Shuttle Content Machine

The Problem

Consistent, high-quality LinkedIn content is a full-time job. As a CRO, I needed to stay visible and relevant across payments, fintech, voice AI, travel, and insurance — without spending hours each day writing.

What I Built

An AI content engine that runs every weekday, completely autonomously:

  1. Scans 20+ industry news sources across payments, fintech, voice AI, travel, and insurance verticals
  2. Selects a content pillar based on a weekly calendar and live news signals
  3. Writes a LinkedIn post in my voice — calm, strategic, diagnostic (Don Draper-inspired)
  4. Generates branded quote card images automatically
  5. Presents posts for approval via an interactive terminal UI
  6. Publishes approved content via Zapier to Radaar scheduling platform

Every post runs through a quality checklist before output. No AI vocabulary, no hype, no em dashes.

Video Pipeline

The system also produces short-form video content through a 6-phase workflow:

  • Brief → Script → Storyboard → Audio → Test Clips → Final
  • Text-to-speech via ElevenLabs with my voice clone
  • AI video generation using Sora 2, Kling, Veo, and Hailuo models
  • Automated cropping, syncing, and stitching with FFmpeg

Tech Stack

  • Claude Code CLI with subagents for parallel processing
  • Node.js with Canvas, Sharp, and FFmpeg
  • ElevenLabs API for voice cloning
  • Kie.ai API for AI video generation
  • Zapier webhooks → Radaar for publishing

Content Framework

  • 5 Content Pillars: Industry News (30%), Prospect Signals (20%), Shuttle Updates (20%), Thought Leadership (20%), Blog Promotion (10%)
  • Writing voice: Don Draper structure — Observation → Structural Shift → Hidden Tension → Category Framing → Light Shuttle Placement
  • Post length: 300–500 words

Results

100+ days of daily content generated and published. Consistent LinkedIn presence without the daily time investment.

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