teams building AI-powered products that still need predictable, app-owned UI.
I’d love to hear what you’re building with AI in React, and where the integration feels most painful today. Happy to answer anything!
Typed tools are a nice touch, but it would be great to see a visual debugging panel that logs each tool call and its mapped props in real time. Right now I imagine figuring out why a component received stale or empty data means digging through logs manually, especially across nested components.
One thing I'd love is a built-in way to test tool definitions with mock responses right in the browser. Something like a playground where you can swap providers, fire a tool call, and see the mapped props update live would save so much back-and-forth during development.
About Nom on Product Hunt
“Give AI agents real UI powers without giving up control.”
Nom was submitted on Product Hunt and earned 5 upvotes and 4 comments, placing #48 on the daily leaderboard. Nom connects AI tool calls to the React components already in your app. Define what an agent can do with typed, validated tools, map the results into component props, and keep your application in control of data fetching, authorization, and rendering. It’s model-provider neutral, works with AI SDK 6, and supports loading, empty, error, and stale-request states out of the box. Build AI-powered dashboards, product search, and interactive interfaces using the components your users already know.
Nom was featured in Design Tools (261.5k followers), Open Source (68.6k followers), Developer Tools (516.4k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 157.6k products, making this a competitive space to launch in.
Who hunted Nom?
Nom was hunted by Jedddy. 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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