CONTENT CREATION
Length-gated Loom to illustrated blog draft in Dropbox
On a new Loom recording, checks the video length; only walkthroughs over a threshold are converted into an illustrated long-form how-to blog draft and saved as a Markdown bundle…
How it runs
The automated pipeline, trigger to output.
- TriggerNew Loom recording finishedLoom
- LogicSkip if video shorter than threshold
- ActionFetch transcript from LoomLoom
- ActionDraft long-form how-to articleOpenAI
- ActionGenerate section illustrationsImage generation
- OutputSave Markdown + images bundle to DropboxDropbox
What it does
Filters incoming Loom recordings by duration, then turns the substantial ones into an illustrated long-form blog draft. The draft and its generated images are bundled and saved to Dropbox so your editorial team can review before it goes public.
When to use it
Use it when only your meatier walkthroughs deserve to become public-facing how-to content. Short clips get skipped automatically; longer tutorials become ready-to-edit drafts in a shared Dropbox folder — no junk articles, no manual triage.
How it works
- 1A Loom webhook fires when a recording finishes.
- 2A logic step checks the video duration against your minimum threshold; short videos exit early.
- 3The transcript is fetched from Loom for videos that pass.
- 4An LLM drafts a long-form how-to article with a hook, sectioned steps, and a conclusion.
- 5Supporting illustrations are generated for the key sections.
- 6The Markdown article plus images are written as a bundle to a Dropbox review folder.
Set it up
What you configure once, before turning it on.
- 1Connect LoomVideo transcripts, libraries.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect Image generationManaged Nano Banana image renders, metered per image.
- 4Connect DropboxFiles and folders.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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