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5 ChatGPT Prompts To Write LinkedIn Comments That Are Actually Good

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By Jodie Cook,

Nobody cares about your generic LinkedIn comments. If you’re adding messages of cookie-cutter nonsense that scream “I used AI for this,” your well-intentioned engagement is actually hurting your reputation. Those comments read like everyone else’s and add zero value to the conversation. What if you could turn comments into a business growth tool instead?

Write comments that make people stop scrolling. Showcase your unique perspective and attract your dream clients. Here are the prompts to make that happen. Copy, paste and edit the square brackets in ChatGPT, and keep the same chat window open so the context carries through.

ChatGPT prompts for LinkedIn comments that actually stand out

Figure out your strongest beliefs

Most LinkedIn comments sound the same because most people think the same. They play it safe with vanilla statements nobody could disagree with. You post meaningless support that blends into the background noise. Your voice gets lost in the endless stream of “Great post!” and “Couldn’t agree more!” Take the below prompt and make better comments. Then personalise each one with another line.

“Help me create statements for LinkedIn comments that express my unique viewpoint. First, ask me questions about my core beliefs regarding [your industry/niche]. After each response, refine these into short, bold statements that would make compelling LinkedIn comment openers. Aim for statements that some might disagree with but that my ideal customers would strongly support. Make each statement direct, clear and under 15 words.”

Test your beliefs in a standalone post

You’ll never know what resonates until you put it out there. Writing comments with untested opinions is a waste of your valuable time. You might hit something with viral potential or you might miss completely. Most people never take the risk to find out what works. Test how comments are likely to perform by turning ideas into posts for your LinkedIn profile.

“Review the statements we just created together. Help me write a strong LinkedIn post testing these ideas with my network. Start with a powerful hook such as ’10 rules I live by in [my field]’ that creates curiosity. Then, list my statements in a numbered format. End with a call to action inviting people to share which ones they agree with, disagree with, or would add to the list. Write the entire post in my voice.”

Build a comment arsenal

One good comment isn’t enough. You need a stockpile of perspectives ready to deploy at the perfect moment. But building this (not to mention posting the ~20 daily comments that LinkedIn growth takes) takes hours you don’t have. Most business owners give up on commenting entirely when they realize the time investment required to do it right. Don’t let that be you.

“Take my core belief statement: ‘[Insert your strongest belief from previous exercise].’ Transform this into 10 different LinkedIn comments, each taking a slightly different angle on the same core idea. Each comment should start with the belief stated directly, then elaborate with a personal anecdote, practical example, or follow-up insight. Keep each comment under 100 words and maintain my natural speaking style.”

Create your target account list

Random commenting gets random results. Throwing generic thoughts on viral posts from strangers wastes your time. Spraying meaningless reactions across your feed does nothing for your business. Your limited attention deserves strategic direction. With the right tactics at the ready, your VA can run this system.

“Help me create a tactical plan for LinkedIn commenting. Ask me questions about my business goals, ideal clients, and industry thought leaders. Based on my answers, help me develop a list of 20 LinkedIn profiles I should engage with regularly. For each account type, suggest what content I should look for and which of my core beliefs would resonate most with their audience. Create a simple system for tracking my commenting activity and results.”

Make it personal

Copy-paste commenting is obvious and ineffective. Everyone can spot when you’re dropping the same thoughts everywhere. Generic beliefs without context feel jarring and out of place. Your brilliance gets lost when it’s not tailored to the conversation at hand.

“I want to customize my belief-based comments for specific posts. First, ask me to share an example LinkedIn post I want to comment on (I’ll paste the text). Analyse the post’s main message. Then, help me craft a comment that opens with my relevant belief statement and continues with 2-3 sentences that directly reference something specific from their post. End with either a thoughtful question or an additional resource that adds value. Make the comment feel personalized without being lengthy. [Optional: include a typo or something that breaks conventional grammar rules]”

Create LinkedIn comments that win clients and build your brand

Stop contributing to the LinkedIn noise. Start making comments people actually thank you for. Find your strongest beliefs that resonate with your dream audience. Test them openly, build your arsenal of perspectives, and target them strategically. Add personal touches that show you’re paying attention.

The best LinkedIn comments attract the right people to your profile. They start conversations that lead to connections and relationships that turn into business. Make your comments the reason someone reaches out today.

Feature Image Credit: Getty

By Jodie Cook,

Find Jodie Cook on LinkedIn. Visit Jodie’s website.

Sourced from Forbes

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5 ChatGPT Prompts To Make Your Offer Irresistible To Customers

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By Jodie Cook

Potential buyers visit your website, check your LinkedIn, scan your content. Then they disappear. They choose someone else. Someone who connects with them instantly. Someone who matches their specific needs. What if you could figure out exactly what makes you irresistible to the clients you want most?

Most business owners overlook the reasons clients buy. But that information holds clues and ChatGPT can help. Copy, paste and edit the square brackets in ChatGPT, and keep the same chat window open so the context carries through.

How to make clients buy: ChatGPT prompts for unmistakable attraction

Understand why people buy

People buy based on feelings while logic justifies their decision afterwards. This fundamental truth applies to your prospects. They scan for someone who gets them. Someone they trust to solve their specific issues. Someone whose approach aligns with their vision. Before you can influence them, you need to know exactly what drives their decisions.

