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6 dimensions

GigAI Video → Work vs Loom AI: Client Feedback Into Tasks

Loom AI summarises recordings hosted on Loom; GigAI Video → Work turns a recording into developer tasks while the video never leaves your machine. Different architectures for the same job.

Loom made async video normal, and Loom AI adds titles, summaries, chapters and follow-up tasks to recordings in your Loom workspace. It's a genuinely good product - and it is also, by design, a hosting service: recordings live on Loom's servers, which is what makes sharing links and workspace AI possible.

GigAI Video → Work starts from the opposite constraint. The recording - often a client's, often under NDA - is processed on your device: transcription and frame selection are local, and only the transcript text goes to the analysis step, with that trade stated on the page before you start. Run it against local Ollama and nothing leaves at all.

Which is right depends on whose video it is. Your own walkthroughs, recorded in Loom for a team that lives there? Loom AI. A client's confidential recording that you need turned into a ticket list you can defend? That's the job Video → Work was built for.

GigAI Video → Work vs Loom AI, compared

Every dimension that actually affects the decision, at a glance.

GigAI Video → Work versus Loom AI compared across 6 dimensions
DimensionGigAI Video → WorkLoom AI
Where the video livesOn your device. It is never uploaded - the tool analyses a file or a link you provide.On Loom's servers - it's a recording and hosting platform; that's the product.
What the AI step seesTranscript text and selected frames only, disclosed up front; with local Ollama, nothing leaves the machine.The recording in your workspace - Loom AI features run on Loom's infrastructure.
OutputDeveloper findings with the client's words, timestamps and screenshots; exports to Markdown, Jira-compatible CSV and JSON.Titles, summaries, chapters and tasks attached to the recording in Loom.
Recording and sharingNeither - it analyses recordings; it doesn't make or host them.Loom's core strength: record, share a link, comments, viewer insights.
Evidence trailEvery finding carries a timestamp that seeks the local video - a dev can hear the client say it in one click.AI summaries reference the recording; chapters jump within Loom's player.
AccountNone.Loom account; AI features sit in paid tiers.

Which one is right for you?

Choose GigAI Video → Work when

  • The recording is a client's and is confidential - NDA work where 'we uploaded it to our video vendor' is a conversation you'd rather not have.
  • You need tickets a developer can act on without rewatching: verbatim quotes, timestamps, screenshots, exported to Markdown, CSV or JSON.
  • You want the analysis fully local - point it at Ollama and no text leaves the machine either.
  • The video came from anywhere - a phone recording, a Meet download, a WeTransfer - not just Loom.

Choose Loom AI when

  • You're recording the videos yourself and your team already lives in Loom - the record-share-comment loop is unmatched.
  • You want summaries and chapters attached to a hosted video people can watch at a link.
  • Viewer analytics matter - who watched, how far, what they skipped.
  • You want one tool for making AND understanding the recording, and the content isn't sensitive.

The verdict

They overlap on one sentence - 'turn this recording into tasks' - and differ on everything structural. If the recording is yours and lives in Loom, use Loom AI. If it's a client's and shouldn't live anywhere, Video → Work does the analysis while the video stays on your machine - that's the entire point of it.

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