Launching today
ClawTeams
The first goal-driven, proactive AI team for e-commerce
152 followers
The first goal-driven, proactive AI team for e-commerce
152 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.
Ada.im
Hey Product Hunt! 👋
I'm Steven Cen, and today we're launching ClawTeams — an AI team platform
built specifically for e-commerce operators.
The frustration that led to this: we kept seeing smart sellers use AI tools and still
end up doing all the coordination work themselves. They had AI assistants — but they
still had to be the manager. That's exhausting.
So we built ClawTeams around a different idea:
→ You set the goal. The AI Team Lead manages the rest.
Get 800 bonus credits ($8 value) with your first top-up of any amount. No minimum required.
We'd love your feedback — especially from sellers who've tried other AI tools and hit
walls. What made you give up on them? What would make an AI team actually useful?
Huge congrats👏 to shipping. one que what happens if the team lead agent runs into a direct roadblock like an API returning an expired token error from a connected store? does it flag a human immediately in discord or try to self-heal?
Ada.im
@priya_kushwaha1 Great question, and it's exactly the kind of edge case we designed for early on 🙏
Short answer: it's a two-step process, not either/or.
When the Team Lead agent hits something like an expired token from a connected store, it first tries safe, reversible self-healing steps — retrying the auth flow, refreshing via the stored refresh token if available, or falling back to a cached state so nothing downstream breaks silently. If that resolves it, you just see a quiet log entry, no interruption.
But if it's a hard blocker — like the store literally revoked access or the refresh token itself has expired — it won't keep guessing or "pretend" to make progress. It immediately flags a human in Discord/Slack with the specific context (which store, which action was blocked, what it already tried), because re-authing a store connection is exactly the kind of "high-stakes, needs-a-human" moment we don't want an agent silently working around.
The core design principle is: agents can act autonomously on reversible, low-risk operational stuff, but anything involving credentials/access or irreversible actions always surfaces to you first. We'd rather have a slightly noisier Discord than an agent that "self-heals" its way into doing something you didn't approve.
Happy to go deeper on this if you're curious — this kind of failure-mode design is honestly where most of our engineering time went pre-launch.
The one-sentence setup is especially appealing for ecommerce. Starting with rough product information and asking for a complete listing package feels far more natural than building a workflow first.
Ada.im
@nicole_h94 Exactly—starting with the outcome should feel more natural than designing the workflow first.
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.
Congrats on launching! "Zero micromanagement" is a bold promise for a multi-agent setup - how do you handle the failure case where one specialist agent goes off track? Does the team lead catch it before it reaches the customer, or is there a human-in-the-loop checkpoint?
ClawTeams
Hey everyone! 👋
Most AI tools give you an assistant. ClawTeams gives you a team.
Tell your AI Team Lead what you want to achieve, and it plans the work, delegates to specialists, and executes — coordinating like real employees instead of waiting for you to micromanage every step. High-stakes calls wait for your sign-off; the rest runs on its own, with updates right in Slack or Discord.
If you sell online, I'd love to hear: where does coordination eat the most of your day? That's exactly the pain we're trying to kill.
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.