What is generative AI and how can creators use it in 2025

AI isn’t replacing creators — it’s giving them superpowers.

If you’re a creator, entrepreneur, or digital artist, you’ve probably seen AI-generated content everywhere — blog posts, YouTube scripts, video edits, even full-length films.

But what is Generative AI, and how can you actually use it to grow your personal brand and business?

Unlike traditional AI that analyzes data, generative AI creates new content such as text, images, videos, and music by learning patterns from existing data.

And in 2025, it’s more powerful, accessible, and game-changing than ever.

In this guide, you’ll learn:

• How Generative AI works (without the fluff).
• How creators are using it to 10x their output.
• The best generative AI tools for content, video, and monetization in 2025.

Plus, you’ll get insights from Armand Ruiz, IBM’s Director of Watson Generative AI, on where AI is headed next.

Let’s dive in.

🎨 What is generative AI?

Generative AI is changing the game for creators, entrepreneurs businesses, and developers alike. But how is it different from traditional AI?

Unlike traditional AI, which analyzes data and makes predictions, generative AI creates something entirely new — text, images, videos, music, and even human-like voices.

That’s why tools like ChatGPT, Midjourney, Sora, and ElevenLabs are exploding in popularity. They don’t just process information — they generate original content.

🤖 Generative AI vs traditional AI: What’s the difference?

To break it down, here’s a simple comparison:

Feature	Generative AI 🧠🎨	Traditional AI 📊🔍
Function	Creates new content (text, images, video, music)	Analyzes data, predicts outcomes, classifies information
Data Use	Learns patterns and generates new outputs	Uses existing rules to make decisions
Examples	ChatGPT, Midjourney, Sora, ElevenLabs, HeyGen	Netflix recommendations, fraud detection, spam filters
User Interaction	Dynamic, generates unique responses	Static, retrieves predefined answers
Best For	Content creation, automation, marketing, creative work	Data analysis, pattern recognition, process automation

To go even deeper, I spoke with Armand Ruiz, IBM’s Director of Watson Generative AI, on how this technology is reshaping business and content creation.

Watch our full conversation here:

How is generative AI used?

Generative AI is eliminating creative bottlenecks and making content production faster than ever.

Here’s why it’s super powerful:

• Faster content creation – Drafts text, generates images, and edits videos in minutes.
• Boosts productivity – Automates writing, design, and coding so you can focus on strategy.
• Enhances creativity – Helps brainstorm ideas, refine concepts, and produce high-quality work.
• Personalization at scale – Adapts content to different audiences instantly.

📈 Where is generative AI making an impact?

Generative AI is already revolutionizing industries:

• 📝 AI writing & chatbots → ChatGPT, Claude, Gemini, Grok (blogging, marketing, chat automation)
• 🎨 AI image generation → Midjourney, DALL·E (social media graphics, branding, product design)
• 🎬 AI video creation → Sora, Runway ML (editing, automated video content, storytelling)
• 🎵 AI music & voice → ElevenLabs, Suno AI (voice cloning, podcasting, AI-generated music)

And it’s only getting started.

⚙️ How does generative AI work?

Here’s how it works step by step:

1. Pre-training on massive datasets 📚

AI models are fed billions of text, images, videos, and audio files. These datasets come from books, websites, research papers, and other publicly available sources.

2. Pattern recognition and self-learning 🔍

Instead of memorizing data, AI models detect patterns, relationships, and underlying structures.

• Text models (LLMs) learn sentence structures, word associations, and writing styles.
• Image models recognize objects, textures, and artistic styles.
• Video and audio models understand timing, sequencing, and tone.

3. Fine-tuning for specific use cases 🎯

Once pre-trained, AI can be refined for specialized tasks. This happens through:

• Prompt engineering → Providing better instructions to guide AI output.
• Fine-tuning → Training AI on custom datasets for accuracy (e.g., brand-specific writing or product visuals).

4. Generating new content based on prompts ✨

When you enter a prompt, AI doesn’t just copy data — it predicts and generates the most likely next word, image pixel, or video frame based on its training.

Why does generative AI work so well?

