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— AI Content·Distributed (US + EU)·May 10, 2026·11 days

Multi-channel SaaS launch (anonymized)

Daily voice-locked content pack across 5 channels, generated by 1 script and AI-tell-linted before render.

Multi-channel SaaS launch (anonymized) — SaaS / B2B software
— Manual content QA
Before: Hours daily
After: Linted automatically
hours back
— Channels from one script
Before: 1
After: 5
5x reach
— AI-tell phrases shipped
Before: Slipping through
After: Linted out
hard-fail gate
— Founder sign-off
Before: Frequent rewrites
After: Ships as-drafted
trust restored

Before/after figures from a single engagement — Multi-channel SaaS launch (anonymized), SaaS / B2B software, Distributed (US + EU) — measured across a 11 days implementation and written up 10 May 2026. One client's result, not an industry benchmark.

— The problem

What was actually broken.

A SaaS operator launching a new product needed daily voice-locked content shipping across LinkedIn, Facebook, Instagram, YouTube and TikTok — and could not afford a content team. Previous attempts with content tools resulted in obvious AI-generated posts that the founder refused to ship under his own face.

The brief was a single script that generates a full daily pack across all 5 channels, with each channel format-correct (carousel for LI, vertical for IG/TT, horizontal for YT), and zero AI-tell phrases surviving to render.

— What we built

The solution stack.

— Tools
Claude Code (orchestration)Custom 60+ AI-tell lintern8n (scheduling)html2canvas (LI carousels)FFmpeg (IG/TT vertical)
— Implementation (11 days)
  • →Day 1-2: Mapped each channel's format constraints and the founder's voice samples (12 LI posts, 8 IG reels).
  • →Day 3-4: Built the voice-lock prompt against the founder's actual cadence (contrarian hook → reframe → CTA).
  • →Day 5-7: Wired the 5-channel parallel render — carousel HTML, vertical video, horizontal video.
  • →Day 8: Linter wired pre-render — any AI-tell phrase hard-fails the build.
  • →Day 9-10: n8n schedule + drip cadence across channels.
  • →Day 11: Founder dry-run, ship.
— Results

What changed.

The reason founders refuse to ship AI-generated content under their face isn't capability — it's pattern recognition. They've read enough LinkedIn slop to spot 'fast-paced world' and 'unlock potential' at 30 paces, and they assume their audience can too. The linter is the trust mechanism that lets them sign off.

Channel-format parity was the second hard problem. Most content engines spit out one piece of copy and call it 'cross-platform'. Real cross-platform means a 1080×1350 carousel for LinkedIn, a 9:16 vertical for IG/TT, and a 16:9 horizontal for YT — each with the hook, the body and the CTA recomposed to fit the format's pacing. We modeled all three.

The founder signing off on nearly every pack without a rewrite is the only outcome we cared about. If the founder won't ship it, the rest of the system is irrelevant.

“I sign off on 9 out of 10 packs without rewriting anything. I haven't had that experience with any other content tool.”

— Founder, multi-channel SaaS launch

Tools & services used

n8n Automation
— Same builder · same playbook

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