“Your task is to help me understand why my ideal clients really buy from businesses like mine. Using what you know about what I sell and who my dream clients are, analyse the deeper emotional and psychological needs driving these purchases. If required, ask questions to find information you don’t have. For each need, help me identify the real desires underneath. Create a table with three columns: ‘Surface benefit’, ‘Real motivation’, and ‘Strategic positioning’. Include at least 5 rows covering different aspects of why people would choose my service.”

Decode your dream customer

Business owners have vague ideas about the demographics or job titles of their dream client. That approach fails every time. You need to get inside their head. Know their fears. Understand their ambitions. Figure out what keeps them up at night. Speak directly to these concerns. That way, your work becomes impossible to ignore. Your messaging hits harder. Your offers feel custom-made for them.

“Guide me through creating a comprehensive ideal client profile that goes beyond basic demographics. Ask me questions about my most successful client relationships, one by one. For each question, dig deeper into what made these clients perfect fits. After our discussion, create a detailed profile that includes: their biggest fears, core desires, daily frustrations, values and beliefs, and specific language they use to describe their problems. End with three exact phrases I should use in my marketing to instantly connect with them.”

Uncover your magnetic elements

Your biggest advantages remain invisible to you. Your background. Your approach. Your process. The way you think. ChatGPT has been learning about you through all your previous conversations. It can spot patterns you miss. The unique combination of traits that sets you apart. Use this prompt for a deep analysis.

“Based on what you know about me through our previous conversations about [my business, content, and approach], what makes my work unique or magnetic? Analyse my approach, background, and communication style. Identify 5 specific elements that could attract clients to my business that I might be overlooking. For each element, explain why it matters to potential clients and how I could highlight it more effectively in my marketing.”

Master your communication style

Your words create connection or distance. The phrases that stick. The stories that resonate. The explanations that click. Every message carries an opportunity. Winners identify the language patterns that work for them. They use these patterns consistently to build recognition and trust. Find your authentic voice. The one that commands instant attention.

“Help me identify my most effective communication patterns. I’ll share examples of my content that has performed well with my audience. Analyse these examples for common elements in my tone, structure, word choice, and storytelling approach. What specific aspects of my communication style seem to connect most with my audience? Create a brief style guide I can reference when creating new content, highlighting the 5 key elements that make my communication magnetic. [Include 2-3 examples of your social posts, articles, or emails that received strong engagement]”

Amplify your differences

Blending in kills business growth. Too many entrepreneurs follow industry standards. They use identical templates. Then they wonder why nobody remembers them. Your quirks are your superpowers. The elements that make you different make you memorable. You don’t need universal appeal. You need to become unforgettable to specific people. Start emphasizing your edges.

“Your task is to identify what makes me fundamentally different from others in my space. First, ask me about my industry and what others typically offer. Then, ask questions about my unique approach, background, or philosophy. After gathering this information, create a comparison chart showing standard industry practices versus my approach. For each difference, explain why this could be attractive to certain clients. End with three unique selling propositions I should emphasize in all my marketing materials.”

Make your work irresistible and draw dream clients to you

Understand the real reasons people buy to attract them in. Decode what your dream customers truly want. Uncover the unique elements that make your work stand out. Master the communication style that resonates with your audience. Big up the differences that make you unforgettable. Your magnetic qualities already exist. Now it’s time to find them.

Feature Image Credit: Getty

By Jodie Cook

LinkedIn. Visit Jodie’s website.

Sourced from Forbes

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ChatGPT Made Me Do It: Storytelling Mistakes To Avoid With AI

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By Yael Klass

I’ve seen marketers deliver pitch decks that read like they’ve been run through a meat grinder of SEO jargon, brand teams crafting tone-deaf social copy, and PR leads sending press releases that feel suspiciously like … they were born from a prompt.

We’re all guilty of it at some point. With the rise of generative AI (GenAI), especially tools like ChatGPT, it’s easy to fall into the trap of “good enough.”

But good storytelling is never just about stringing words together. It’s about resonance, rhythm and relevance. AI can support content creation, but only when you lead the narrative.

Here are the most common storytelling mistakes I see—and how to avoid them.

1. Mistaking Output For Insight

AI can generate sentences. Beautiful ones, even. But that doesn’t mean it understands why your story matters.

Great brand storytelling starts with human insight—something that touches on a tension, a truth or a transformation. If your copy sounds like it’s quoting a business textbook, it probably is.

Avoid it by: Starting with a core message before using AI. Prompt with purpose, not panic.

2. Forgetting The Brand Voice

Your brand is not vanilla. So why does your AI-generated content read like it was written for everyone and no one at the same time?

Avoid it by: Training your tools. Feed them your tone guidelines, values and actual examples of high-performing content. Don’t ask it to “write a blog post”; instead, ask it to “write a confident, witty LinkedIn post in the voice of a challenger brand targeting mid-market CMOs.”

3. Overusing The Same Clichés

Let me guess: You’re “redefining the future,” your product is “powered by innovation,” and your team is made up of “passionate experts.”

ChatGPT didn’t invent corporate clichés, but it sure has memorized a lot of them.

Avoid it by: Editing ruthlessly. Let AI give you a rough first draft, then cut, slash, rewrite and humanize. Swap tired phrases for honest ones.

4. Not Fact-Checking The Fiction

GenAI doesn’t know what’s true—it just knows what sounds true. In marketing, where credibility builds trust, that’s a huge risk.

I’ve seen press kits quoting articles that don’t exist and blog posts referencing outdated stats.