The secret sauce behind generative AI is transformer models and diffusion models:

• Transformers (like GPT, Claude, Gemini, Grok) → Handle text, code, and chat by processing words in context.
• Diffusion models (like Midjourney, DALL·E) → Create images by refining random noise into structured visuals.
• Multimodal AI (like Sora, Runway ML) → Combines text, images, and video to generate highly realistic media.

Generative AI isn’t only about automation. It’s about expanding creativity, reducing production time, and making high-quality content more accessible than ever.

In this video interview with Conor Grennan, he breaks down how we should rethink our approach to generative AI — covering key challenges, opportunities, and what creators need to know moving forward:

📌 What is generative AI prompting?

A generative AI prompt tells the AI what to create, how to format it, and what details to include. Well-crafted prompts lead to higher-quality, more relevant outputs, while vague prompts produce generic results.

Example

Strong prompt: “Act as a marketing expert. Write a 500-word LinkedIn post on the future of AI in content creation, with key trends and actionable takeaways.”

Weak prompt: “Write about AI and marketing.”

A well-structured prompt provides clarity, context, and constraints, ensuring the AI generates content that aligns with your needs.

For expert-level generative AI prompts, check out the bonus section with advanced, high-converting prompts tailored for creators.

✨ Pros and cons of using Generative AI

Is generative AI worth it? Here’s the truth.

Generative AI is transforming content creation, but it’s not all upside.

It can boost productivity, automate tedious work, and unlock new creativity — but it also comes with risks like misinformation, lack of originality, and over-reliance.

Here’s a quick breakdown of the pros and cons so you can use AI strategically without falling into common traps.

Feature	Pros 🚀	Cons ⚠️
Speed & efficiency	Automates tasks like writing, editing, and coding in minutes.	Can produce low-quality or generic content without human input.
Scalability	Generates high-volume content at scale.	Over-reliance on AI can reduce originality and brand voice.
Creativity boost	AI helps with brainstorming, scripting, and idea generation.	Lacks deep human intuition, emotional storytelling, and critical thinking.
Cost reduction	Reduces costs for content creation, design, and video production.	High-end AI tools and API access can be expensive for long-term use.
Personalization	AI adapts content to different audiences and user preferences.	Without careful tuning, AI can create biased or irrelevant content.
SEO & search impact	AI-generated content can rank if well-optimized and human-edited.	Google prioritizes E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) over AI-only content.
Multimodal AI capabilities	AI can now generate text, images, voice, music, and even video.	Some AI outputs (especially video and voice) still have limitations in realism.
Legal & copyright issues	Some platforms offer legal protection for AI-generated content.	Copyright ownership of AI-generated content is still a legal gray area.
Security & privacy risks	AI can automate cybersecurity, fraud detection, and risk management.	AI models process massive datasets, raising concerns over privacy and sensitive data usage.
Misinformation risk	AI can analyze and fact-check large datasets.	AI can hallucinate (make up facts) or produce misleading content.
Job impact	Automates repetitive tasks, freeing up time for higher-level work.	Could disrupt creative industries and replace certain roles if not used strategically.

Advantages of using Generative AI

• Speeds up content creation – AI can generate text, images, and videos in minutes.
• Boosts creativity – Assists with brainstorming, refining ideas, and overcoming creative blocks.
• Automates repetitive tasks – Handles editing, formatting, research, and even coding.
• Personalization at scale – Adapts content for different audiences without extra effort.
• Cost-effective – Reduces the need for expensive design, writing, and video production.
• 24/7 productivity – AI never sleeps, making it ideal for continuous content output.
• Accessible to all creators – No need for advanced skills — just the right tools and prompts.
• Expands monetization opportunities – AI-generated eBooks, courses, faceless videos, and more.

Disadvantages of using Generative AI

• Lack of originality – AI pulls from existing data, so outputs can feel repetitive or generic.
• Misinformation risk – AI can confidently generate false information if not fact-checked.
• Over-reliance on AI – Can reduce critical thinking and personal creativity if used as a crutch.
• Legal & copyright issues – Unclear ownership of AI-generated content in some cases.
• Ethical concerns – Deepfakes, AI-generated spam, and manipulation are growing risks.
• Expensive at scale – Running advanced AI models or APIs can get costly.
• SEO & ranking challenges – AI-generated content without human input may not rank well.
• Data privacy risks – AI models may store or learn from user inputs.

