ClawTeams

"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?

Promising! Gonna try this out @s_cen

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?

the approval-boundary answers in this thread are solid, but they're all about controls you set. the risk I don't see addressed is the platform side - Amazon/Shopify etc flag bulk automated listing or pricing changes as suspicious and can suspend a seller account over it, independent of whether the change itself was a good idea. does ClawTeams rate-limit or pace its actions to stay under those platform-level detection thresholds, or is that entirely the seller's problem to monitor?

Congrats on the launch, the goal decomposition flow is clean.The question I keep coming back to with agent teams is what the team lead remembers between runs. Planning is the easy half. The expensive half is not re-litigating a decision a specialist already made last week, and not acting on stock numbers that went stale two runs ago.Does the team carry state forward across goals, or does each new goal start from a clean context?

Congrats on the launch Steven!

The per-action approval controls look well thought through. The harder problem with goal-driven agents is the goal itself: "increase Q4 revenue 20%" can be hit in ways you'd hate — deep discounts that gut margin, or heavier email that lifts this month's revenue and burns the list next quarter. Each step can look low-risk and pass its guardrail while the sum quietly optimizes the wrong thing.Curious whether the Team Lead is measured only against the stated goal, or against guardrail metrics too — a margin floor, a send-frequency cap, brand constraints — so it's steered away from technically-correct-but-bad paths, not just blocked on individual high-stakes actions. That constraint layer feels like where the trust actually lives. Congrats on shipping, Steven.

Looks great

Does the platform support shared team memory without exposing sensitive context across unrelated projects?

The approval boundary is the product here. For e-commerce operators, the useful version is not “agents do everything”; it is clear ownership, budget/risk limits, and a decision log in Slack when a step touches inventory, pricing, customer comms, or ad spend.

@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?

Parallel work is presented clearly without overwhelming the user with technical agent details. Nice product thinking.

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.

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?

Congrats on shipping. Bringing an AI team directly into existing chat channels could remove a lot of workflow friction.