Loom Record for agent review: show the agent what you mean, then read what it heard

The verdict

If your team already uses Loom to explain work to each other, and you're starting to hand some of that work to AI agents, Loom's new Record for agent mode is worth a try. It turns a short screen recording into a written prompt that an agent can follow, so you don't have to type out instructions, take screenshots by hand and paste links one by one.

It's in open beta, announced October 22, 2026, and available on Loom's Business + AI and Enterprise plans. It works in the Loom Chrome extension and the Loom desktop app, version 2.0 or later.

The recording is the easy part. The prompt is what the agent actually reads, so that's what someone has to check. Loom seems to agree: its support page describes generating a prompt "for you to review and share." Below are three jobs where it fits well, and one where we'd keep it out.

What it captures and what it produces

You start a recording in Record for agent mode and talk through what you want while clicking around the screens involved. Loom's support page says it captures:

• a full transcript of what you said
• keyframes, which are snapshots of the screens you showed
• interaction events, meaning where you clicked
• visited links, a log of URLs you opened while recording
• in the Chrome extension, console and network logs, including errors and network request and response metadata

Recordings are capped at five minutes, and the camera turns off automatically so the focus stays on the screen. In the new Loom for Mac, a Selection tool lets you pin a specific element on screen, and a Magic pen lets you draw temporary annotations around an area.

When you stop, Loom generates what it calls an agent prompt, or Action Plan: a list of tasks, each with a title, bullet-point instructions, a quote from your transcript, keyframes and timestamps. From there you can send it to an agent, which opens the tool with the prompt filled in. You can open it as a Jira work item if you have an Atlassian-managed account with Jira. Or you can copy the raw prompt to use anywhere.

Separately, Loom tools are now part of Atlassian's MCP server. Agents including Claude, Cursor, VS Code, Codex and Rovo can pull a video's transcript and action items, comment and organize recordings, all within your existing Loom permissions.

Three jobs it fits

Small interface changes and bug reports. This is the example Loom leads with, and it makes sense. "This button should sit here, this label is wrong, and when I click this it errors" is slow to type and quick to show. The click positions, screenshots and, in Chrome, console errors are exactly what a coding agent or developer needs. A ten-second follow-up recording saying "not that button, this one" is easier than rewriting a ticket.

Reports pulled from several screens. Loom suggests walking through open tabs, dashboards or project boards and asking for a structured summary. If your weekly update means opening five tools and narrating what changed, a recording that captures each screen and link gives an agent far more to work from than a typed request.

Process walkthroughs you want written down. Loom lists feature specs and user flows as uses. A related one for operations teams: record yourself doing a routine task across a few systems, explaining each step, and let the agent draft the written procedure or an automation plan. The person who knows the process talks; the agent writes it up. Someone still has to read it carefully, but starting from a draft beats starting from a blank page.

The one it doesn't fit

Anything showing customer or private data you wouldn't paste into a prompt. That's a lot of screens in a real business: an order list with names and addresses, a support thread, a payroll screen, an admin panel.

Record for agent captures more than a regular Loom. It saves snapshots of every screen, logs every link you visit, and in Chrome records console and network metadata. All of that feeds a prompt that may go to a third-party agent. If the screens include customer details, they're now in the recording, in the prompt and possibly in another company's system.

There are ways around this. Loom has a separate feature for blurring sensitive information, and you can record on a test account with fake data. But if a task can only be shown with real customer records on screen, write the instructions instead, or have the agent work inside a tool where the data is already governed.

Alternatives and what to watch

The obvious alternative is what most teams do now: write the prompt, attach screenshots and paste the links. It's slower, but you see exactly what you're sending. Another is a ticket in your usual tracker with a regular Loom attached, which leaves the interpreting to a person.

Loom's advantage is capturing context you'd forget to include. Its risk is the same thing. A few things worth watching during the beta:

• whether the generated tasks match what you meant, especially when you changed your mind mid-recording
• how often the five-minute limit forces you to split a walkthrough
• what your admins can control around which agents prompts can be sent to

Loom hasn't published separate pricing for Record for agent; it comes with the plans named above. Check Loom's pricing page for what those plans cost your team.

How we'd start

Pick one kind of handoff your team already does often, like small UI fixes. Use Record for agent for those only, for a couple of weeks. Have the person who recorded each one read the generated prompt before it goes anywhere, and note what they had to correct. That tells you quickly whether the prompts can be trusted for that kind of work.

Write a one-line rule about screens: no real customer data in agent recordings. Tell people about the blur feature and the test account.

If you're working out where agents fit in your team's routine work, and how to hand them tasks without handing them everything, that's what our business automation team helps with. Talk to us.

Related work: Sutton Place.