⚡ How creators can use generative AI in 2025

Creators are using AI to produce high-quality content, automate workflows, and scale their businesses faster than ever.

Here’s how top creators are making the most of it:

✍️ AI writing & content creation

• Blogging & SEO → AI tools like ChatGPT, Claude, and Gemini help with keyword research, article drafting, and SEO optimization. (See Best AI Writing Tools)
• Social media & email → Jasper, Copy.ai, and Notion AI generate viral tweets, email sequences, and ad copy.
• Scriptwriting & storytelling → Syllaby.io generates faceless video scripts that are optimized for engagement.

💡 Pro Tip: AI can generate content, but creators who refine, personalize, and inject their own insights will always win.

🎨 AI image & design tools

• Graphic design → Canva, Adobe Firefly, Midjourney, DALL·E, generate custom visuals for branding and marketing.
• AI-powered editing → Photoshop AI and Canva Magic Studio automate image editing, resizing, and background removal.
• Thumbnail creation → Canva AI and Thumbnail AI generate click-worthy YouTube thumbnails in seconds.

💡 Pro Tip: AI-generated images work best when paired with human creativity—adjust colors, tweak details, and make them unique.

🎬 AI video creation & editing

• AI video generation → Sora, Runway ML, and Pika Labs turn text into full-length AI-generated videos.
• Faceless video creation → HeyGen and Synthesia create AI avatars and voiceovers for YouTube and TikTok.
• Automated video editing → Opus Clip and Descript turn long-form content into viral short-form videos.

💡 Pro Tip: AI videos skyrocket engagement—but human touch matters. Add emotion, pacing, and storytelling for better results.

🎵 AI music & voice generation

• AI voiceovers → ElevenLabs and Murf AI create realistic voices in multiple languages.
• Music creation → Suno AI and Soundraw compose background tracks for videos and podcasts.
• Multilingual content → HeyGen instantly translates and dub videos for a global audience.

💡 Pro Tip: AI voiceovers sound almost real, but tonality and pacing matter. Fine-tune them to match your brand’s personality.

📈 AI for business & monetization

• AI-powered content brands → AI is fueling entire businesses, from newsletters to YouTube automation.
• AI chatbots & automation → Custom GPTs, Chatbots, and ManyChat handle customer service, sales, and lead generation.
• AI for coaching & courses → Creators are using AI to automate course creation, sales funnels, and marketing.

💡 Pro Tip: The real money isn’t in AI-generated content—it’s in how you use AI to automate and scale your brand.

📊 AI for data analysis & insights

• AI-powered research → Tools like Perplexity AI and ChatGPT Enterprise summarize reports, analyze trends, and extract key insights from data.
• AI for audience analytics → SparkToro and ChatGPT plugins help creators analyze their audience’s interests, pain points, and behaviors.
• Automated market research → AI scrapes data from competitors, social media, and news to generate insights for content strategy.

💡 Pro Tip: AI can surface data, but real strategy comes from knowing what to do with it.

🛠 AI for workflow automation

• AI-powered task management → Zapier AI and Notion AI automate workflows and project management.
• AI email automation → GetResponse AI and ActiveCampaign personalize email sequences and segment audiences.
• AI-powered brainstorming → ChatGPT, Claude, and Gemini generate content outlines, marketing angles, and business ideas in seconds.

💡 Pro Tip: The biggest AI advantage? Time savings. If AI saves you 5-10 hours a week, that’s hundreds of hours per year to grow your brand.

🎙 AI for podcasts & live content

• AI podcast editing → Descript and Adobe Podcast AI clean up audio, remove filler words, and enhance sound quality.
• AI-generated show notes & timestamps → Castmagic and Melville AI summarize episodes and pull out key takeaways.
• Live streaming AI assistants → LiveReacting AI and OBS AI plugins generate real-time captions, overlays, and engagement prompts.

💡 Pro Tip: Podcasting is booming—AI helps you record once, repurpose everywhere.

