StreamAgent vs. Loom: recording a video is the easy part

Loom made recording a video as easy as sending an email, and since joining Atlassian it has kept growing: it captures your Zoom and Meet calls now, its AI writes the summary and files the Jira ticket, and yes, it can even ask viewers for an email. Millions of teams love it for good reasons. The honest comparison is not about whether Loom is good. It is about what kind of object a Loom is: a message. And messages and pitches want different machines.

The short answer

Loom is built for communication. Record your screen and face in seconds, share the link, replace the meeting. Its AI now titles, summarizes, chapters, and turns the video into docs and tickets. The viewer watches, reacts, comments, and maybe clicks one button.

StreamAgent is built for conversion. Recording is just the first layer, screen and camera, teleprompter included. The video then asks questions, branches to the path that fits, gates at peak interest, scores intent natively, and streams what it learned to your ad platforms and your AI assistant.

Loom asks did they watch it? StreamAgent asks what did they do about it?

Credit where due: the fastest recorder keeps getting faster

Loom’s post-acquisition run is real: meeting capture with auto-notes, edit by transcript, filler-word removal, AI workflows that turn a video into a Confluence doc or a Jira ticket, even personalization variables. If your videos are internal, onboarding, reviews, documentation, standup replacements, Loom is the best version of that tool, and nothing below argues otherwise.

A gate at the door versus a gate in the story

Loom’s email capture is a door policy: the share page can require an address before anything plays. On cold traffic that is a wall in front of an unearned ask, the placement every gating study scores worst. StreamAgent gates inside the story, at the moment each path’s viewer most wants what comes next, after the video has earned it. Same field, opposite psychology, and the capture rates follow the psychology.

Watched is not the same as ready

Loom’s analytics are better than people remember: per-viewer completion rates, CTA clicks, exports, and on Enterprise the watch data lands in Salesforce. But completion is not intent. A curious competitor finishes your video too. StreamAgent’s lead intelligence reads behavior and answers together, scores every viewer, and ranks the call sheet, and Smart Rotations use those same scores to promote whichever version of your pitch produces better buyers, not just longer watches. When you want the summary, ask the workspace’s AI assistant instead of a dashboard.

Ads: the empty column

Loom integrates with Slack, Jira, Confluence, Gmail, Notion, Calendly, and on Enterprise, Salesforce. What it does not integrate with is a single ad platform: no pixels, no conversion events, no retargeting, nothing. If you buy traffic, your campaigns learn nothing from a Loom. StreamAgent streams intent-graded conversion events to Meta, Google, TikTok, and LinkedIn through each platform’s Conversions API, browser and server, so the ad engine learns from every viewer who acts like a buyer.

Choose Loom if

• Your videos are internal: updates, reviews, documentation, onboarding.
• You want meetings captured and AI turning videos into docs and tickets.
• The goal is replacing meetings, not generating pipeline.

Choose StreamAgent if

• Your videos face prospects and should produce scored leads, not just views.
• You want gates with timing and logic, not a wall at the door.
• You want versions tested by Smart Rotations and ranked by lead intelligence.
• You buy traffic and want intent-graded CAPI signals training your campaigns.

Keep Loom for the standup recap; it has earned that seat. When the video is supposed to sell something, record it where recording is the beginning, not the end.

Loom perfected saying it once. We built what happens next.