Role

Hire your AI Video Editor

Raw footage goes in. Published, subtitled, platform-ready clips come out.

Your AI video editor takes raw footage — Zoom recordings, webcam loops, podcast video, screen captures — and ships publish-ready clips for YouTube, TikTok, Shorts, and LinkedIn. It cuts filler, adds subtitles, picks thumbnails, writes descriptions, and schedules distribution. You record once; the editor ships everywhere.

Hire your AI Video EditorSee all roles
Free to startNo credit card requiredUpdated Apr 2026

What your AI Video Editor does

01Ingest raw footage from Zoom, Riverside, Descript, or a dropped MP4 and detect the best clips
02Cut filler words, pauses, and low-energy sections while preserving the natural cadence
03Generate burned-in captions tuned per platform (TikTok vertical, YouTube horizontal, LinkedIn square)
04Draft titles, descriptions, and hashtags optimized for each platform's discovery algorithm
05Pick or generate thumbnails and A/B test them across the first 48 hours
06Schedule uploads to YouTube, TikTok, Shorts, Instagram Reels, and LinkedIn in the right cadence
07Flag clips that need a human take — sensitive topics, brand voice risk, legal implications
08Maintain a monthly content report with views, completion rates, and conversion to signups

Workflows on autopilot

Podcast to shorts pipeline
Takes a new podcast episode, identifies 5-8 clip-worthy moments using transcript scoring, cuts them vertical with subtitles, and queues them for the next 10 days of TikTok/Shorts/Reels.
Screen recording to tutorial
Turns raw screen captures into structured YouTube tutorials: adds intro, chapters, zoom effects on key UI moments, and a closing CTA.
Talking-head weekly cadence
Edits a single weekly founder monologue recording into one YouTube long-form plus 3-5 short-form cuts, each tuned to its platform's hook pattern.
Evergreen re-publish
Identifies your top-performing clips quarterly, refreshes thumbnails and titles, and re-queues them for the platforms where they still compound.
Monthly performance roll-up
Sends a single report: top 3 clips, worst 3, what the data suggests changing, and a proposed calendar for next month.

Without vs With a AI Video Editor

Without
  • —You record great content and it sits in a Google Drive folder forever
  • —You pay a $3K/month editor to produce 8 clips a week
  • —Subtitles are an afterthought that hurt completion rates
  • —You pick thumbnails in 3 minutes before bed and wonder why CTR is low
  • —You never know which clips drove signups
With Tycoon
  • ✓Every recording ships to 4 platforms within 48 hours
  • ✓AI editor produces 30+ clips a week at 1-2% of the cost
  • ✓Every clip ships with platform-native burned-in captions
  • ✓Editor A/B tests thumbnails automatically for the first 48 hours
  • ✓Monthly report ties every clip to downstream product conversions

A day in the life of your AI Video Editor

07:30
Detects a new 52-minute podcast recording uploaded to the Drive folder. Transcribes and scores for clip-worthy moments.
09:00
Generates 7 vertical short-form cuts with burned-in subtitles. Drafts titles in three style variants for founder approval.
11:30
Picks thumbnails from auto-extracted facial-expression frames. Queues 4 variants for A/B rotation.
13:00
Publishes today's scheduled clip to TikTok, Shorts, and Reels simultaneously. Cross-posts to LinkedIn with a written hook.
15:00
Monitors early engagement on yesterday's clips. Boosts the one with 1.5x baseline CTR by re-queueing it for a second timezone.
17:30
Drafts 5 YouTube descriptions for the week's long-form uploads. Embeds timestamps and CTA links with UTM parameters.
21:00
Runs nightly pipeline: any raw footage dropped since 6pm is queued for tomorrow's edit batch.

Tools your AI Video Editor uses

Descript for transcript-driven editing and filler removalOpus Clip for long-form to short-form AI cutdownsCapCut for quick vertical edits with templatesRiverside or Zoom for source recordingYouTube Studio, TikTok, Instagram, LinkedIn as publish targetsNotion for the content calendar and asset libraryCloudflare R2 or S3 for archival storagePostHog or Fathom for tying video views to product signups
FAQ

Frequently asked questions

Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.

How good are the automatic cuts compared to a human editor?

For short-form — 30-to-90-second clips from podcasts, talking-heads, and screen recordings — the AI editor is at roughly human-junior-editor quality by default, and human-senior quality after a month of your corrections tuning its taste. For complex long-form edits with multiple source cameras, b-roll, and motion graphics, it's not a full replacement for a senior editor yet. Most Tycoon founders use the AI editor to ship 80% of their catalog — the short-form distribution layer — and keep a human editor for big-launch long-form pieces. The cost ratio makes this overwhelmingly positive even at imperfect parity.

What about brand voice — will it feel robotic?

Brand voice lives in three places: the transcript selection (which clips to cut), the copy (titles, descriptions, hashtags), and the visual rhythm (cut speed, zoom styles, caption fonts). You train each of these once. Point the editor at your best 5 historical clips, tell it what made them work, and it maintains that style going forward. Every time you reject a draft, it asks what changed your mind and updates its taste memory. Within two weeks the AI editor's output is usually indistinguishable from something you would have shipped yourself — and it ships 10x the volume.

Can it handle multiple brands or channels?

Yes — multi-brand is a first-class feature. Each brand gets its own voice profile, platform list, cadence, and thumbnail style. The AI editor can run a personal founder channel, a company channel, and a side-project channel in parallel without bleeding styles between them. Founders running multiple businesses often set this up: one editor serves all three, reporting to the AI CEO which coordinates content calendars across brands. See our /workflows/content-calendar page for how this interacts with the broader content stack.

How does this compare to Opus Clip or Descript alone?

Opus Clip and Descript are excellent individual tools — Opus Clip does AI cutdowns, Descript does transcript-driven editing. The AI video editor inside Tycoon orchestrates these tools with judgment: it picks the right cutter for each source, adjusts for your brand voice, decides distribution, writes copy, and reports back to the AI CEO weekly. It's the difference between owning a hammer and having a carpenter. Most founders keep their Opus Clip and Descript subscriptions and let Tycoon's editor drive them alongside its own transcript and captioning capabilities.

What does the AI video editor cost to run?

Operating cost depends on volume. A founder shipping 10 clips a week typically spends $40-$120/month on AI model calls for transcription, editing, and copy, plus whatever the connected tools cost (Opus Clip ~$20/mo, Descript ~$24/mo). Compare that to a human junior editor at $3,000-$5,000/month or a video agency retainer at $8,000+/month. The economics are roughly the same shape as every other AI role on Tycoon: 1-2% of human cost with better consistency and throughput, especially for short-form volume.

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