Avoid it by: Verifying every claim. If AI gives you a data point, source it. If it gives you a quote, Google it.

5. Losing The Narrative Arc

Stories need structure—a beginning, middle and end. Problem, tension, solution. Too often, AI-generated content jumps around like a caffeinated intern trying to impress every stakeholder at once.

The result? A muddled message that says a lot but lands nowhere.

Avoid it by: Mapping the arc before you write. What’s the hook? What pain point are you solving? Where’s the moment of clarity or transformation? Treat AI like a junior copywriter: It can help you fill in the blanks, but you still need to connect the dots.

6. Confusing Volume For Velocity

Yes, GenAI can crank out content at scale. But speed without strategy is just noise.

Churning out 20 mediocre LinkedIn posts might feel productive, but if they don’t reflect your brand’s POV or move your audience, what’s the point?

Avoid it by: Prioritizing clarity over quantity. Let AI handle the heavy lifting on first drafts, summaries or rewrites—but don’t publish without purpose. Focus on fewer, better pieces that align with your business goals.

A quick word of caution: While AI tools can dramatically speed up content creation, overusing them or using them poorly can backfire. Unoriginal, low-quality or overly “spammy” AI-generated content may trigger search engine penalties and hurt your chances of syndication or being invited to contribute elsewhere. When in doubt, quality and originality should always win out.

7. Skipping The Human Gut Check

AI doesn’t know your audience like you do. It can’t sense when something feels “off” or too slick or just … meh. That emotional intelligence? Still 100% human.

Avoid it by: Reading everything out loud and sharing drafts with real people. Ask yourself, “Would I read this? Would I believe this?” If it doesn’t move you, it won’t move anyone else, either.

Final Thoughts: Be The Pilot, Not The Passenger

ChatGPT is an incredible tool, but it’s not your brand’s voice, your company’s conscience or your customer’s confidence. That’s your job. Use AI to improve your craft, not replace it.

The best storytellers will use this technology to go faster but never shallower.

So the next time someone shrugs off flat messaging with a casual “ChatGPT made me do it,” remind them: AI might be your assistant, but it’s not your alibi.

Feature Image Credit: Getty

By Yael Klass

Yael Klass is the Vice President of Corporate Marketing at Similarweb. Read Yael Klass’ full executive profile here. Find Yael Klass on LinkedIn. Visit Yael’s website.

Sourced from Forbes

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OpenAI Rolls Out AI-Powered Shopping, Taking on Perplexity and Giants Like Amazon

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By Trishla Ostwal

People can find, compare, and click shoppable links on ChatGPT

OpenAI is taking aim at ecommerce.

The company is rolling out a new, AI-powered shopping experience within ChatGPT that lets people find, compare, and buy products. The feature shows visual details, pricing, and reviews of products with shoppable links to retailers like Walmart.

The updates are rolling out to ChatGPT’s Plus, Pro, and Free users.

According to OpenAI, product results are chosen independently and are not ads.

A spokesperson for OpenAI did not immediately respond to a request for more detail about the commerce feature.

 

The move comes as search has become one of ChatGPT’s fastest-growing features, generating more than one billion web searches in the past week, according to OpenAI.

OpenAI enters a competitive commerce world

OpenAI’s move pits it against rival Perplexity, which introduced a similar shopping experience last year. ChatGPT’s shopping feature also competes against ecommerce giants like Amazon and Google.

OpenAI, which is reportedly valued at $300 billion, has signalled an interest in advertising revenue as it moves towards a for-profit structure. For example, OpenAI has hired top ad talent, including former Coinbase CMO Kate Rouch.

OpenAI’s move closely mirrors Google and Meta’s moves into advertising, said Debra Aho Williamson, founder and chief analyst at Sonata Insights.

“We’ve seen this playbook before, including with Google and Facebook, where brands first made their organic presence and then the platforms turned towards advertising,” she said.

Feature Image Credit: OpenAI

By Trishla Ostwal

Trishla is an Adweek staff reporter covering tech policy.

Sourced from ADWEEK

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5 ChatGPT Prompts To Create Systems That Scale Your Business

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By Jodie Cook

Your business owns you.

You launched it dreaming of freedom but spend days extinguishing fires, fixing mistakes, and answering endless questions. Your company controls your life, not the other way around. What if you could flip this dynamic by tomorrow?

These prompts will transform your business with systems that scale, turning chaos into predictable success and giving you back your time. Copy, paste and edit the square brackets in ChatGPT, and keep the same chat window open so the context carries through.

Scale your business with ChatGPT: build systems that create freedom

Track what steals your energy

Founders waste precious hours on tasks they should have stopped doing months ago. They rush from problem to problem without fixing the root cause. You pour your energy into low-value work that drains you daily. Know exactly where your time goes before you can free it up. Numbers never lie. You have to listen to data.

“Help me identify my most time-consuming tasks. I’ll list 10 activities I do regularly in my business. For each one, analyse: (1) whether it requires my unique skills, (2) how much it drains my time and energy, (3) the impact on my business if automated, and (4) how difficult it would be to create a system for it. Then rank these tasks from highest to lowest priority for systemization, considering both time saved and value created. Create a detailed plan for systemizing the top 3 tasks.”

Document your perfect processes

I founded my social media agency in 2021 and sold it in 2021. The sale happened because I had systems for everything. Systems make everything repeatable. No one buys a business that needs its founder for every decision. Your future hinges on turning your knowledge into processes anyone can follow. No documentation means no delegation. No delegation means no growth. No growth means you stay stuck.

