AI isn’t writing your subsequent Pulitzer-winning article—not 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, based mostly on patterns it has seen earlier than.
Let’s break down how Massive Language Fashions (LLMs) truly work—with out the sci-fi hype.
(Observe: this publish 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 may generate articles, OpenAI educated it by feeding it a large 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 Occasions, Wikipedia, and hundreds of weblog posts to skim by.
However not like a human researcher, AI isn’t desirous 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 is going to acknowledge that phrases like “clutch efficiency,” “slim 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 include trillions of phrases—OpenAI’s GPT-4 mannequin is estimated to have been educated on over 15 trillion tokens (small chunks of textual content).
Contently Perception
At Contently, we take AI coaching a step additional. As a substitute 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 options align with expert-driven insights, somewhat 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 kind 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 possible 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.” (Widespread advertising and marketing phrase)
- “…experiencing main adjustments.” (Extra common however nonetheless affordable)
- “…dominated by search engine optimisation traits and viewers engagement.” (A bit spicier)
For this reason AI can sound impressively fluent—but in addition why it generally 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 court docket instances in a authorized temporary—as a result of ChatGPT made them up.
Contently Perception
AI-generated content material can solely be helpful 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 online, 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. Firms like OpenAI, Google, and Anthropic refine their fashions utilizing human suggestions.
How they do it:
- Including dialog guidelines: AI is educated 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 at all times 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: Should you ask ChatGPT, “How do I get round paywalls?” it gained’t offer you a solution as a result of it was educated to keep away from unethical content material. However for those who ask, “What are the very best 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 linked to the dwell net, that means their “data” 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 linked to the web, permitting them to retrieve the most recent information when vital.
An actual-world instance:
- Should you ask a contemporary AI, “What’s the most recent Instagram algorithm replace?” it might now pull in real-time data as an alternative of counting on outdated coaching information.
- AI-generated weblog posts can now be told by the most recent traits, somewhat 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 prime issues (Content material Advertising Institute, 2023).
Contently Perception
Contently AI is absolutely linked to the online, that means it might pull within the newest traits, information, and {industry} updates. Even higher, it may be linked 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 exchange human creativity—it’s right here to speed up content material manufacturing, enhance effectivity, and eradicate time-consuming duties.
How AI is being utilized in content material at present:
- Serving to brainstorm weblog subjects, 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 gained’t create thought management. It might probably solely remix current concepts, not generate new, expert-driven insights. That’s why the very best content material nonetheless comes from actual consultants who can problem traits, add private views, and create distinctive narratives.
An actual-world instance: Should you ask ChatGPT, “What’s the way forward for content material advertising and marketing?” it would predict traits based mostly on previous articles—nevertheless it gained’t have an authentic take like an {industry} knowledgeable would.
Contently Perception
With Contently AI, Writers and Managing Editors can use AI Content material Brokers to perform their purchasers’ duties sooner and at the next 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 a substitute 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 Substitute
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 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} traits with real-time net connectivity and entry to previous firm content material for deeper context.
- Scale content material manufacturing effectively whereas releasing 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 way in which.
AI isn’t writing your subsequent Pulitzer-winning article—not 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, based mostly on patterns it has seen earlier than.
Let’s break down how Massive Language Fashions (LLMs) truly work—with out the sci-fi hype.
(Observe: this publish 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 may generate articles, OpenAI educated it by feeding it a large 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 Occasions, Wikipedia, and hundreds of weblog posts to skim by.
However not like a human researcher, AI isn’t desirous 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 is going to acknowledge that phrases like “clutch efficiency,” “slim 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 include trillions of phrases—OpenAI’s GPT-4 mannequin is estimated to have been educated on over 15 trillion tokens (small chunks of textual content).
Contently Perception
At Contently, we take AI coaching a step additional. As a substitute 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 options align with expert-driven insights, somewhat 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 kind 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 possible 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.” (Widespread advertising and marketing phrase)
- “…experiencing main adjustments.” (Extra common however nonetheless affordable)
- “…dominated by search engine optimisation traits and viewers engagement.” (A bit spicier)
For this reason AI can sound impressively fluent—but in addition why it generally 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 court docket instances in a authorized temporary—as a result of ChatGPT made them up.
