@O is the ultimate AI coworker that lives natively in Slack. Tag @O like a colleague, to ask anything or delegate daily tasks in plain English. It connects to 1,000+ tools your business runs on, does work while you sleep, and shares memory and skills across your whole team right in Slack, on any model you choose, including your own. One-click install, and everyone is AI-enabled in under 5min, not just your power users. Zero friction, maximum adoption.
Hey Product Hunt 👋 I'm Teo, CEO and co-founder of Ogment.
Most companies are told to "adopt AI", but in practice that means asking non-technical people to learn new apps, prompt engineering, and workflow builders. There's one thing we've learned over the past two years offering AI to companies: any bit of friction kills adoption. A few power users push through, true, but everyone else gets left behind.
You've probably seen the wave of Slack-native agents shipping lately, Claude Tag included. They're strong for technical teams who want to own the setup. We went the other way: every employee gets their own AI coworker, on any model you choose (including your own local LLM), with zero setup.
We built @O to attack that friction head-on. The bar we set ourselves: using an AI agent should be as easy as tagging a colleague. So that's exactly how it works, you tag @O in Slack, in plain English, and it gets the work done. No new app, no prompt craft, no workflow builder. When the friction drops to zero, adoption is maximized, the whole team starts using AI super naturally, from day one.
About Ogment AI on Product Hunt
“Your AI coworker, in Slack. Just tag @O.”
Ogment AI launched on Product Hunt on July 7th, 2026 and earned 147 upvotes and 124 comments, placing #9 on the daily leaderboard. @O is the ultimate AI coworker that lives natively in Slack. Tag @O like a colleague, to ask anything or delegate daily tasks in plain English. It connects to 1,000+ tools your business runs on, does work while you sleep, and shares memory and skills across your whole team right in Slack, on any model you choose, including your own. One-click install, and everyone is AI-enabled in under 5min, not just your power users. Zero friction, maximum adoption.
On the analytics side, Ogment AI competes within Slack, Productivity and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Ogment AI performed against the three products that launched closest to it on the same day.
Who hunted Ogment AI?
Ogment AI was hunted by KP. 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.
For a complete overview of Ogment AI including community comment highlights and product details, visit the product overview.
KP
Hey Product Hunt 👋 I'm Teo, CEO and co-founder of Ogment.
Most companies are told to "adopt AI", but in practice that means asking non-technical people to learn new apps, prompt engineering, and workflow builders. There's one thing we've learned over the past two years offering AI to companies: any bit of friction kills adoption. A few power users push through, true, but everyone else gets left behind.
You've probably seen the wave of Slack-native agents shipping lately, Claude Tag included. They're strong for technical teams who want to own the setup. We went the other way: every employee gets their own AI coworker, on any model you choose (including your own local LLM), with zero setup.
We built @O to attack that friction head-on. The bar we set ourselves: using an AI agent should be as easy as tagging a colleague. So that's exactly how it works, you tag @O in Slack, in plain English, and it gets the work done. No new app, no prompt craft, no workflow builder. When the friction drops to zero, adoption is maximized, the whole team starts using AI super naturally, from day one.