From one long video to ten short clips with the AI Content Engine
A webinar, interview or podcast contains ten good moments. The AI Content Engine finds them, cuts them and writes titles and captions for each. Here is how it works.
New to this topic? Start with Content marketing for busy founders: from one video to a week of posts
The short answer
The AI Content Engine in dGENIX takes a long video, such as a webinar, interview or podcast, and turns it into short clips. It first transcribes what is said, rates which moments are strong enough on their own for social media, cuts those out and delivers a content pack with each clip: three titles, a caption and hashtags. You choose which clips to post. The engine is included in the Pro plan and higher.
Why short clips
Hardly anyone rewatches a one-hour webinar. But that hour often contains ten moments that stand on their own: a sharp answer, a real example, a tip you can explain in thirty seconds. On Reels, Shorts and TikTok those moments reach people who would never have seen your webinar.
The problem: finding and cutting those moments takes time. You rewatch the whole hour, note timestamps, cut, add subtitles and come up with a title for each clip. For one video that is an afternoon. So it does not happen.
How the engine works
The engine works in four steps:
- Fetch. You give a link to a video or upload the file.
- Transcribe. The engine creates a transcript of everything that is said, with timestamps.
- Rate. A language model reads the transcript and looks for moments that stand on their own and are likely to catch attention: a clear statement, a story with an ending, a concrete piece of advice. Each moment gets a score.
- Cut and package. The strongest moments are cut, and for each clip the engine writes three titles, a caption and hashtags.
The work runs in the background, you do not need to stay with it.
What you get back
| Per clip | What for |
|---|---|
| The clip itself | Ready to post |
| Three title options | Pick what fits your channel |
| A caption | The text under your post |
| Hashtags | Matching the topic |
| A score | How strong the moment is on its own |
You choose which clips to use. The score helps, but you know your audience.
Good source videos
Not every video gives equally good clips. What works well:
- Videos where one person speaks clearly. Interviews, presentations, explanations.
- Concrete content. Examples, numbers, steps. "What we learned from a hundred quotes" gives more than a general story.
- Good sound. The transcript is the basis. Bad sound means a bad transcript.
What works less well: videos with many people talking over each other, long silences or mostly visuals without speech.
From clip to schedule
Making clips is one step, posting them regularly the next. Have GENI spread the clips over a few weeks in your content plan, with title and caption. How to use one piece of content across channels is covered in AI content repurposing. And how to plan a month of posts ahead is in LinkedIn posts for a month.
Your own voice
Titles and captions fit better when GENI knows your tone. Record in your knowledge document how you write: short or detailed, with or without emoji, formal or casual. Then the captions sound like you. More in your own brand voice in AI content.
What it costs
Processing video is heavy work: transcribing, rating and cutting. That is why the engine is in the Pro plan and higher, and why a video costs more credits than a normal question. How credits work is in credits in dGENIX explained. What the skill does exactly is on the AI Content Engine page.
An example: a webinar about subsidies
An advisory firm gives a fifty-minute webinar about sustainability subsidies. Afterwards the recording goes to the Content Engine. Among other things it finds a forty-second moment where the speaker explains the mistake applicants make most often, a moment with a worked example and an answer to an audience question about deadlines.
The firm picks six clips. GENI spreads them over three weeks, two per week, each with a title and caption in the firm's tone. The clips reach people who never saw the webinar, and some of them end up at the full recording through the link in the caption.
The firm's work: uploading the recording, choosing six clips and approving the schedule.
What to do with the clips
A clip works best when it says one thing and ends with a reason to keep watching. Put in the caption where the full video is, or what the viewer can do to learn more. Do not post all clips on one day: spreading them out gives more reach and weeks of content from a single recording.
How many clips per video?
That depends on the content. An interview with many concrete answers yields more than a presentation with one long storyline. Pick a handful of strong clips rather than everything the engine finds: a weak clip costs your followers' attention.
Clips and the AI Content engine
The Content Engine is part of a broader approach to content. The AI Content engine helps you plan what you make, for which channel and in which tone, so separate clips form a recognisable line together.
Frequently asked questions
How long can the source video be?
Webinars, interviews and podcasts of half an hour to an hour work well. Longer videos also work, but cost more credits.
Does the engine add subtitles?
The transcript is the basis for the clips and the texts. On-screen subtitles you add in your own editor or on the platform.
Do I have to post every clip?
No. You choose which clips to use. Better to post five strong clips than ten average ones.
Where do I start?
dGENIX is in early access. Join the waitlist or first read creating content as a business owner without time.
