Video Pipeline
The Video Pipeline converts the photos and testimonials your field techs already capture into short-form video content for social media — without requiring anyone on your team to know how to edit video. The photos go into the job record via the Mobile App. The Video Pipeline takes them out the other side as polished before/after reels, branded with your logo and colors, ready to publish to Instagram, Facebook, TikTok, or your website.
This closes a gap that most contracting businesses leave open. They do great work, they have the proof sitting in a folder of job photos, and it never becomes a video because no one has time to edit it. The Video Pipeline eliminates the editing step entirely — the AI assembles the content, applies the branding, and queues it for posting. A human reviews and approves before anything goes live. The output is a consistent stream of marketing content that demonstrates real completed work to prospective customers.
The pipeline is not a general-purpose video editor. It does one thing well: turn contracting job documentation into the specific video formats that drive inbound leads for trades businesses — before/after reveals, time-lapse sequences, customer testimonial clips, and project highlights.
Video Types
Before/After Reveal
The most effective format for trades businesses. The AI pairs before-tagged and after-tagged photos from a job and assembles a reveal-style reel with:
- Business logo intro (2 seconds)
- Before photos with "Before" label
- Transition wipe effect
- After photos with "After" label
- Business name, phone, and website outro
Output: 15–30 second vertical video (9:16) optimized for Instagram Reels and TikTok, and a 16:9 version for Facebook and YouTube Shorts.
Project Highlight Reel
Uses all photos from a job (before, during, and after) sequenced chronologically. Suitable for larger projects where the transformation story benefits from showing the full process. Duration: 45–90 seconds.
Customer Testimonial Clip
Takes a text testimonial from the Review Funnel and creates a branded text-overlay video with the customer's name, the service performed, and a star rating. Customer photo optional. Uses motion graphics rather than a talking-head video — no filming required.
Time-Lapse Assembly
If a job has a sequence of progress photos taken at regular intervals, the pipeline can assemble them into a time-lapse reel showing the full transformation in 15–20 seconds.
Content Calendar
Published and scheduled videos are tracked in a content calendar view within the Video Pipeline module. The calendar shows:
- Published videos and their post dates
- Scheduled videos awaiting publish date
- Draft videos awaiting review and approval
- Suggested publish dates based on the business's optimal posting schedule (AI-generated based on engagement data if connected social accounts are analyzed)
Social Media Publishing
Connected social accounts receive scheduled posts from the content calendar. Supported platforms:
| Platform | Post Types |
|---|---|
| Reels, Feed posts, Stories (manual story posting) | |
| Reels, Feed videos, Page posts | |
| TikTok | Videos |
| YouTube | Shorts |
Social account connections are configured in Settings using OAuth. Posts require approval before scheduling — the Video Pipeline never publishes without a human reviewing the content.
CRUD Operations
| Operation | Available | Notes |
|---|---|---|
| View | Yes | Video library shows all generated videos with status (Draft / Approved / Scheduled / Published); content calendar shows scheduled posts |
| Create | Yes | Videos generated automatically when a job with before/after photos is marked Complete; also triggerable manually from any job record |
| Update | Yes | Draft videos can be regenerated with different templates, music, or photo selection before approval; scheduled posts can have their publish date changed |
| Delete | Yes | Draft and approved videos can be deleted from the library; published posts must be deleted directly on the social platform — the CRM records that a post was made but cannot delete it from the platform |