Agently

Solo founder here, already running most of my ops through AI agents, so this one hits home. The part I'm curious about is trust: when Jarvis links a Stripe event to a Slack thread and acts on its own, what happens when it gets something wrong? Is there a review/undo layer before actions land, or do I find out from the logs? That's what would decide whether I let it anywhere near billing.

Congrats on the launch!

This is clever. What does Jarvis do when it can't confidently route a task to any agent?

@omarships The underrated part here is the compounding. Most AI tools are identical on day 1 and day 100. If the brain genuinely gets sharper the more it ingests and the more you correct it, that's a real moat and a real switching cost, the opposite of a swappable wrapper. Congrats team 🔥 Does the value curve actually bend upward with usage, or plateau once the obvious sources are connected?

How do you handle data consistency across 100+ connectors, especially when dealing with concurrent updates or network failures? Is there a specific data modeling approach or conflict resolution strategy in place?

This hits a real pain point. Most "AI ops" tools still make you babysit the handoffs, Stripe fires an event, you check Slack, you manually open a Linear ticket. If Jarvis actually closes that loop end to end, that's the unlock. Curious how it handles edge cases where the "right" next step isn't obvious. Congrats on the launch, rooting for you.

the policy gate + approval queue answers in this thread are the most thorough I've seen on this, but they're all about what the gate does. what I haven't seen addressed: who can loosen it, and is that change logged the same way an agent action is? "handle refunds under $50 on your own" is a great rule until someone quietly bumps that number on a Friday and nobody notices until the damage is done. is changing the policy itself a consequential action that goes through the same approval/audit trail as everything else, or is it just an admin setting anyone with access can flip

I loved the video, does it work with BYOK or your own models ?

Congrats on the launch! The temporal knowledge graph is really interesting. How does it decide a fact has gone stale, like a customer that churned or a deal that moved vs just keeping the newer fact alongside the old one? Really like that you framed the brain as the moat and the agent as the commodity

Been watching Agently take shape and this is the launch I've been waiting for. The thing that clicks for me: everyone's shipping "agents," but an agent with no memory of your company is just a chatbot with extra steps. Building the brain first is the right bet. Huge congrats to the team 🔥
Curious what the first workflow most teams reach for once it's connected?