How to Stop Babysitting Your AI Assistant
You hired help and got a second inbox.
The assistant works. It drafts the reply, summarizes the thread, suggests the time. Then it waits for you, and the hour it saved turns into an hour of checking its work.
The quick answer: babysitting comes from three design choices, not from a bad model. The assistant drafts and waits on every action, one broad agent does every job, and your rules live in a chat instead of in standing instructions. Fix all three and supervision drops to a five-minute morning check. Carly is built for that: each agent has its own email address and one job, approval is a per-action rule you loosen over time, and the rules-only work runs as plain workflows with no AI in them at all.
Where the hour goes
Track one day of supervision and it usually lands in five buckets.
| Supervision task | Why it happens | What removes it |
|---|---|---|
| Approving routine sends | The assistant is built to draft and wait, so every “Thursday at 2 works” needs your click. | Approval rules per action type, loosened as the agent proves itself. |
| Re-checking summaries | One agent handles everything, so you never know which part of its context it used. | Narrow agents with one job each, so a summary comes from one known source. |
| Re-prompting the same rule | The rule lives in a chat thread that gets forgotten. | Standing instructions the agent reads at the start of every task. |
| Watching for silent failures | Nothing tells you when a step did not run, so you check by hand. | A daily digest that lists what failed, alongside what worked. |
| Doing the last step yourself | The assistant stops at the draft, so you still send, file and log. | An agent that finishes the task: sends, books, updates the CRM. |
If a mistake is behind the babysitting, fix that first with the loop in how to correct an AI assistant that got it wrong. This post is about the supervision that stays even when nothing is going wrong.
Approval is a dial, not a switch
Most people treat approval as on or off. It works better as a dial you turn one action type at a time.
- Weeks one and two: approve everything. You learn how the agent writes and where it guesses.
- Loosen internal email first. A message to a colleague that is slightly off costs nothing.
- Then scheduling. Booking a meeting from your real availability is low risk and high volume.
- Then routine client replies. Confirmations, “got it, will send Friday”, document requests.
- Keep money and contracts gated. Refunds, pricing, invoices and anything signed stay behind your OK permanently.
In Carly this is a “require approval” rule per action type on each agent. Held items land in one queue, and everything else runs. Assistants that only draft keep you at the top of the dial forever, because there is no setting below “approve everything”. That is the hour you are trying to get back. Our Carly vs Orchid and Carly vs Lindy comparisons show how that default plays out in practice.
Give each agent one job
One agent doing scheduling, follow-ups and triage means one mistake makes you distrust all three. You end up re-reading everything it touched.
Split it:
- A scheduling agent with its own address. CC it on a thread and it finds the time, sends the invite and handles the reschedule.
- A follow-up agent that chases proposals and unpaid invoices on a set cadence, reading QuickBooks, Stripe and HubSpot before it writes.
- A triage agent that sorts the inbox, files attachments and flags the three emails you need to see.
Each has short instructions about one thing, so its behavior is easy to predict. If the follow-up agent slips, you tighten the follow-up agent and leave the other two alone. Giving each one a name, an email and a personality also makes it obvious which one to talk to. You can set all three up in minutes on the Carly agents page, and Carly connects to thousands of apps, so each agent reaches the tools its job needs across Gmail, Outlook, Slack and your CRM.
Move rules-only work out of the AI entirely
A lot of what you supervise has no judgment in it. It is a rule, and a rule does not need a model watching it:
- Every Friday at 3pm, remind the team to submit timesheets in Harvest.
- When an email arrives with a PDF invoice, save it to the Finance folder in Google Drive.
- When a Typeform lead comes in, create the contact in HubSpot and post it in the #sales Slack channel.
Describe each one in plain English on the Carly workflows page and it becomes a workflow with no AI step. It runs identically every time, so there is nothing to review. Carly offers free Zapier-style workflows; AI agents from $35/month, so moving the mechanical work out of the agent costs you nothing and leaves the agent’s instructions short.
What a five-minute morning check looks like
Ask each Carly agent to email you a digest every morning at 8am. It should list four things: what it sent, what it booked, what it held for approval, and what failed.
Josh runs client operations at Huge, the digital agency in Brooklyn, and has three Carly agents. His 8am digest from the follow-up agent reads:
- Sent: 6 proposal follow-ups, 2 invoice reminders (both under 30 days).
- Booked: kickoff with Warby Parker, Thursday 10am.
- Held for approval: a refund request from Allbirds for $1,200.
- Failed: could not find a signed contract for Glossier in Google Drive.
Josh approves the refund from the email, tells the agent the Glossier contract is in DocuSign, and closes the tab. Four minutes. His colleague Emily reads the same digest from her triage agent and replies to only one line. When something in the “failed” section repeats two mornings in a row, that is the signal to change the instructions, not to start watching again. The first 30 days with an AI agent guide covers how the digest shrinks as trust builds, and what Carly can do lists the jobs teams usually hand over next.
When you should still watch closely
Hands-off is the goal, not a starting point. Watch every action again when:
- It is the first two weeks with a new agent.
- You connect a new integration, until you have seen it read and write the right records.
- Money or contracts are involved, which should stay gated for good.
- A client has complained, until the agent has handled that client correctly a few times.
For a team rolling agents out across several people, book a call with the Carly team and we will help you decide which actions to gate and which to let run.
Frequently asked questions
Why does my AI assistant need so much supervision?
Usually because it drafts and waits on every action, handles too many jobs in one agent, and keeps its rules in chat. Change those three and most of the checking goes away. Get started with Carly to set up an agent that finishes the task.
How long should I approve every action before loosening?
About two weeks, then loosen one action type at a time, starting with internal email and scheduling. In Carly you remove the “require approval” rule for that action type on the agents page.
Is it safe to let an AI agent send emails without approval?
For routine, low-stakes messages, yes, once it has been right on that type for a couple of weeks. Keep money, pricing and contracts gated permanently. Carly supports both Gmail and Outlook, so the same rules apply on either.
Should I use one AI agent or several?
Several, each with one job. A narrow agent is easier to predict, so you stop re-checking its work. Carly lets you run multiple named agents, each with its own email address, from one account.
What should an AI assistant’s daily digest include?
What it sent, what it booked, what it held for approval, and what failed. If the failed list is empty and the held list is short, the check takes minutes. Anything purely rule-based belongs in a workflow instead of the digest.
Related: How to correct an AI assistant that got it wrong · Share one AI assistant across a team · First 30 days with an AI agent · Carly vs Lindy
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