Activity
Mon
Wed
Fri
Sun
Dec
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
What is this?
Less
More
1 contribution to AI Avengers Lab
Linkedin Automated
What if creating your next LinkedIn post was as simple as sending a text? That’s exactly what I built for myself. Here’s the workflow: 1. I send a topic to a Telegram bot, or simply say, “write a post about X.” 2. It researches the topic in real time and pulls actual facts and sources instead of making up stats. 3. It writes the post in my voice, without the generic AI feel. 4. It generates a matching image. 5. Everything comes back to me in Telegram for review. 6. If I like it, I hit APPROVE → it publishes directly to LinkedIn and sends me a confirmation. 7. If I don’t like it, I tell it why: “make it punchier,” “different angle,” “too generic,” etc. It rewrites and sends me a new draft. And it keeps looping until I approve it. No dashboard. No copy-pasting. No jumping between 4 different tools. No content calendar to babysit. Just: Message → Review → Approve. And this is the part I care about most: AI never gets the final say. I do. The AI handles the research, writing, image generation, and publishing workflow. I handle the judgment. That’s the difference between letting AI randomly post for you and building an AI content system around your actual workflow. If you run a business, build in public, or simply hate staring at a blank LinkedIn post box, this is the kind of system I build.
Linkedin Automated
1 like • Sep 27
Clean workflow. The missing step that makes it compound over time: a feedback loop. Right now the system generates, you approve, it publishes. Step 7 would be: pull the engagement data 48h after posting (impressions, comments, reposts) and feed that back into the generation prompt. Over time, the AI learns which angles, formats, and topics resonate with your specific audience — not just a generic 'write in my voice' instruction. Even a simple version: tag posts by hook type when they’re sent for review. After 6 months, the data tells you which hook patterns consistently outperform. Then the prompt gets updated to weight those higher. The human-in-the-loop approval step is exactly right. That’s where brand safety lives. The feedback loop is what stops it from being a content generator and makes it a learning system.
1-1 of 1
Md Murad Hossain
1
4 points to level up
@md-murad-hossain-5663
GHL + n8n automation system for local business | AI Voice & SMS Agent, CRM & Lead Follow-Up | Helping businesses capture, qualify & convert more leads

Active 12h ago
Joined Sep 12, 2026
Bangladesh