AI isn’t writing your subsequent Pulitzer-winning article—at the least, 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, based mostly on patterns it has seen earlier than.
Let’s break down how Giant Language Fashions (LLMs) really work—with out the sci-fi hype.
(Word: this submit was written solely 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 may 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 hundreds of weblog posts to skim via.
However in contrast to a human researcher, AI isn’t fascinated about 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 hundreds of sports activities recaps, it would acknowledge that phrases like “clutch efficiency,” “slim victory,” and “got here from behind” usually 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 strategies align with expert-driven insights, relatively 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 following phrase? That’s precisely how LLMs work—however on a a lot bigger scale.
If you sort a immediate into ChatGPT, the mannequin doesn’t know the reply. It seems at your phrases and tries to foretell probably the most statistically probably subsequent phrase, then the following, and so forth.
Think about you begin with:
- “The content material advertising and marketing {industry} is…”
Based mostly on what it has learn earlier than, the AI may assume:
- “…evolving quickly.” (Frequent advertising and marketing phrase)
- “…experiencing main adjustments.” (Extra basic however nonetheless affordable)
- “…dominated by search engine optimisation tendencies and viewers engagement.” (A bit spicier)
That is why AI can sound impressively fluent—but additionally why it generally hallucinates and makes issues up. If it doesn’t have robust knowledge 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 faux 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 faux court docket 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 High-quality-Tuned to Be Extra Helpful
With out some post-training polish, AI could be an unreliable, robotic textual content generator. Corporations 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 a substitute 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: If you happen to ask ChatGPT, “How do I get round paywalls?” it received’t provide you with a solution as a result of it was skilled to keep away from unethical content material. However for those who ask, “What are the most effective free journalism sources?” it’ll fortunately present an inventory.
Contently Perception
Contently AI is fine-tuned for advertising and marketing, media, and publishing professionals, making certain that it suggests content material aligned with model pointers 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 related to the dwell net, which means their “information” was frozen in time. This was an issue for industries like media and advertising and marketing, the place real-time data issues.
That’s not the case. Most trendy LLMs—like OpenAI’s GPT-4 Turbo, Google Gemini, and Meta’s LLaMA 3—are actually related to the web, permitting them to retrieve the most recent knowledge when obligatory.
An actual-world instance:
- If you happen to ask a contemporary AI, “What’s the most recent Instagram algorithm replace?” it will possibly now pull in real-time data as a substitute of counting on outdated coaching knowledge.
- AI-generated weblog posts can now learn by the most recent tendencies, relatively 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 Institute, 2023).
Contently Perception
Contently AI is totally related to the net, which means it will possibly pull within the newest tendencies, knowledge, and {industry} updates. Even higher, it may be related to your firm’s current content material library, making certain 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 anyplace, however their workflows are altering quick. AI isn’t right here to switch 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 enhancing!)
- Automating repetitive content material (product descriptions, FAQs, and many others.)
However AI alone received’t create thought management. It will probably solely remix current concepts, not generate new, expert-driven insights. That’s why the most effective content material nonetheless comes from actual specialists who can problem tendencies, add private views, and create distinctive narratives.
An actual-world instance: If you happen to ask ChatGPT, “What’s the way forward for content material advertising and marketing?” it would predict tendencies based mostly on previous articles—nevertheless it received’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 shoppers’ 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 making certain that each piece is fact-checked, optimized, and prepared for publication.
The Takeaway: AI Is a Content material Accelerator, Not a Alternative
AI isn’t changing content material groups—it’s amplifying their capabilities. When used strategically, it enhances creativity, hastens workflows, and ensures every bit 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 knowledge 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 group isn’t simply maintaining—they’re main the way in which.
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AI isn’t writing your subsequent Pulitzer-winning article—at the least, 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, based mostly on patterns it has seen earlier than.
Let’s break down how Giant Language Fashions (LLMs) really work—with out the sci-fi hype.
(Word: this submit was written solely 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 may 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 hundreds of weblog posts to skim via.
However in contrast to a human researcher, AI isn’t fascinated about 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 hundreds of sports activities recaps, it would acknowledge that phrases like “clutch efficiency,” “slim victory,” and “got here from behind” usually 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 strategies align with expert-driven insights, relatively 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 following phrase? That’s precisely how LLMs work—however on a a lot bigger scale.
If you sort a immediate into ChatGPT, the mannequin doesn’t know the reply. It seems at your phrases and tries to foretell probably the most statistically probably subsequent phrase, then the following, and so forth.
Think about you begin with:
- “The content material advertising and marketing {industry} is…”
Based mostly on what it has learn earlier than, the AI may assume:
- “…evolving quickly.” (Frequent advertising and marketing phrase)
- “…experiencing main adjustments.” (Extra basic however nonetheless affordable)
- “…dominated by search engine optimisation tendencies and viewers engagement.” (A bit spicier)
That is why AI can sound impressively fluent—but additionally why it generally hallucinates and makes issues up. If it doesn’t have robust knowledge 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 faux 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 faux court docket 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 High-quality-Tuned to Be Extra Helpful
With out some post-training polish, AI could be an unreliable, robotic textual content generator. Corporations 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 a substitute 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: If you happen to ask ChatGPT, “How do I get round paywalls?” it received’t provide you with a solution as a result of it was skilled to keep away from unethical content material. However for those who ask, “What are the most effective free journalism sources?” it’ll fortunately present an inventory.
Contently Perception
Contently AI is fine-tuned for advertising and marketing, media, and publishing professionals, making certain that it suggests content material aligned with model pointers 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 related to the dwell net, which means their “information” was frozen in time. This was an issue for industries like media and advertising and marketing, the place real-time data issues.
That’s not the case. Most trendy LLMs—like OpenAI’s GPT-4 Turbo, Google Gemini, and Meta’s LLaMA 3—are actually related to the web, permitting them to retrieve the most recent knowledge when obligatory.
An actual-world instance:
- If you happen to ask a contemporary AI, “What’s the most recent Instagram algorithm replace?” it will possibly now pull in real-time data as a substitute of counting on outdated coaching knowledge.
- AI-generated weblog posts can now learn by the most recent tendencies, relatively 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 Institute, 2023).
Contently Perception
Contently AI is totally related to the net, which means it will possibly pull within the newest tendencies, knowledge, and {industry} updates. Even higher, it may be related to your firm’s current content material library, making certain 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 anyplace, however their workflows are altering quick. AI isn’t right here to switch 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 enhancing!)
- Automating repetitive content material (product descriptions, FAQs, and many others.)
However AI alone received’t create thought management. It will probably solely remix current concepts, not generate new, expert-driven insights. That’s why the most effective content material nonetheless comes from actual specialists who can problem tendencies, add private views, and create distinctive narratives.
An actual-world instance: If you happen to ask ChatGPT, “What’s the way forward for content material advertising and marketing?” it would predict tendencies based mostly on previous articles—nevertheless it received’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 shoppers’ 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 making certain that each piece is fact-checked, optimized, and prepared for publication.
The Takeaway: AI Is a Content material Accelerator, Not a Alternative
AI isn’t changing content material groups—it’s amplifying their capabilities. When used strategically, it enhances creativity, hastens workflows, and ensures every bit 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 knowledge 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 group isn’t simply maintaining—they’re main the way in which.
