Ogment AI - Your AI coworker, in Slack. Just tag @O.
by•
@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.
Replies
the zero-friction adoption point is the real insight here. most AI tools fail not because the AI is bad but because nobody on the team actually uses them. meeting people where they already work instead of asking them to learn a new app is why this has a shot at real adoption beyond just the power users\
@tina_chhabra thanks Tina, that's exactly it, and you put it better than our landing page does ;) The graveyard is full of genuinely good AI tools that lost to "yet another app to open, yet another behavior to change." We bet the whole product on adoption being a distribution problem, not a capability one. Tag it like a colleague, no new surface, no new habit, and suddenly it's the non-power-users driving it.
Tagged @O in a channel and it pulled the right data from Notion without me explaining anything. The shared memory across teammates is the real standout, no one has to repeat context.
@tayfunabik5641 - love this, that "without explaining anything" moment is exactly what we were chasing 🙂 The context living where the work happens means nobody's re-briefing the bot every time. Thanks for giving it a real spin on launch day, means a lot
How does the shared memory actually work between teammates, like can I keep certain context private to just me or does @O sync everything across the whole workspace?
@alisennecl99142 You can absolutely keep context private to just you, that's the default. @O doesn't sync everything across the workspace. Two layers: personal memory that's yours alone (learned from your own tasks) and an org-level layer an admin shares team-wide on purpose. So your stuff stays yours, shared context is deliberate.
Meeting people where they already work instead of adding another tab — smart. Slack-native is underrated as a distribution strategy. What's the most unexpected task users have thrown at @O so far?
tagging @o in slack feels weirdly natural, like adding a teammate who never sleeps. loved that it actually pulled data from our google sheets without me configuring anything first.
@helin786446 - love it. Thanks for trying it out, means a lot to us!
How does the shared memory actually work across teammates — does my data stay private to my own prompts or does it get pooled into a team-wide knowledge base?
@yldzzk2x your data stays private to you by default, it doesn't get pooled. Two layers: personal memory that's yours alone (learned from your own prompts) and an org-level layer an admin deliberately shares team-wide. So nothing you ask gets swept into a shared knowledge base automatically, the team-wide stuff is curated on purpose.
how does pricing work as the team grows, is it per user or per active usage?
@bernahru8 Good q! It's usage-based, not per-seat, so you're not paying for people who barely touch it. You can add your whole team without seat math, and cost tracks actual work done. And since @O is model-agnostic, you've got a real lever there, point it at a cheaper or local model to tune cost per use case. Happy to ballpark real numbers if you tell me rough team size and how heavily you'd use it
Tagged @O in a test channel and it pulled a report from our CRM in seconds, no setup headache. The shared memory across teammates is a nice touch too.
@huriyedarka awesome to hear! Next step might be to ask O to create a skill so it processes the data exactly like you want every time? :)
Tagged @O to pull a quick sales report from our CRM and it actually nailed the formatting without me babysitting it. The fact that it shares context with my whole team in Slack is a real time saver.
@sedefm1cb really cool! And the more you connect O to your tools, the better your day becomes!
how does the shared memory actually work between teammates? like if i teach it a workflow once, does my coworker need to retrain it or does it pick up automatically?
@cemelagno7bj Good q! Your coworker doesn't have to retrain it. Shared memory is admin-managed, so every agent starts with the base context the company wants everyone to have. And when you teach @O a specific workflow, that becomes a skill you can share through an internal skills marketplace, build it once, the whole team picks it up. No retraining from scratch