“I need to document a key business process that currently lives only in my head. Ask me a series of questions about this process, focusing on: (1) the exact steps from start to finish, (2) decision points and criteria used, (3) common problems and solutions, (4) tools and resources needed, and (5) how to measure success. After gathering this information, create a comprehensive yet simple standard operating procedure (SOP) that a new team member could follow without needing to ask me questions.”

Create your “Yes but not yet” list

The old way won’t work. You have to keep finding new ways. This doesn’t mean chasing every shiny idea immediately. Average founders jump at every opportunity that crosses their path. Their attention splits. Their focus breaks. Nothing gets done properly. But that’s not you. Get a system for managing your own ambition before it derails your progress.

“I need a system to manage new opportunities without getting distracted from current priorities. Help me design a ‘Yes but not yet’ list for capturing and evaluating ideas. Create: (1) a set of criteria for quickly assessing new opportunities, (2) a template for documenting each idea with just enough detail to revisit later, (3) a scoring system to prioritize the backlog ideas, and (4) a process for reviewing this list regularly without it becoming another obligation. Include specific questions I should ask for each new opportunity.”

Build your quality control checklist

You deliver awesome quality output. But not every time. This inconsistency costs you clients. You can’t stop until you find what works. Once you do, make it work every single time. Your customers expect excellence with every interaction and a simple quality control checklist prevents mistakes before they happen. Protect your reputation from damage.

“Create a quality control checklist for [describe your main product or service]. First, ask me to list the 5 most common quality issues my customers experience with my product/service. Then develop a comprehensive QC process that includes: (1) key inspection points throughout the workflow, (2) specific standards for each point, (3) a simple pass/fail system that anyone can use, (4) troubleshooting steps for common issues, and (5) a feedback loop for continuous improvement. The checklist should be detailed enough to catch problems but simple enough to use daily.”

Design your exit plan from day one

Stop plateauing. Start scaling. Every business should run as if it might be sold tomorrow. Even if selling never interests you, exit-ready systems build a company that functions without your constant input. Freedom means a business that grows while you sleep. But your whole team has to play. You can’t do it alone.

“Help me create a 12-month plan to make my business less dependent on me personally. Start by asking about areas where I’m currently a bottleneck. Then develop a detailed roadmap with quarterly goals for: (1) documenting key processes, (2) delegating core responsibilities, (3) creating decision-making frameworks for my team, (4) establishing performance metrics that don’t require my evaluation, and (5) identifying what unique value I should focus on once these systems are in place.”

Transform your business into a freedom machine: systems that work without you

Stop making excuses about why systems won’t work for your business. Start with one system today and see what you can make happen. Track where your time disappears. Document your perfect processes. Create your “Yes but not yet” list Build quality control checklists. Design your exit plan from the beginning.

Your systems become your legacy, turning your expertise into something that outlasts you. Anyone can win big. You just have to keep showing up, building systems that operate even when you don’t.

Feature Image Credit: Getty

By Jodie Cook

Sourced from Forbes

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This New, Creative AI Could Replace ChatGPT and It’s on Sale Now

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By StackCommerce Team (Sponsored)

Say goodbye to the limitations of the famous chatbot and hello to this tool designed for logos, art, articles, and more for only $65.

The following content is brought to you by PCMag partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. Deal pricing and availability are subject to change after the time of publication.

If you’ve hit your limit with ChatGPT—literally or creatively—it might be time to try something new. While ChatGPT and other fan favourites offer a lot, they also expect a lot from you. Endless prompt tweaking, usage caps, and vague outputs can turn creation into frustration.

That’s why AI Magicx is gaining attention: This all-in-one creative platform is packed with pre-built templates that make it easier to generate exactly what you need without trial and error. On StackSocial, you can grab lifetime access for $64.99 (Reg. $972) when you use code MAGIC35 at checkout for a limited time .

Rather than relying on a single, all-purpose text box, AI Magicx offers specialized tools for each creative task, including logos, art, articles, stories, chatbot conversations, code, and even branded documents. Choose your format, fill in the guided fields, and hit generate. You’ll get results tailored to your exact specifications—no cryptic prompts or back-and-forth required.

Your one-time purchase includes unlimited AI word generation and up to 500 images or logos per month, with no ongoing fees. That’s more than the average user would use, so don’t worry about about hitting your allowances.

This week only, use code MAGIC35 at checkout to get an AI Magicx lifetime subscription for $64.99 on StackSocial (Reg. $972).

Feature Image Credit: StackCommerce

Sourced from PC MAG

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ChatGPT Cheat Sheet: Genius Prompting Tips For Better Results! – Try And See The Difference!

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By Bilal Javed

Are you tired of getting mediocre responses from ChatGPT while others create magic with it? The frustration of writing prompts that lead to vague, off-target answers can be overwhelming.

Many users give up, thinking they’ll never master this powerful AI tool. But here’s the good news: With our genius prompting techniques, you’ll unlock ChatGPT’s full potential and transform your interactions into consistently amazing results.

We’ve gathered the most effective tricks and strategies that will elevate your prompting game from basic to brilliant. Let’s unlock the secrets to getting exactly what you want from ChatGPT.

