AI isn’t writing your subsequent Pulitzer-winning article—no less than, not but. However it does have one thing in widespread with a sleep-deprived journalist on a deadline: it predicts what ought to come subsequent, primarily based on patterns it has seen earlier than.
Let’s break down how Giant Language Fashions (LLMs) truly work—with out the sci-fi hype.
(Observe: this put up was written fully by ContentlyAI (v0.3). Whereas it was reviewed by a human, it’s not but good!)
Step 1: AI Reads Like a Analysis Intern, However With Some Main Flaws
Earlier than ChatGPT might generate articles, OpenAI skilled it by feeding it an enormous slice of the web—books, articles, web sites, and extra. Consider it like a media intern who’s been handed each previous version of The New York Instances, Wikipedia, and 1000’s of weblog posts to skim by means of.
However in contrast to a human researcher, AI isn’t interested by what it reads. It’s not fact-checking. It’s simply absorbing billions of phrases to acknowledge how language flows.
An actual-world instance: If an AI reads 1000’s of sports activities recaps, it is going to acknowledge that phrases like “clutch efficiency,” “slender victory,” and “got here from behind” typically seem in sport summaries. It doesn’t perceive sports activities—it simply is aware of the phrases go collectively.
A key stat: The coaching dataset for LLMs can comprise trillions of phrases—OpenAI’s GPT-4 mannequin is estimated to have been skilled on over 15 trillion tokens (small chunks of textual content).
Contently Perception
At Contently, we take AI coaching a step additional. As an alternative of pulling from generic, mass-scraped web content material, our AI is fine-tuned on high-quality, industry-specific content material from our proprietary repository. This ensures AI-generated ideas align with expert-driven insights, moderately than surface-level web patterns.
Step 2: AI Doesn’t Write—It Predicts
Ever typed a textual content message and had your telephone guess the subsequent phrase? That’s precisely how LLMs work—however on a a lot bigger scale.
Once you sort a immediate into ChatGPT, the mannequin doesn’t know the reply. It appears to be like at your phrases and tries to foretell essentially the most statistically seemingly subsequent phrase, then the subsequent, and so forth.
Think about you begin with:
- “The content material advertising and marketing {industry} is…”
Primarily based on what it has learn earlier than, the AI may assume:
- “…evolving quickly.” (Widespread advertising and marketing phrase)
- “…experiencing main adjustments.” (Extra common however nonetheless cheap)
- “…dominated by search engine marketing tendencies and viewers engagement.” (A bit spicier)
Because of this AI can sound impressively fluent—but in addition why it typically hallucinates and makes issues up. If it doesn’t have robust information patterns to depend on, it simply makes its finest guess, even when it’s incorrect.
An actual-world instance: AI-generated articles have been caught inventing pretend quotes and nonexistent research as a result of they mimic how journalism sounds, not how analysis works. In 2023, a lawyer was penalized for citing pretend courtroom circumstances in a authorized temporary—as a result of ChatGPT made them up.
Contently Perception
AI-generated content material can solely be beneficial if it’s correct. That’s why Contently AI features a built-in fact-checking agent that verifies statements earlier than they seem in copy. It searches the net, cross-references a number of sources, and ensures that AI-generated textual content is grounded in actual, up-to-date info earlier than delivering it to writers and editors.
Step 3: AI Will get Nice-Tuned to Be Extra Helpful
With out some post-training polish, AI can be an unreliable, robotic textual content generator. Firms like OpenAI, Google, and Anthropic refine their fashions utilizing human suggestions.
How they do it:
- Including dialog guidelines: AI is skilled to reply helpfully and politely.
- Avoiding misinformation: It’s taught to say “I don’t know” as an alternative of guessing (although it doesn’t all the time observe this rule).
- Filtering biases: AI groups refine responses to keep away from offensive or deceptive content material.
This fine-tuning is why ChatGPT sounds extra pure and why AI fashions can refuse to reply sure questions.
An actual-world instance: For those who ask ChatGPT, “How do I get round paywalls?” it gained’t offer you a solution as a result of it was skilled to keep away from unethical content material. However for those who ask, “What are the perfect free journalism sources?” it’ll fortunately present a listing.
