Ogment AI

How does Ogment decide when an AI agent should act autonomously versus asking for human approval?

whats the core differentiator between this and openclaw ?

This is sick. What are your top 3 use cases? Just tried the sales use case and it is amazing. Great job.

The shares-memory-and-skills-across-your-whole-team part plus running automations while you sleep is the combination I would want to pin down before rolling it out. When @O touches one of those 1,000+ tools, is the connection scoped per-user so it acts with my permissions, or is it one workspace-level token everyone shares? And the shared team memory: does that live in your infra, or can I point it at our own store or model like the including-your-own line suggests?

congrats on the launch! looking forward to checking this out

Does it use a specific model, or do we get configure it?

Love the breezy integration, making me to automate time-wasting workflows without me having to think twice about it (for me it's scheduling + note aggregation / tracking)!

Tool-calling is the sneaky failure with any bring-your-own-model setup. Providers each format function calls differently, so a harness tuned on one model's schema quietly drops args or mis-picks tools when you point it at a cheaper endpoint, and it still reads as working. That's the bug that ate the most of our debugging time building agent infra. How much of the agent quality actually holds when someone swaps their own model in versus your default?

Hey Product Hunt 👋 I'm Amaury, cofounder of Ogment, and I'm super proud to share what we've been building.We kept seeing the same pattern: people are excited about the AI revolution, they want that full "agentic" experience, but then reality hits. The friction to install and maintain agents a la OpenClaw or Hermes is actually pretty high, esp. for less technical people. Not even mentioning the security or the team collaboration aspect...So we built O from the ground up for Slack-native teams, where a ton of context already lives. Your conversations, your decisions, your files, your workflows: it's all right there. And the best part? There's zero friction to onboard, just tag @O in Slack.Here's the thing that surprises people most: we don't really have a dashboard. You can do it all from Slack. Connecting your systems (Gmail, Linear, Stripe), creating a custom skill or sharing it with your team, setting up a recurring job... just ask your agent, like you would a colleague.And it's proactive. Ogment doesn't just wait for instructions. It constantly spots automation opportunities and surfaces them to you, without you even having to ask.My personal favorite skill with O? It handles my post-product meetings end to end. It pulls the Granola transcript, reads my backlog in Linear, checks strategy docs in Notion, grabs context from emails, and outputs a clear list of feature requests, bugs, market insights, and a backlog update proposal. What used to take me 45 minutes to do properly is now done in 1 minute.We're incredibly excited to get this into your hands. Can't wait to see what you build with it!

Hey Teo, tagging it like another person on the team is what makes this click for me. Most tools ask everyone to change their habits, and this one meets people where they already are.

how does the memory and skills sharing actually work across team members, like does everyone see the same context or can you scope it per project?

tagged @O to summarize a long thread and it actually pulled the key decisions plus action items in seconds, way cleaner than the bots we tried before.

How does O manage shared team memory and permissions in Slack so it can collaborate effectively without exposing sensitive information across users or channels?

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?

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.