Contently Perception
AI-generated content material can solely be helpful 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 online, 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. Firms like OpenAI, Google, and Anthropic refine their fashions utilizing human suggestions.
How they do it:
- Including dialog guidelines: AI is educated 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 at all times 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: Should you ask ChatGPT, “How do I get round paywalls?” it gained’t offer you a solution as a result of it was educated to keep away from unethical content material. However for those who ask, “What are the very best 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 linked to the dwell net, that means their “data” 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 linked to the web, permitting them to retrieve the most recent information when vital.
An actual-world instance:
- Should you ask a contemporary AI, “What’s the most recent Instagram algorithm replace?” it might now pull in real-time data as an alternative of counting on outdated coaching information.
- AI-generated weblog posts can now be told by the most recent traits, somewhat 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 prime issues (Content material Advertising Institute, 2023).
Contently Perception
Contently AI is absolutely linked to the online, that means it might pull within the newest traits, information, and {industry} updates. Even higher, it may be linked 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 exchange human creativity—it’s right here to speed up content material manufacturing, enhance effectivity, and eradicate time-consuming duties.
How AI is being utilized in content material at present:
- Serving to brainstorm weblog subjects, 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 gained’t create thought management. It might probably solely remix current concepts, not generate new, expert-driven insights. That’s why the very best content material nonetheless comes from actual consultants who can problem traits, add private views, and create distinctive narratives.
An actual-world instance: Should you ask ChatGPT, “What’s the way forward for content material advertising and marketing?” it would predict traits based mostly on previous articles—nevertheless it gained’t have an authentic take like an {industry} knowledgeable would.
Contently Perception
With Contently AI, Writers and Managing Editors can use AI Content material Brokers to perform their purchasers’ duties sooner and at the next 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 a substitute 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 Substitute
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 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} traits with real-time net connectivity and entry to previous firm content material for deeper context.
- Scale content material manufacturing effectively whereas releasing 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 way in which.
AI isn’t writing your subsequent Pulitzer-winning article—not 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, based mostly on patterns it has seen earlier than.
Let’s break down how Massive Language Fashions (LLMs) truly work—with out the sci-fi hype.
(Observe: this publish 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 may generate articles, OpenAI educated it by feeding it a large 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 Occasions, Wikipedia, and hundreds of weblog posts to skim by.
However not like a human researcher, AI isn’t desirous 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 is going to acknowledge that phrases like “clutch efficiency,” “slim 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 include trillions of phrases—OpenAI’s GPT-4 mannequin is estimated to have been educated on over 15 trillion tokens (small chunks of textual content).
Contently Perception
At Contently, we take AI coaching a step additional. As a substitute 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 options align with expert-driven insights, somewhat 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 kind 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 possible 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.” (Widespread advertising and marketing phrase)
- “…experiencing main adjustments.” (Extra common however nonetheless affordable)
- “…dominated by search engine optimisation traits and viewers engagement.” (A bit spicier)
For this reason AI can sound impressively fluent—but in addition why it generally 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 court docket instances in a authorized temporary—as a result of ChatGPT made them up.
Contently Perception
AI-generated content material can solely be helpful 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 online, 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. Firms like OpenAI, Google, and Anthropic refine their fashions utilizing human suggestions.
How they do it:
- Including dialog guidelines: AI is educated 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 at all times 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: Should you ask ChatGPT, “How do I get round paywalls?” it gained’t offer you a solution as a result of it was educated to keep away from unethical content material. However for those who ask, “What are the very best 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 linked to the dwell net, that means their “data” 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 linked to the web, permitting them to retrieve the most recent information when vital.
An actual-world instance:
- Should you ask a contemporary AI, “What’s the most recent Instagram algorithm replace?” it might now pull in real-time data as an alternative of counting on outdated coaching information.
- AI-generated weblog posts can now be told by the most recent traits, somewhat 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 prime issues (Content material Advertising Institute, 2023).
