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Stacksona
The approval layer between AI agents and real actions.
Most AI governance tools monitor what agents did after the fact. Stacksona governs actions before they happen. It can pause sensitive agent workflows, apply organization rules, route decisions to a human, and return an approve, modify, or reject response. Every policy check, review, and action is stored in a durable audit trail. It works with any agent that can call an API.
I started building Stacksona after spending a bunch of time on AI agents and hitting the same wall every time: the agent could actually do the work, but there was no good way to pause it before a risky action, pull a human in, and then let it keep going.
Originally I was just trying to solve that one approval step. But once I got into it, I realized approvals were just the tip of it. You also need rules for what triggers a review, notifications, requests that don't just disappear if nobody responds right away, and a real record of what the agent tried, what the reviewer decided, and what happened after.
That's basically what Stacksona turned into: infrastructure for human review and runtime governance on top of any agent workflow, so you're not rebuilding all of this yourself every time.
I think agents actually get more useful, not less, when there's a human in the loop. This is my attempt to make that easy to bolt on.
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About Stacksona on Product Hunt
“The approval layer between AI agents and real actions.”
Stacksona was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #115 on the daily leaderboard. Most AI governance tools monitor what agents did after the fact. Stacksona governs actions before they happen. It can pause sensitive agent workflows, apply organization rules, route decisions to a human, and return an approve, modify, or reject response. Every policy check, review, and action is stored in a durable audit trail. It works with any agent that can call an API.
Stacksona was featured in Developer Tools (517.5k followers), Artificial Intelligence (475.9k followers) and Security (2.8k followers) on Product Hunt. Together, these topics include over 198.2k products, making this a competitive space to launch in.
Who hunted Stacksona?
Stacksona was hunted by Stacksona. 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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Stacksona