Contently Perception
Contently AI is fine-tuned for advertising and marketing, media, and publishing professionals, guaranteeing that it suggests content material aligned with model tips and viewers wants. It doesn’t simply generate content material—it refines and optimizes it for {industry} relevance, excessive engagement, and LLM discoverability.
Step 4: AI Nonetheless Has Blind Spots—However They’re Disappearing
Early AI fashions had a significant limitation: they weren’t linked to the reside net, which means their “data” was frozen in time. This was an issue for industries like media and advertising and marketing, the place real-time info issues.
That’s not the case. Most fashionable LLMs—like OpenAI’s GPT-4 Turbo, Google Gemini, and Meta’s LLaMA 3—are actually linked to the web, permitting them to retrieve the newest information when essential.
An actual-world instance:
- For those who ask a contemporary AI, “What’s the newest Instagram algorithm replace?” it will possibly now pull in real-time info as an alternative of counting on outdated coaching information.
- AI-generated weblog posts can now be told by the newest tendencies, moderately than recycling stale finest practices.
A key stat: Research present that over 70% of entrepreneurs are experimenting with AI-generated content material, however fact-checking and model voice alignment stay high considerations (Content material Advertising and marketing Institute, 2023).
Contently Perception
Contently AI is absolutely linked to the net, which means it will possibly pull within the newest tendencies, information, and {industry} updates. Even higher, it may be linked to your firm’s current content material library, guaranteeing that AI-generated content material aligns with brand-approved insights, previous work, and distinctive experience.
Step 5: AI Isn’t Changing Writers—It’s Making Them Extra Environment friendly
Writers and editors aren’t going wherever, however their workflows are altering quick. AI isn’t right here to interchange human creativity—it’s right here to speed up content material manufacturing, enhance effectivity, and get rid of time-consuming duties.
How AI is being utilized in content material as we speak:
- Serving to brainstorm weblog matters, headlines, and social captions
- Producing nice first drafts (that also want human modifying!)
- Automating repetitive content material (product descriptions, FAQs, and so on.)
However AI alone gained’t create thought management. It will probably solely remix current concepts, not generate new, expert-driven insights. That’s why the perfect content material nonetheless comes from actual consultants who can problem tendencies, add private views, and create distinctive narratives.
An actual-world instance: For those who ask ChatGPT, “What’s the way forward for content material advertising and marketing?” it would predict tendencies primarily based on previous articles—but it surely gained’t have an authentic take like an {industry} skilled would.
Contently Perception
With Contently AI, Writers and Managing Editors can use AI Content material Brokers to perform their purchasers’ duties sooner and at a better high quality bar. This implies they’ll generate first drafts in minutes, refine them utilizing Contently’s fine-tuned AI for model and voice consistency, and focus their time on high-value editorial work. As an alternative of getting slowed down in repetitive duties, groups can scale content material manufacturing effectively whereas guaranteeing that each piece is fact-checked, optimized, and prepared for publication.
The Takeaway: AI Is a Content material Accelerator, Not a Substitute
AI isn’t changing content material groups—it’s amplifying their capabilities. When used strategically, it enhances creativity, accelerates workflows, and ensures each piece of content material meets the best requirements.
However not all AI is created equal. Many AI instruments generate content material that sounds good however lacks originality, accuracy, or strategic alignment. That’s the place Contently AI stands out.
With fact-checked insights, real-time information integration, and brand-specific fine-tuning, Contently AI helps content material groups:
- Create high-quality, on-brand content material sooner by producing structured outlines, first drafts, and optimized copy.
- Guarantee accuracy with built-in fact-checking that verifies claims earlier than they seem in content material.
- Keep forward of {industry} tendencies with real-time net connectivity and entry to previous firm content material for deeper context.
- Scale content material manufacturing effectively whereas liberating up time for strategic storytelling and editorial oversight.
The way forward for content material advertising and marketing isn’t about selecting between people and AI—it’s about utilizing AI as a content material coworker that empowers groups to create higher, smarter, and extra impactful content material. With Contently AI, your crew isn’t simply maintaining—they’re main the best way.
