What happens if your AI agents make a mistake?

1. Most mistakes never go live

Every piece of public-facing output — a post, a page, a reply — passes a quality gate before it ships. The product's own description of this: "Nothing ships unless it's great... Every post, page and reply is scored. Below 8/10, it goes back." A weak draft, an off-brand reply, a sloppy page — these get caught and sent back before a customer ever sees them. This is the first and most frequent line of defense, because most mistakes are quality problems, not judgment problems.

2. Anything consequential waits for your yes

Some actions can't be undone by a quality score — spending money, shipping something irreversible, making an identity or legal call. For those, the product reserves a human-approval step: "You play 30 seconds... A code, a card, a yes or no. Everything else is handled." That step exists precisely because mistakes are possible. It's not decoration — it's the boundary that stops a mistake from spending your money or going out the door without you seeing it first.

3. Technical breaks get fixed, not business decisions

Self-healing covers a specific, narrower case: something technical breaking. "Something breaks at 3 AM? It's fixed before you wake up." That's for bugs, outages, broken integrations — not for a bad business call. If an agent picks the wrong growth tactic or misreads a market, that's not a "break" a self-healing system detects and patches; it's a judgment error, and it gets caught by the quality gate or by you, not by self-healing. Don't conflate the two — they cover different failure modes.

The layer that catches drift before it compounds

Above all three of these sits the Boss, which "owns your goal, sets deadlines in hours and checks every move." The Boss is checking the team's work against your actual goal continuously, which is what catches a mistake that's technically fine quality-wise but drifting from what you actually asked for — before it compounds into a bigger problem down the line.

What this isn't

This is supervised autonomy, not a zero-risk guarantee. The human-approval step exists because the product is built on the assumption that mistakes are possible — if they weren't, there'd be no reason to reserve anything for you to approve. What you're getting isn't "nothing can go wrong"; it's three separate checkpoints that catch different kinds of mistakes before they become expensive ones, plus the final checkpoint that's still you.

For the access-and-permissions side of this question — what the agents can and can't touch in the first place — see Is it safe to give an AI agent access to your business?

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