1. AI CHIP TIME-SHARING NETWORKS

An innovative approach to democratizing AI computing power through collaborative resource sharing. This system would establish regional AI processing hubs where multiple businesses could schedule and utilize high-performance AI chips on a time-shared basis.

Small and medium enterprises could access expensive AI infrastructure without massive upfront investments. The network could implement dynamic pricing based on demand and processing requirements. Companies could trade or auction their unused time slots, creating a secondary market for AI computing resources.

This model could particularly benefit seasonal businesses with varying AI processing needs. The system could include redundancy across multiple locations to ensure reliability and failover capabilities. Advanced scheduling algorithms would optimize chip utilization and minimize downtime. Quality of service agreements would ensure fair access and performance standards for all participants.

2. EDGE AI WILDLIFE MONITORING

A distributed network of autonomous monitoring stations powered by renewable energy, utilizing edge AI for real-time wildlife protection. These stations would operate independently using advanced computer vision and acoustic analysis to identify species and detect unusual activities.

The system would use local processing to analyse animal behaviour patterns and identify potential threats without requiring constant connectivity. Solar-powered units would be equipped with long-term storage capabilities and efficient power management systems.

Machine learning models would be periodically updated during low-power periods to improve detection accuracy. The network could communicate with neighboring units to track animal movements across larger areas. Emergency alerts could be triggered for immediate response to critical situations like poaching attempts.

3. SLM-POWERED MEDICAL DEVICES

Integration of Small Language Models into medical devices for enhanced autonomous operation and patient care. These devices would process patient data locally, making immediate adjustments to treatment parameters based on real-time physiological changes.

The system would maintain a rolling analysis of patient patterns to predict and prevent potential health issues. Security measures would ensure data privacy while still allowing medical professionals to access critical information. The devices would use minimal power while maintaining continuous monitoring and adjustment capabilities.

Emergency protocols would be built in to handle critical situations without requiring external input. Regular model updates could be performed during routine medical checkups to improve performance. The system would maintain detailed logs of all adjustments and patient responses for medical review.

4. AGENTIC AI CITY PLANNING

Autonomous urban management systems that continuously optimize city operations through real-time data analysis and adjustment. The system would integrate data from multiple sources including traffic cameras, weather stations, and utility monitors to make informed decisions. Machine learning models would predict and respond to changing patterns in city usage throughout the day.

The platform would coordinate multiple city systems including traffic lights, public transportation, and power distribution. Emergency response protocols would be integrated to handle unexpected situations efficiently.

The system would learn from historical data to improve future planning and resource allocation. Environmental impact would be continuously monitored and factored into all decisions. Regular reports would be generated for city officials to review and adjust overall policies.

5. CROSS-COMPANY ENTERPRISE SEARCH SYNDICATES

A collaborative knowledge-sharing system that maintains privacy while leveraging collective intelligence across organizations. The platform would use advanced anonymization techniques to share valuable insights without exposing sensitive information.

Companies would define specific knowledge domains they’re willing to share and receive access to similar domains from other participants. AI algorithms would identify valuable patterns and insights across the combined knowledge base. The system would maintain strict access controls and audit trails for all information exchanges.

Regular value assessments would help companies understand the benefits of their participation. The platform would facilitate knowledge exchange while preventing competitive intelligence gathering. Automated content classification would ensure appropriate sharing boundaries are maintained.

6. AI CYBERSECURITY HONEYPOTS

Advanced decoy systems that actively engage with and analyse cyber threats using artificial intelligence. The honeypots would simulate realistic company environments to attract and study attack patterns. AI models would adapt the simulated environment based on attacker behavior to maintain believability.

The system would generate detailed threat intelligence reports for sharing with security communities. Real-time analysis would help identify new attack vectors and exploitation techniques. The platform would maintain a database of attack signatures and behavioral patterns.

Automated response systems would engage with attackers to gather maximum intelligence. The collected data would be used to improve security measures across participating organizations.

7. EDGE AI MENTAL HEALTH MONITORING

Personal devices that provide continuous, private mental health support through local AI processing. The system would analyze multiple data points including voice patterns, sleep quality, and activity levels. Privacy-focused design would ensure all sensitive data remains on the device.

The AI would learn individual baseline patterns to identify meaningful deviations. Regular wellness reports would be generated for personal review or sharing with healthcare providers.

The system would include proactive intervention suggestions based on detected patterns. Emergency support protocols would be activated if critical situations are detected. The platform would adapt to individual preferences and response patterns over time.

8. SLM-ENHANCED INDUSTRIAL EQUIPMENT

Manufacturing equipment with integrated Small Language Models for natural interaction and diagnostics. The systems would enable voice-controlled operation and maintenance procedures. Real-time problem diagnosis would reduce downtime and maintenance costs.

The equipment would maintain detailed operational logs with natural language descriptions. Integration with existing industrial systems would enhance overall factory intelligence. The models would learn from operational patterns to predict potential issues.

Voice interfaces would support multiple languages for international deployment. The system would include safety protocols and emergency voice commands.

9. AGENTIC AI LEGAL COMPLIANCE

Autonomous systems for maintaining regulatory compliance across multiple jurisdictions and industries. The platform would continuously monitor regulatory changes and assess their impact on operations. AI agents would suggest and implement compliance adjustments in real-time.

The system would maintain comprehensive audit trails of all compliance-related changes. Risk assessment algorithms would prioritize compliance actions based on potential impact. Regular compliance reports would be generated for management review.