🌍 AI for localization & global reach

• AI translation & dubbing → HeyGen, Rask AI, and DeepL AI translate and localize video and written content.
• AI subtitles & voiceovers → Captions.ai and ElevenLabs add multilingual subtitles and voiceovers instantly.
• AI-generated global SEO → AI rewrites content to match local search intent in different languages.

💡 Pro Tip: If you want global reach, AI translation tools make your content accessible to millions.

🛠 AI for workflow automation

• AI-powered task management – Tools like Notion AI and ClickUp AI help automate workflows, generate summaries, and streamline daily operations.
• AI-driven email marketing – Platforms like Beehiiv and ConvertKit are evolving with AI features for better audience segmentation and automation.
• AI-powered brainstorming – ChatGPT, Claude, and Gemini can generate content ideas, marketing angles, and business strategies to accelerate decision-making.

By integrating AI into your workflow, you can automate the repetitive, optimize efficiency, and focus on the creative work that actually matters.

🤖 The best generative AI tools for creators

Okay, so what generative AI tools should you use?

Here are some of my favorites creator tools:

Text & Copywriting

AI Art & Design

Video & animation

Audio & Voice

📚 Best generative AI resources

coming soon

⛔️ Common generative AI mistakes creators are making

Even the best generative AI tools won’t help if you use them the wrong way.

Here are the biggest mistakes holding creators back:

• Relying too much on AI – If your content is 100% AI-generated, it’ll sound robotic and generic. AI should enhance your work, not replace your creativity.
• Not fact-checking AI output – AI models make mistakes. If you don’t verify sources, you risk spreading misinformation (and losing credibility fast).
• Forgetting originality – AI can generate content, but your unique insights and experiences are what make it valuable. Add your own voice, stories, and expertise.
• Over-optimizing for SEO – Stuffing keywords and publishing AI-generated articles without real value? Google will catch it — and your rankings will tank.
• Ignoring AI customization – Many tools let you train or fine-tune AI on your brand’s style and audience. If you’re just using default settings, you’re missing out.
• Not leveraging AI for repurposing – AI can turn one piece of content into multiple formats (blog → video → newsletter). If you’re not using it this way, you’re leaving growth on the table.
• Using the wrong AI tool for the job – ChatGPT isn’t great for video. Midjourney won’t write your sales copy. Pick the right AI for what you need.
• Skipping human editing – AI can generate fast, but human editing makes it great. Always refine and tweak AI outputs to match your brand’s voice
• Ignoring AI trends & updates – AI evolves fast. Sticking to outdated models or ignoring new tools means you’re falling behind.
• Not experimenting with better prompts – A weak prompt = weak output. Learn prompt engineering to get the best results.
• Not thinking about AI ethics – Using AI-generated content without disclosing it or checking for bias can damage your reputation.
• Overusing AI-generated voice & avatars – AI voices and avatars are great, but overusing them can make your brand feel inauthentic.

🔍 Generative AI in 2025: What’s new?

AI isn’t just evolving — it’s changing how creators work. In 2025, generative AI is faster, smarter, and more integrated than ever.

1. AI-generated video is going mainstream

• Sora, Runway ML, and Pika Labs are pushing AI-generated video to pro-level quality.
• HeyGen is making AI avatars and voice cloning ultra-realistic, letting creators scale content in any language.
• Syllaby.io is an AI-powered platform designed for faceless video creation, helping creators generate scripts, produce high-quality videos, and streamline content production — all without needing to be on camera.

2. AI agents are handling entire workflows

• AI isn’t just generating content — it’s executing tasks, researching, and automating marketing.
• No-code AI tools allow creators to delegate work to AI-powered assistants.
• Expect AI-driven content research, planning, and social scheduling to become standard.

3. AI content detection is getting smarter

• Google and OpenAI are improving AI-generated content detection — poorly optimized AI spam is getting penalized.
• AI-assisted content that is edited, refined, and personalized is still ranking well.
• The key? Use AI as a tool, not a replacement.

