Launched this week
ClawTeams
The first goal-driven, proactive AI team for e-commerce
1.1K followers
The first goal-driven, proactive AI team for e-commerce
1.1K followers
ClawTeams is an AI employee platform for e-commerce sellers. Instead of hiring specialists—or doing everything yourself—you get a coordinated AI team that thinks, plans, and executes like real employees. One goal. One team. Zero micromanagement. Tell your team lead what you want—"Increase Q4 revenue by 20%"—and they break it down, assign specialists, and run the plan. You get updates in Slack or Discord. High-stakes decisions wait for your approval. Everything else just happens.
Which integrations are available today beyond Slack, and is Microsoft Teams support already production-ready?
ClawTeams
@ea_z slack/Telegram/Lark/Wecom/Dingtalk ready
Teams/discord coming soon, hopefully ready by next week
Love the concept of treating AI agents like actual team members. One thing I'd find super useful is a simple performance dashboard per specialist showing what they shipped, time saved, and cost vs hiring a human for the same task, so I can actually measure ROI over time.
ClawTeams
@tahazgnkdof Thanks so much, Taha — really glad the "AI agents as teammates" framing resonates! Good news on the ROI front: we already have a budget management function that lets you track and manage your agent team's spend, so you can keep an eye on cost as you go. A fuller per-specialist view (what each agent shipped + time saved side by side) is exactly the direction we want to take it further. Would love to hear which metrics matter most to you!
Would love to see a quick weekly recap card in Slack showing what the team actually did and what it cost in API credits, so I can tell at a glance whether I'm getting real value or just noise.
Ada.im
Are users able to bring their own models or choose different models for different AI roles?
Ada.im
Agnes AI
I appreciate that ClawTeams separates execution from approval. That balance could make agentic work much easier to trust.
Ada.im
@cruise_chen That balance is central to the product: let the team execute, but keep approvals clear and deliberate.
The "self-heal first, then flag a human for hard blockers" split you described to Priya is a good pattern, I ended up at a similar split building an AI Chief of Staff for founders running more than one business, except mine is read/advise-only rather than action-taking. The rule-drift question from Olga is the one I'd push on further though: even with conflict-flagging at add time, over-constrained-but-individually-fine rules are the harder failure mode, and they don't show up until something downstream breaks. Do you do any periodic whole-rulebook health check, or is it purely reactive to the next conflicting rule someone adds?
This is the first AI tool that actually feels like hiring a team, not just another assistant. Told it "optimize our Amazon listings" and the AI lead broke it down, assigned specialists for copy, keywords, and images, and they all worked in parallel. No more me playing project manager for 5 different AI tools. The Slack-native workflow means I don't have to learn another dashboard. Some tasks still need human eyes, but for the grunt work, it's a massive time saver. Free tier to test it out.