The platform would integrate with existing business systems to ensure comprehensive coverage. Predictive analytics would help anticipate future regulatory changes.

10. HYBRID SEARCH ECOSYSTEMS

Integrated search platforms combining multiple data sources and AI models for comprehensive information retrieval. The system would automatically select the most appropriate search method based on query type. Different AI models would be deployed based on the specific requirements of each search domain.

The platform would maintain context awareness across multiple search sessions. Results would be presented in a unified interface while maintaining source attribution. The system would learn from user interactions to improve future search relevance.

Privacy controls would manage access to different information sources. Integration capabilities would allow for easy addition of new data sources.

TIPS FOR IMPLEMENTATION:

Start with small-scale pilot programs to test concepts
Focus on data privacy and security from the beginning
Ensure scalability in system design
Maintain human oversight and intervention capabilities
Regularly assess and update AI models
Document all processes and decisions thoroughly
Build in robust error handling and failover systems
Establish clear metrics for success measurement

FINAL THOUGHTS

These AI innovations represent a significant shift in how we approach complex problems across various industries. Success in implementing these systems will require careful balance between automation and human oversight. Organizations should focus on building foundational capabilities while maintaining flexibility for future adaptations.

The key to successful implementation lies in understanding both the technical capabilities and practical limitations of these systems. Regular assessment and adjustment of these systems will be crucial for long-term success. It’s important to maintain ethical considerations throughout the development and deployment process.

These technologies will continue to evolve, requiring organizations to stay adaptable and forward-thinking. The future of AI implementation will likely involve combinations of these approaches to create more comprehensive solutions.

This AI side hustle is specially curated for part-time hustlers and full-time entrepreneurs – you literally need PINTEREST + Canva + ChatGPT to make an extra $5K to $10K monthly with 4-6 hours of weekly work. It’s the most powerful system that’s working right now. This program comes with 3-months of 1:1 Support so there is almost 0.034% chances of failure! START YOUR JOURNEY NOW!

By Bilal Javed

Sourced from Corex Gaming

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ChatGPT, DeepSeek And The AI Race: Which Model Is Right For You In 2025?

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By Aytekin Tank

Just a week after launching its R1 artificial intelligence model, DeepSeek took the title for most downloaded free app in the United States. Curious about this new AI disruptor, I decided to test it against ChatGPT. I gave both models the same prompt:

“Can you please write an intro to an article comparing ChatGPT and DeepSeek? It should be conversational, punchy, and timely.”

The results were surprising. A regular ChatGPT user, I found myself leaning toward DeepSeek’s introduction. The headline alone felt slightly more compelling.

ChatGPT vs. DeepSeek: The AI Showdown You Didn’t Know You Needed

Versus ChatGPT’s:

ChatGPT vs. DeepSeek: Which AI Model Wins in 2024?

ChatGPT’s version was more straightforward but lost points for incorrectly stating ‘2024’—I ran this mini-test in early February 2025. DeepSeek, on the other hand, leaned into trendy jargon, yet its response felt like a headline I’d actually want to click.

No matter how you phrase the question, the answer is clear: their strengths are comparable and there is no AI winner yet. As CEO of Jotform, I’m always researching the latest AI tools and new ways to automate my busywork. Here are the relative strengths of the two AI models dominating today’s headlines.

Writing: Creativity vs. Precision

As of 2023, employees reported using ChatGPT primarily for writing, copywriting, and content creation—second only to coding. Generating creative, engaging content is one of ChatGPT’s strengths. What’s more, you can even train ChatGPT to write in your voice by sharing excerpts of your writing and guiding the LLM on which facets of your writing to channel. For example, if you want it to generate content reflecting your humour and wit, but not your more formal tone, a simple prompt is all you need. It’s truly impressive.

While DeepSeek isn’t a bad option for writing, I’ve found ChatGPT to have a bit more sophistication and finesse—the kind of writing you’d expect from a reputable lifestyle publication. It makes sense. While OpenAI trains ChatGPT using human feedback, DeepSeek relies solely on computer-driven reinforcement. This approach might give it an edge in technical subjects, but when it comes to areas requiring nuance and subjectivity—where answers aren’t black or white—it is less refined.

That said, if DeepSeek doesn’t always measure up on creative flair, it excels at technical writing. For example, if you need to generate coding documentation, scientific explanations, or data-driven reports, DeepSeek generates precise writing—and fast. Another advantage is that DeepSeek, unsurprisingly, has advanced Chinese-language writing skills, which can be an asset depending on your business needs.

Research: Synthesis vs. Rigor

Large language models can be powerful research tools, helping you identify and synthesize relevant information in an instant. It’s no secret, however, that tools like ChatGPT hallucinate sometimes—in other words, they make things up. Usually, this happens when the information you’re seeking is beyond its training scope. LLMs tend to be people pleasers—they’d rather generate a coherent response than admit they don’t know the answer to something. That’s why the cardinal rule of using LLMs for research is to always verify sources and locate the relevant information within them.

ChatGPT and DeepSeek have unique strengths when it comes to research. Being the more creative, nuanced idea synthesizer, ChatGPT is my choice for research tasks requiring interpretation or subjective reasoning. For example, if you want the LLM to locate a historical fact and explain its significance in a larger context.

To demonstrate, I used the following prompt with ChatGPT:

“Briefly, can you explain how the fall of the Roman Empire influenced modern governance? Please link to sources.”