4. AI personalization is next level

• AI adapts content based on a user’s past interactions, making content hyper-personalized.
• AI-generated coaching, interactive learning, and adaptive content recommendations are now a reality.
• Brands are leveraging AI to deliver personalized marketing and user experiences at scale.

5. AI copyright, ethics, and regulations are tightening

• Lawsuits over AI-generated content and training data are shaping new regulations.
• Platforms are introducing AI watermarking and transparency policies.
• Ethical AI use is becoming a competitive advantage for creators and businesses.

The bottom line is that generative AI in 2025 is faster, more capable, and more embedded in everyday tools. But AI alone isn’t enough.

The best creators are leveraging AI to scale their content while keeping their unique voice.

🚀 The future of generative AI for creators

AI is moving fast — and it’s about to get even crazier.

Here’s what’s coming next — and how smart creators will use it to win.

1. AI video will be instant and everywhere

• Text-to-video tools like OpenAI’s Sora are just the start. Soon, you’ll be able to create entire videos with a single prompt.
• AI dubbing & voice cloning will explode. YouTube and HeyGen are already leading the charge — expect every major platform to follow.
• What this means for you → Video creation will get 10x easier — but quality and originality will matter more than ever.

2. AI assistants will be your full-time team

• Right now, AI can help with writing, research, and planning. Soon, it will do entire workflows on autopilot.
• AI agents will schedule content, respond to comments, and track trends. Some will even post for you.
• What this means for you → The most successful creators will outsource the boring stuff to AI — and focus on building their brand.

3. AI content detection will be everywhere

• Google, YouTube, and social platforms are already adjusting their algorithms.
• Lazy AI-generated content will get penalized — but AI-assisted content will still rank.
• What this means for you → You can’t copy-paste AI content anymore. You need to edit, refine, and make it original.

4. AI will change creativity — but won’t replace it

• The best creators will use AI to enhance their work, not replace their ideas.
• AI will speed up the process, but originality, storytelling, and personality will matter more than ever.
• What this means for you → The future belongs to creators who blend AI with real expertise.

The bottom line is that AI is evolving super quickly, so it will be interesting to see where the future of generative AI does for the creator economy.

AI isn’t your competition — it’s your biggest advantage.

Creators who use AI strategically will dominate. Those who ignore it will get left behind.

🏆 Your 90-day Generative AI action plan

The goal? Master generative AI fast and integrate it into your creator business or content strategy to save time, scale, and make more money.

Each phase is structured for execution, not passive learning. By the end, AI won’t just be a tool — it will be part of your business growth strategy.

⚡️ Phase 1: Get hands-on with AI (week 1-4)

Goal: Understand what generative AI can do and start using it in real-world tasks.

Step 1: Pick your AI tool stack (week 1)

• Choose one AI writing tool (ChatGPT, Claude, RightBlogger, Vocable).
• Choose one AI video or image tool (Canva, Adobe Firefly, Descript, HeyGen).
• Choose one AI automation tool (Vocable AI, Make, Zapier).
• Key Move: Use AI to create and publish your first piece of content within 24 hours.

Step 2: Test AI for content & workflows (Week 2-3)

• Use AI to draft, rewrite, or refine a blog post, script, or email.
• Test AI for brainstorming, outlining, or summarization.
• Automate one repetitive task using AI (emails, research, scheduling).

🎯 Execution checkpoint:

• You’ve published one AI-enhanced content piece.
• You’ve saved at least 5 hours automating a business task

🔥 Phase 2: Build AI-powered systems (Week 5-8)

Goal: Move from testing AI to building AI systems that save time and scale your output.

Step 3: AI-powered content & marketing (Week 5-6)

• Use AI to generate SEO-optimized content in half the time.
• Experiment with AI scripts for short-form & faceless YouTube videos.
• Use AI to generate engaging social media posts, hooks, and ad copy.
• Start training AI on your brand voice for consistency.

Step 4: AI for branding & monetization (Week 7-8)

• Create an AI-generated lead magnet (ebook, free course, template, swipe file).
• Use tools like Coachvox AI to build an AI version of yourself that can answer questions, guide your audience, and free up your time.
• Experiment with HeyGen and ElevenLabs for AI-generated video & voice that keeps your personal brand authentic while automating content creation.
• Use AI for personalized email & DM outreach to potential clients or collaborations.
• Implement AI-powered chatbots for customer support or engagement.

