That thing you do the same way every time? I'll help you get AI on it. We start small on purpose.
One repeatable workflow at a time.
Jerami Singleton
1.5 years of computer programming. Self-taught video editor since 2023. Building with AI since 2024.
Where the Work Gets Stuck
You usually know where things start to break: unclear requests, files everywhere, missing context, and follow ups nobody wants to chase.
The goal is simple: one place to see what matters, what's stuck, and what needs to ship next.
Make each request easier to track from the start.
Project Goal
Final outcome and success criteria
Assets Needed
Raw footage, brand files, examples
Edit Notes
Structure, timestamps, revision context
Delivery Date
Export specs and handoff deadline
Set up folders so nobody has to guess where things go.
Video
Timeline ready to build
Audio
V1 cleanup prepped
Graphics
Brand pieces aligned
B-Roll
Support clips sorted
Turn feedback into decisions and the next thing to do.
3 updates ready
Save what worked so the next project starts cleaner.
Everything that worked, ready for next time.
Delivery package
We can start by reviewing the process around requests, files, follow ups, and repeat tasks.
Too Many Places
Forms, files, notes, messages, and requests are spread out.
Manual Follow-Up
The next step depends on someone remembering who needs what.
Batch Work
Repeated tasks need a cleaner way to review, approve, and ship.
AI-Assisted Setup
AI only helps when it fits the way the work really gets done.
Real examples of messy work cleaned up enough to reuse, with the before, the build, and the portfolio kept together.
Portfolio System
200+ course video files became ordered upload paths with cleaner names, mapped course libraries, and ready-to-ship structure.
Unordered Source Folder
Course videos received, but order and upload prep are unclear.
Folder
Course_Videos (messy)
YouTube limit: split required
Long lessons must be broken apart before upload.
Hard to ship manually
Inconsistent names, unknown order, and very long files.
A custom workflow for moving athlete video work through lookup, review, follow-up, and delivery without losing status.
Outcome
140+ highlights
delivered in 6 weeks
Status, follow-up, send readiness, and review needs stayed visible as volume increased.
Manual Tracking
Lookup, video updates, follow-up, and delivery pressure were spread across repeated steps.
Operator View
Lookup, status, shortcuts, and next steps all lived closer to the work.
Shipped Under Load
Real delivery volume moved with less manual tracking, fewer repeated clicks, and fewer memory based follow ups.
01
Pick one workflow that keeps coming back.
02
Watch how it’s done now.
03
Write down the messy parts: tools, files, and follow ups.
04
Create a simple hub, prompt, checklist, or automated path.
05
Check what went out and choose the next fix.
Book a Workflow Session or tell me what you wish AI could help you do.