It provided a comprehensive answer that stuck to the original question. It included direct links to sources after each paragraph. ChatGPT concluded, “In summary, the fall of the Roman Empire prompted a shift from centralized imperial rule to decentralized governance structures, laying foundational elements for contemporary political systems.” DeepSeek, on the other hand, offered an organized answer, broken down into four points. It did not, however, stick to the original question. For example, it provided insight into how Roman law (rather than the downfall) influenced the modern civil law system. Then, it listed a few sources—books like Edward Gibbon’s The History of the Decline and Fall of the Roman Empire. Don’t get me wrong, I love reading paperbacks, but for my daily research relating to work, I tend to stick to digital sources.

DeepSeek, however, might be a smart choice for objective data, structured computations, or technical accuracy. For instance, I asked both models to break down the Pythagorean theorem. Both models offered thorough answers, but DeepSeek included an illustrative visual representation. For users looking for clarity, precision, and supplemental visuals in their research, DeepSeek could offer a distinct advantage.

Idea Generation: Who’s the Better Brainstorming Partner?

When working with an LLM, it’s crucial not to delegate your creativity entirely. AI can be a powerful tool to kickstart ideas, expand your pool of possibilities, and handle the parts of the creative process you might not enjoy—like headline writing or social media captions. However, it’s important to maintain control. AI should free up time for your best thinking, not replace it.

With that in mind, both ChatGPT and DeepSeek have proven valuable for idea generation. Since ChatGPT is often associated with creative tasks, while DeepSeek has a reputation for more technical prowess, I tested both with the following prompt:

“Please generate a list of article ideas about the AI race.”

I wanted to see how each model would interpret the vagueness of the prompt—which “race” it would focus on (competition between models? Between countries?)—as well as how it handled the lack of criteria (e.g., SEO optimization, authoritative tone).

ChatGPT generated its reply a few seconds faster, but DeepSeek’s response was more in-depth—producing 24 ideas compared to ChatGPT’s 20, and organizing them into eight categories (e.g., “Cultural and Philosophical Perspectives” and “Ethical and Societal Implications”) versus ChatGPT’s four. Both models generated thoughtful ideas that reflected today’s narratives surrounding AI across multiple dimensions.

While ChatGPT’s suggestions were sophisticated and aligned with the current media landscape, DeepSeek remains a strong contender. If your work relies more on structured insights than imagination or creativity, DeepSeek could be a valuable addition to your toolkit.

Coding: A New Open-Source Power Player?

Investor and entrepreneur Marc Andreessen called DeepSeek R1 “one of the most amazing and impressive breakthroughs I’ve ever seen — and as open source, a profound gift to the world.”

So, what do developers think?

While it depends on the goal and situation, the consensus seems to be that DeepSeek’s R1 is a great option. Some are saying it’s the best model at the moment. At the very least, it’s the first open-source model to compete with the current juggernaut leaders like OpenAI and Google. For developers looking for transparency, flexibility, and high performance in their coding projects, DeepSeek’s open-source model is an excellent choice.

Models like ChatGPT and DeepSeek are evolving and becoming more sophisticated by the day. Meanwhile, new players like Alibaba Cloud, Zhipu, Moonshot AI, and ByteDance are entering the ring. For the average AI user, navigating this increasingly crowded market might feel overwhelming—but ultimately, more competition means better, more accessible tools. If DeepSeek’s arrival has proven anything, it’s that as AI advances, it also becomes more user-friendly. So experiment, explore, and stay tuned.

Feature Image Credit: GREG BAKER/AFP via Getty Images. AFP via Getty Images

By Aytekin Tank

Follow me on Twitter or LinkedIn. Check out my website. Contributor. Aytekin Tank is the founder and CEO of Jotform.

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This free European AI chatbot is 13 times faster than ChatGPT

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By Laura Pippig and Joel Lee

France-based AI chatbot Le Chat is currently the fastest of them all, and it can now generate images.

With all the news about ChatGPT, Copilot, and DeepSeek, you might think that the US and China are the two main players at the head of the AI pack, with everyone else lagging behind. But that’s not necessarily true.

Some European alternatives are making waves. For example, last week’s update for the France-based AI chatbot Le Chat integrated an image generator based on a German AI model from the company Black Forest Labs. That’s Franco-German collaboration par excellence.

According to Mistral, the company behind Le Chat, this AI chatbot is the fastest in the world, capable of generating up to 1,100 tokens per second. (That’s about 13 times faster than ChatGPT’s 85 tokens per second.) And not only does the AI respond quickly to prompts, it also draws on in-depth knowledge from a wide variety of sources for robust answers.

According to the update blog post, it’s now possible to generate photorealistic images using Le Chat. Fittingly, a prompt with a cat drinking tea was shown as an example.

Le Chat is a free app for Android and iOS, but you can also try out the AI tool directly in your browser. Apparently, the maximum permitted requests are limited at a certain point, at which point you’ll have to register. Later, you may even need to subscribe at $14.99 per month, but this is explicitly aimed at power users.

In general, the European chatbot makes a good impression. It responds quickly and precisely and can also explain complex issues. Le Chat could soon establish itself as an alternative to the current top dogs.

