Save 10+ hours on content weekly

350+ posts scanned. 25 winners picked. Every Monday. Without me touching a thing.

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You'll leave knowing what's actually possible when you stop chasing tools and start building a system that runs the business for you.

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Now to the main topic…

I run my entire content engine through 2 commands. (Before you judge “one more guy who shares some clickbait shit” – stop it.)

I say I run; that doesn’t mean I post right away what AI gives me (LoL).

Give me 3 minutes of your time and you will understand how it works in practice (+ you have the video breakdown below)

The first command finds what’s worth posting this week. It’s automated. I drink coffee while it runs.

The second command writes the drafts, outlines, and visual prompts for YouTube, my newsletter, and LinkedIn. In my voice. Following my brand guidelines.

That second one is not automated. On purpose.

Look, I’ll be honest with you. I would never let AI write my whole post start to end. Never.

The day I do that is the day I lose the only thing that’s actually mine. My opinions. My edge. My way of seeing things.

So the system writes the draft. I rewrite the draft. That’s it.

Here’s what each command actually does.

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Command 1: /content-research

Every morning, this command goes out and pulls 50 to 100 posts per platform across LinkedIn, Substack, YouTube, X, and Reddit. Across the channels and people I actually care about.

That’s around 351 posts in one run.

Then five sub-agents (one per platform) run in parallel. They aggregate. They dedupe. They pre-filter.

Then three more agents score every post on three things:

→ Does it match one of my content pillars?

→ Is it actually new, or already saturated?

→ Does it sound like something my voice could carry?

Out of 351 posts, the system picks 25 winners. Divided clean by my three pillars.

This is literally curated feed in my Notion, LoL, with full context about each post including links, engagements, angles etc…

The system also reads my last 7 days of coaching and sales calls (Fathom records them). It mines what people actually asked me. Then it pushes those questions into the same idea pool.

So the 25 winners aren’t just “what’s trending on the internet.”

The 25 winners are “what’s trending and what your buyers are asking you about right now.”

That’s a completely different filter.

Every winner shows up in Notion as its own subpage:

→ The hook (verbatim)

→ The full transcript or post copy

→ The repurpose path (YouTube? Newsletter? LinkedIn?)

→ A direct link to the original

I open Notion. I read 25 winners over coffee. I pick one or two.

That’s it for command one.

This step alone saves me 6 hours every week. Six hours of “what should I post next.” Gone.

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Command 2: /content-production

I flip a winner from “Not Started” to “In Production” in Notion.

Then I run /content-production.

The system reads:

→ My business profile

→ My ICP (who I’m writing for)

→ My current priorities

→ My voice DNA file

→ My content pillars

→ My brand guidelines

→ The full transcript of whichever winner I picked

Then it produces every format that winner needs:

→ A YouTube brief, outline, script, packaging, title, description

→ A newsletter edition (the one you’re reading right now)

→ A Substack note

→ A LinkedIn carousel and infographic and contrarian post

All in my voice. All branded. All ready for me to rewrite.

Last week I picked one idea from Nate Herk. The post was “every layer of Claude Code explained.” Within 20 minutes the system gave me a LinkedIn carousel, an infographic, a contrarian post, and a draft newsletter on it.

I didn’t ship any of those drafts as-is. I opened Whisper Flow, talked into it, added my opinions, my framing, my Bosnia-shaped way of seeing the same idea. Took me 30 more minutes.

That’s 50 minutes from “winning idea” to “ready to publish across 3 channels.”

Without the system? A full afternoon. Maybe two.

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Why I don’t let AI write end-to-end

This is the part I want you to actually hear.

Most LLMs are programmed to please you. Not to push you. ChatGPT gives you 7/10 when reality is 3/10. It tells you the post is great. It tells you the hook is strong. It’s not. It’s never that strong.

When I let AI write for me, I sound like everyone else. Same hooks. Same structures. Same “5 tips to...” soulless wallpaper that’s drowning every feed.

When I rewrite AI drafts, I sound like me.

The difference is the difference between getting likes and getting clients.

So the system does the research. The system does the first draft. The system does the visual prompts. The system does the packaging.

I do the thinking.

That’s the contract. That’s why this works.

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The compound part

Here’s the thing nobody talks about.

Every time I run /content-research, the brain remembers. Every winner I pick. Every angle that worked. Every coaching-call question that turned into a post that landed.

Next week, the system is sharper than it was this week. The pillars get tighter. The voice scoring gets more accurate. The winners get more obviously mine.

That’s the part no tool on the market gives you. Every SaaS dashboard is the same on day 1 and day 365. This system gets sharper.

That’s why I keep saying: you don’t need another AI tool. You need to finish one system that remembers.

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The receipts

→ 351 posts scanned per run

→ 25 winners ranked, with full context

→ 6 hours back every week

→ 0 generic AI-slop drafts published

→ My voice intact. Period.

That’s what 2 commands look like.

To your next client,

Sabahudin ‘one command, 5 channels’ Murtic

P.S.

What’s the one part of your content workflow that’s still eating your week? Reply and tell me. If five people say the same thing, I’ll write the next edition about exactly that.

P.P.S.

Massive shout-out to the Trigify team. Without their scan engine, none of this works.

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