Contently Perception
Contently AI is absolutely linked to the online, that means it might pull within the newest traits, information, and {industry} updates. Even higher, it may be linked 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 exchange human creativity—it’s right here to speed up content material manufacturing, enhance effectivity, and eradicate time-consuming duties.
How AI is being utilized in content material at present:
- Serving to brainstorm weblog subjects, 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 gained’t create thought management. It might probably solely remix current concepts, not generate new, expert-driven insights. That’s why the very best content material nonetheless comes from actual consultants who can problem traits, add private views, and create distinctive narratives.
An actual-world instance: Should you ask ChatGPT, “What’s the way forward for content material advertising and marketing?” it would predict traits based mostly on previous articles—nevertheless it gained’t have an authentic take like an {industry} knowledgeable would.
Contently Perception
With Contently AI, Writers and Managing Editors can use AI Content material Brokers to perform their purchasers’ duties sooner and at the next 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 a substitute 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 Substitute
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 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} traits with real-time net connectivity and entry to previous firm content material for deeper context.
- Scale content material manufacturing effectively whereas releasing 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 way in which.
AI isn’t writing your subsequent Pulitzer-winning article—not 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, based mostly on patterns it has seen earlier than.
Let’s break down how Massive Language Fashions (LLMs) truly work—with out the sci-fi hype.
(Observe: this publish 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 may generate articles, OpenAI educated it by feeding it a large 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 Occasions, Wikipedia, and hundreds of weblog posts to skim by.
However not like a human researcher, AI isn’t desirous 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 is going to acknowledge that phrases like “clutch efficiency,” “slim 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 include trillions of phrases—OpenAI’s GPT-4 mannequin is estimated to have been educated on over 15 trillion tokens (small chunks of textual content).
Contently Perception
At Contently, we take AI coaching a step additional. As a substitute 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 options align with expert-driven insights, somewhat 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 kind 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 possible 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.” (Widespread advertising and marketing phrase)
- “…experiencing main adjustments.” (Extra common however nonetheless affordable)
- “…dominated by search engine optimisation traits and viewers engagement.” (A bit spicier)
For this reason AI can sound impressively fluent—but in addition why it generally 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 court docket instances in a authorized temporary—as a result of ChatGPT made them up.
Contently Perception
AI-generated content material can solely be helpful 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 online, 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. Firms like OpenAI, Google, and Anthropic refine their fashions utilizing human suggestions.
How they do it:
- Including dialog guidelines: AI is educated 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 at all times 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: Should you ask ChatGPT, “How do I get round paywalls?” it gained’t offer you a solution as a result of it was educated to keep away from unethical content material. However for those who ask, “What are the very best 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 linked to the dwell net, that means their “data” 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 linked to the web, permitting them to retrieve the most recent information when vital.
An actual-world instance:
- Should you ask a contemporary AI, “What’s the most recent Instagram algorithm replace?” it might now pull in real-time data as an alternative of counting on outdated coaching information.
- AI-generated weblog posts can now be told by the most recent traits, somewhat 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 prime issues (Content material Advertising Institute, 2023).
Contently Perception
Contently AI is absolutely linked to the online, that means it might pull within the newest traits, information, and {industry} updates. Even higher, it may be linked 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 exchange human creativity—it’s right here to speed up content material manufacturing, enhance effectivity, and eradicate time-consuming duties.
How AI is being utilized in content material at present:
- Serving to brainstorm weblog subjects, 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 gained’t create thought management. It might probably solely remix current concepts, not generate new, expert-driven insights. That’s why the very best content material nonetheless comes from actual consultants who can problem traits, add private views, and create distinctive narratives.
An actual-world instance: Should you ask ChatGPT, “What’s the way forward for content material advertising and marketing?” it would predict traits based mostly on previous articles—nevertheless it gained’t have an authentic take like an {industry} knowledgeable would.
Contently Perception
With Contently AI, Writers and Managing Editors can use AI Content material Brokers to perform their purchasers’ duties sooner and at the next 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 a substitute 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 Substitute
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 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} traits with real-time net connectivity and entry to previous firm content material for deeper context.
- Scale content material manufacturing effectively whereas releasing 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 way in which.