Feature Image Credit: Owlie Productions / Shutterstock.com

By Laura Pippig and Joel Lee

Sourced from PCWorld

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After Months of Stagnation, ChatGPT Is Booming Again

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By Alex Kantrowitz

OpenAI’s chatbot is surging after a period of sluggish growth. After DeepSeek, that’s never been more crucial.

chatgpt and competitors graph

The Gist

  • ChatGPT’s surge. After months of stagnation, ChatGPT hit 3.8 billion visits in January 2025, more than doubling its closest competitor.
  • GPT-4o and voice mode. OpenAI’s major update, including an advanced voice interface, fueled renewed interest in ChatGPT.
  • Competitive landscape. Despite DeepSeek’s rapid rise, ChatGPT maintains a massive lead over Bing, Gemini, Claude, and Perplexity.

ChatGPT is booming. After months of stagnant usage in early 2024, the chatbot hit an inflection point and is now far outpacing its competition, according to new data from analytics firm Similarweb (see above).

OpenAI’s flagship bot hit 3.8 billion visits on desktop and mobile web in January 2025, more than doubling Bing, its nearest competitor, and leaving Google’s Gemini, Anthropic’s Claude and Perplexity far behind. The traffic surge is a remarkable reversal for ChatGPT following a usage stagnation that lasted longer than a year. After reaching 1.9 billion visits in March 2023, ChatGPT didn’t surpass that number until May 2024.

“The first rush was about novelty, people trying it out. They do seem to have transitioned to where more people have found practical uses for the app,” David Carr, editor for insights news and research at SimilarWeb, told me.

Table of Contents

Why ChatGPT’s Growth Matters

The ChatGPT boom could not have arrived at a better time for OpenAI, which recently saw its AI models effectively equalled by the open source DeepSeek. The incident caused OpenAI CEO Sam Altman to admit the company was on the wrong side of history regarding open source and would maintain a smaller lead than it had previously. OpenAI’s application business is now far more important to its long-term success, and it’s delivering.

The inflection point for ChatGPT seems to have occurred just as OpenAI announced its GPT-4o update, which included an advanced voice mode. The new voice interface would be far more responsive and human sounding than anything on the market, and even a bit flirty.

Following OpenAI’s 4o presentation, Altman infamously tweeted “her,” a reference to a movie starring Scarlett Johansson where a human falls in love with an AI voice that she portrays. Johansson, who’d been approached by OpenAI but refused to collaborate, expressed outrage and threatened legal action following the announcement. It’s possible the publicity helped OpenAI more than it hurt.

Beyond voice mode, OpenAI has improved ChatGPT in several areas. It’s incorporated image generation with Dall-E directly in the bot, it’s released better models — including the o1 reasoning model that DeepSeek challenged — and it’s appeared to hallucinate less. The bot’s also been helped by continued public interest and a willingness among people to try different uses and not abandon it after disappointing results.

Don’t Rest, OpenAI. DeepSeek’s Coming

OpenAI shouldn’t get too comfortable though. DeepSeek’s recent surge surge challenged not only its models, but ChatGPT as well. On Tuesday, Jan. 28, at the height of the DeepSeek publicity wave, ChatGPT registered 139 million visits to DeepSeek’s 49 million, according to Similarweb. Almost overnight, DeepSeek built one third of the audience that ChatGPT took years to establish.

But OpenAI does have the leading AI brand in ChatGPT, something that should be useful as more people seek to engage with artificial intelligence. This past weekend, the company sought to burnish its brand by running its first Super Bowl ad. Google ran a lengthy Super Bowl ad for Gemini as well. If OpenAI can make ChatGPT into the “Coke” of AI, it stands to maintain a lead even if chatbots commoditize.

Can OpenAI Maintain Its Lead?

As for the rest of the pack, it’s not looking pretty. Compared to ChatGPT’s 3.8 billion visit in January, Bing received 1.8 billion, Gemini received only 267 million, Perplexity received 99.5 million and Anthropic’s Claude received 76.8 million. These are web-only numbers, but they’re directionally reliable. And they show OpenAI opening up a massive lead, with competition that isn’t really close.

Core Questions Around ChatGPT’s Growth

Editor’s note: Here are core questions around ChatGPT’s growth:

What drove ChatGPT’s recent surge in usage?

OpenAI’s release of GPT-4o, featuring improved reasoning, enhanced voice mode and better image generation, helped drive renewed interest in ChatGPT. Publicity from the Scarlett Johansson controversy may have also played a role.

How does ChatGPT compare to competitors?

ChatGPT recorded 3.8 billion visits in January 2025, more than double Bing’s traffic and far ahead of Google’s Gemini, Anthropic’s Claude, and Perplexity.

Could OpenAI lose its lead?

While ChatGPT remains dominant, DeepSeek’s rapid growth shows that challengers can quickly capture market share, highlighting the risk of commoditization in the chatbot space.

Feature Image Credit: Jason Dent

By Alex Kantrowitz

Alex Kantrowitz is a writer, author, journalist and on-air contributor for MSNBC. He has written for a number of publications, including The New Yorker, The New York Times, CMSWire and Wired, among others, where he covers the likes of Amazon, Apple, Facebook, Google, and Microsoft. Kantrowitz is the author of “Always Day One: How the Tech Titans Plan to Stay on Top Forever,” and founder of Big Technology. Kantrowitz began his career as a staff writer for BuzzFeed News and later worked as a senior technology reporter for BuzzFeed. Kantrowitz is a graduate of Cornell University, where he earned a Bachelor of Science degree in Industrial and Labor Relations. He currently resides in San Francisco, California. Connect with Alex Kantrowitz:

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