How I Use AI & Custom GPTs to Create 50+ Social Posts a Week

Feeling swamped by the whole “AI agent” hype but still churning out content the hard way?

Drowning in advice about automation, agents and magical growth formulas, but nothing seems practical for a real-life, overworked marketer or founder?

This one’s for you.

As someone who actually eats, sleeps and breathes content (agency life by day, comedy stage by night), I want to show you the first no-nonsense step: custom GPTs.

Forget building flowcharts in make.com or hiring expensive devs—you can have a content engine up and running that sounds like you.

Here’s exactly how I produce more than 50 posts a week, systemising tone, brand, and workflow, without sacrificing sleep—or sanity.

Watch the video: How I Use AI & Custom GPTs to Create 50+ Social Posts a Week

What is the fastest way to start using AI agents for content marketing?

Let me save you a year of YouTube rabbit-holing: before you go near make.com or any of those high-code automation tools, start with a custom GPT. Why? Because it’s the absolute lowest barrier to testing AI for yourself—no code, just copy, pasting, and training.

• Custom GPTs let you input your own voice, tone, and strategy—no generic AI that sounds like a broken LinkedIn bot.
• You can validate your target use case in minutes, not weeks.
• Prototyping a tone structure or trying new content formats is easy. Want to see if you can write like a fintech bro? Train it so.
• Actual marketers using their own custom agents: rare as hen’s teeth, but you’d think otherwise from LinkedIn.

You don’t need a dev team or fancy API connectors at this stage. All you need is your content, a clear idea of what you want to sound like, and a willingness to experiment. Too many people skip this step and burn time on complex tools they never end up using.

How do I build a custom GPT that actually sounds like me?

Tired of AI content that screams “I am a robot” or, worse, “I am a generic motivational sales guy”? Here’s how I sidestep that robotic feel every day with custom GPTs:

• Start training with your actual posts—think LinkedIn, personal blog, Twitter, wherever you already sound like yourself.
• Define your unique quirks and pet peeves. Mine? No one writes “in the ever-changing world of crypto” on my watch.
• Add documents with the most viral templates in your market. I grabbed a PDF of the top LinkedIn post templates out there—use what works, ditch the fluff.
• Explicitly ban common AI blunders: ban words or opener formats you loathe, like “navigate,” "delve," and all those AI clichés.

Want an example? I trained mine to blend my natural style (comedy, plain English, anti-fluff) with proven LinkedIn post formulas. Each bit of content—LinkedIn, Twitter, whatever—pulls from a tailored knowledge base. For Twitter, I merged my content with a thousand Tweets from another account for a different “voice.” All legal, all effective, and the tools don’t care who wrote what as long as it gets results.

How does this scale content production across multiple channels?

Here’s where things get spicy. You probably have ideas everywhere—in the shower, at the gym, halfway through watching someone else’s marketing webinar. But turning those into content for five platforms? That’s where most people fold.

I use custom GPTs as a daily “factory”:

• Batch creation: I can line up enough LinkedIn posts in one hour to last a month. Used to take 30 minutes per post.
• Transform across formats easily—turn a LinkedIn post into a tweet or vice versa with a quick prompt.
• Mix data sources for every channel: For Twitter, my custom GPT doesn’t even pull from my personal database (since I couldn’t care less), just borrowed “vibe” from a different cache of tweets.
• Keep voice consistent without manual rewriting, so you sound polished everywhere.

I even use my GPT on mobile—dictate while walking to the gym, edit later, post on the go. Comedy posts? Marketing content? All gets batched, formatted, and scheduled by agents rather than me burning out at 2:00 a.m.

Will people notice if my content comes from AI?

Do people notice fake shop signs plastered down the high street? Sometimes. But with the right prompts and training, your custom GPT will write like you, not like ChatGPT’s default mode. The hack: inject personality, ban robotic openings, and force it to keep up with your slang, inside jokes, even your technical terms.

• Add specific prompts about who you are—leave the “I’m a results-driven marketer” guff at the door. My agent literally has a “no cringe” clause.
• Adjust for spelling (UK vs US), terminology, the lot.
• Feed it enough raw material from your actual voice, and it starts to “get” you—even the sarcasm.

Short version: no, people won’t notice, if you train your GPT properly. Most won’t care—as long as the post is interesting, useful, and doesn’t reek of clickbait.

What KPIs improve by switching to custom GPTs?

You’re wondering—does this actually move my KPIs, or just give me more to “optimise”? Here’s the real-life data from my agency and side gigs:

• Time saved: Content calendar for a month in under an hour.
• Consistency: Brand tone stays true, no matter the channel.
• Output: 50+ social posts a week, not counting stand-up gig promos.
• No burnout: No more staring at blank docs at 1am, haunted by the ghost of unfinished Tweets.

Got something similar you’re spinning up? Think about which metric you want to fix first—volume, consistency, tone, or sanity—and train your GPT accordingly.

Quick wins

• Feed your best-performing content into a custom GPT to train your brand voice instantly.
• Use ChatGPT Plus to start—no devs, just upload your files and tweak prompts.
• Ban AI jargon and robotic intros by listing specific words and phrases in your prompt.
• Batch-create posts for a full month in one sitting—try a “30 in 30” LinkedIn sprint to test.
• Repurpose across channels by using tailored GPTs for each format (e.g., one for Twitter, one for LinkedIn).
• Dictate content ideas into your phone, clean them up with your GPT, publish anywhere with minimal editing.

Ready for a content engine that works while you sleep (or, let’s be real, while you do stand-up or run client calls)? Book a free LLM strategy call with me and get actual agent setups that don’t sound like robots: https://calendly.com/victoria_olsina/45min

Frequently Asked Questions

How do I train a custom GPT for my business?

Start by collecting your best-performing content, then upload it to the GPT builder. Define your tone, banned words, and any industry-specific terminology (Web3 SaaS? Crypto loans? Locksmith?). Test results on real posts and tweak as you go.

What tools do I need to get started with custom GPTs?

Start with OpenAI’s ChatGPT Plus, which has a built-in GPT trainer. For automation or scaling, look at make.com or n8n.io, but only once you’re producing great content manually. No need for APIs or fancy devs at this stage.

How can I keep my AI content from sounding generic?

Tell your AI exactly who you are and what you hate—down to banned phrases and compulsory slang. Feed in real client or personal posts, and avoid default templates. Iterate prompts based on test output—never settle for “okay” content.

Is this approach suitable for agencies and solo founders?

Absolutely. Solo founders get instant scale, agencies get consistent voice across multiple brands. The process suits both—just tweak the input data and prompts to match each client’s or founder’s style.

How often should I update my custom GPT training materials?

Review your best-performing content every 4–6 weeks, adding strong new examples and removing outdated or off-brand material. The more current your examples, the sharper your AI's voice stays.

Can custom GPTs help with more technical or regulated content?

Yes, especially when you supply specific terminology, compliance requirements, and industry guidance during training. Technical accuracy comes from your data, not from hoping ChatGPT “gets it” by osmosis.

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