From CapCut to full pipeline. One artist. Zero production team.
The Impact
"One person. Label-scale infrastructure."
An independent music artist was producing content by hand. Editing videos in CapCut, boosting social posts through an agency with no tracking, and leaving money on the table with every release. We built a system that turns a song file into platform-ready videos, captures revenue from day one, and runs a closed-loop marketing engine.
The Problem
Everything was manual. Everything.
Here’s what a new song release looked like before:
- Record the track
- Manually edit a CapCut video (hours of work per video)
- Post to social media and hope for the best
- Pay an agency to boost posts with no tracking, no pixel data, no idea what was working
- No email list. No landing page. No way to capture fans or revenue beyond streaming royalties.
Every release was a fire drill. The artist had talent and content, but zero infrastructure to turn attention into a business.
What We Built
A 7-phase AI content pipeline + full marketing platform.
Phase 1 through 3: Audio Intelligence
Audio analysis with Whisper and Librosa. Automatic shot list generation from lyrics and musical structure. Audio segmentation into beat-aligned clips.
Phase 4 and 5: Visual Generation
AI storyboard creation via fal.ai. Video generation with OmniHuman and lip-sync polish. Configurable model registry with 20+ AI video and image models. Swap any model via config, no code changes.
Phase 6 and 7: Assembly + Distribution
Beat-synced video assembly with lyric overlays. Platform-ready TikTok, Reels, and YouTube formats, auto-exported and ready to post.
Marketing Platform
Astro landing page on Vercel with Stripe payments, email capture via Resend, Meta Pixel + CAPI for ad tracking, TikTok Events API. Full conversion infrastructure from day one.
Closed-Loop Ad Engine
Competitive intelligence scraping into campaign strategy into storyboard into creative production into deployment into performance analytics into optimization loop. The whole cycle, automated.
Data Architecture
Full Supabase backend: campaigns, analytics, CRM, monetization, observability. Everything tracked. Nothing guessed.
The Result
A one-person operation with the infrastructure of a mid-size label.
- Song file goes in. Platform-ready videos come out.
- Every release captures emails and revenue from day one.
- Ad campaigns run with real tracking. Not hope and prayer boosts.
- 20+ AI models available, swappable by config. Future-proof by design.
The artist went from hand-editing every video to having a production pipeline that turns raw audio into polished, distributed content. The marketing platform that would cost a label six figures? Running on Vercel for dollars a month. 🐸