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.
@stevencen Love the "zero micromanagement" vision! 👏
You mentioned that high-stakes decisions wait for human approval in Slack/Discord. How granular are those safety guardrails? For instance, can a seller set custom approval rules—like automatic sign-off for minor ad budget tweaks, but requiring human approval for price changes or launching new campaigns?
ClawTeams
@franz_briones Love that you zeroed in on this! Yes — the guardrails are granular and fully configurable. During setup you define custom approval rules per action type, so you can, for example, auto-approve minor ad budget tweaks under a threshold you set, while requiring human sign-off for price changes or launching new campaigns. These are 'once-for-all' controls — you configure them once when assembling your AI team, and the Team Lead respects them from then on. Defaults lean conservative (anything touching credentials, irreversible actions, or spend above your limits always surfaces to you in Slack/Discord), and you can loosen or tighten from there.
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.
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
@medal411 Great question, thanks! Quick clarification on 'zero micromanagement': it doesn't mean no oversight — it means you don't have to assign tasks to each agent or check their quality one by one. The Team Lead agent drives toward the goal and coordinates the specialists for you. If a specialist goes off track, the Team Lead monitors output against the goal and catches drift before it reaches a customer.
The key controls happen up front: during setup and when you assemble your AI team, we provide easy-to-use dashboard settings. These are 'once-for-all' guardrails — you configure them once, and they ensure the team executes safely and exactly to your requirements. Anything high-stakes or customer-facing still hits a human-in-the-loop checkpoint in Slack/Discord for sign-off, while low-risk, reversible steps run autonomously.
How are budgets set and enforced across a long-running project with multiple agents working in parallel?
Ada.im
Does the platform support shared team memory without exposing sensitive context across unrelated projects?
Ada.im
the drift-catching part makes sense for one agent going sideways, but what about two specialists stepping on each other mid-task - if the pricing agent drops a price right as the ads agent is calculating margin for a new campaign, does the team lead serialize those or do they just race?
Ada.im
"high-stakes decisions wait for your approval" - is that threshold something the team lead learns from your past overrides, or a fixed list of action types you configure upfront?
Ada.im