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LinkedIn Content Autopilot — n8n Workflow Bundle
A complete n8n system that drafts LinkedIn posts from your feeds, learns your writing voice from every decision you make, and publishes with one tap in Telegram.
Posting consistently on LinkedIn is a grind: finding material, writing in your own voice, and actually hitting publish every day. This bundle turns that into a one-tap Telegram decision.
What's included
- Ingest & Draft — watches multiple content feeds and turns fresh items into LinkedIn post drafts with an LLM, written against your learned style profile.
- Publishing approval router — a 49-node Telegram workflow: each draft arrives with inline buttons to Approve, Regenerate, Adjust, or Reject. Approvals go straight to Buffer for LinkedIn, with an optional X (Twitter) variant generated on the fly. Image posts supported.
- Style Distiller — a nightly loop that turns every approve/reject/regenerate/adjust decision into a per-platform style profile, so drafts sound more like you every week.
How it works
- Feeds are ingested and drafted automatically.
- You get a Telegram message with the draft and four buttons.
- Approve sends it to Buffer (LinkedIn and optionally X). Regenerate or Adjust rewrites it with your style profile injected. Reject archives it.
- Every decision is logged and distilled into your evolving style profile overnight.
Requirements
- A self-hosted or cloud n8n instance
- PostgreSQL database
- Telegram bot (free)
- Buffer account with LinkedIn (and optionally X) connected
- Any OpenAI-compatible LLM endpoint — local (e.g. Ollama) or hosted
What you download
- The three importable n8n workflow JSON files
- A ready-to-run PostgreSQL schema (
schema.sql) - A step-by-step setup guide in English and Arabic — credentials, Telegram bot, Buffer channels, customizing the feeds, prompts, and models to your own voice
Let's Create Something
Together
Have a project, an idea, or a challenge that needs a technical partner? I'm always open to discussing new opportunities and collaborations. Drop me a message and let's get started.