🎯 Execution checkpoint:

• You’ve built one AI-powered lead generation system.
• You’ve used AI to increase engagement, outreach, or conversions.

💰 Phase 3: Scale with AI & monetize (week 9-12)

Goal: Use AI strategically to generate revenue, automate business processes, and scale content creation.

Step 5: Automate workflows & business systems (week 9-10)

• Build AI-assisted hiring workflows to find top freelancers.
• Use AI-enhanced outreach strategies (personalized emails & DMs).
• Automate data analysis & trend research with AI tools.

Step 6: Monetizing AI-generated content (Week 11-12)

• Launch an AI-assisted YouTube channel or podcast.
• Use AI to assist in course creation — research, outline, and draft materials — while adding your personal expertise and unique insights.
• Use AI to streamline digital product creation — Notion templates, toolkits, and resources— but always refine and enhance them with your own expertise.
• Use AI to scale paid advertising & conversion optimization.

🎯 Execution checkpoint:

• You’ve monetized an AI-powered content strategy.
• You’ve automated at least 3 major processes in your business.

🏆 Bonus: The 7-day AI mastery sprint (optional)

For those who want to fast-track AI mastery, this intensive sprint condenses everything into one powerful week.

The goal? Get hands-on with AI, automate key tasks, and start using AI to grow.

Day 1: Set up your AI stack & start using it

• Pick your AI writing tool (RightBlogger, Vocable, Claude, ChatGPT).
• Pick your AI content tool (Canva, Adobe Firefly, Descript, HeyGen).
• Pick your AI automation tool (Zapier, Make, SureTriggers).
• First action: Use AI to create and publish one piece of content today.

Day 2: AI-powered content creation & repurposing

• Draft a blog post, video script, or email using AI.
• Use AI to repurpose that content into multiple formats (social, video, podcast).
• Test AI-enhanced video tools (HeyGen for faceless videos, Descript for editing).

Day 3: Automate one major workflow

• Identify a repetitive task (emails, research, social media) and automate it.
• Use AI-powered email assistants (RightBlogger for outreach, Vocable AI for workflows).
• Set up one AI-based automation with Zapier, SureTriggers or Make.

Day 4: AI-enhanced branding & messaging

• Train AI to match your brand voice using RightBlogger, Vocable or Claude.
• Test AI-generated social hooks, headlines, and ad copy.
• Use AI for better audience insights (predict trends, analyze engagement).

Day 5: AI for lead generation & sales

• Use AI to personalize email and DM outreach.
• Set up an AI chatbot for customer support or lead nurturing.
• Explore AI-driven sales funnel optimization (ads, landing pages).

Day 6: AI for YouTube, podcasting & faceless content

• Test AI voice tools (ElevenLabs for voice cloning, Suno AI for music).
• Use HeyGen for AI avatars and video translation.
• Experiment with AI-generated podcast summaries & repurposing.

Day 7: Scale & monetize with AI-powered business strategies

• Implement AI for digital products (Notion templates, swipe files).
• Explore AI-enhanced course creation (AI-assisted research & structuring).
• Optimize AI-generated content for SEO, YouTube growth, and sales.

Results by day 7:

• You’ve built and published AI-powered content.
• You’ve optimized a key business workflow with AI.
• You’ve implemented AI-driven branding, lead generation, or monetization.

🎁 Bonus: Generative AI prompts for creators

These aren’t your basic “write a blog post about X” generative AI prompts.

These prompts are designed to optimize workflows, boost your creativity, and drive revenue.

How to use these generative AI prompts

• Copy and paste the prompts into ChatGPT, Claude, Grok, Gemini, or another AI tool (my favorites are RightBlogger and Vocable).

Adjust the inputs to match your brand, niche, and goals. For best results:

• Be specific (e.g., “Write in my brand voice” or “Focus on YouTube growth”).
• Give examples to guide AI responses.
• Refine outputs instead of taking them as-is.

Now, let’s dive into high-impact AI prompts tailored for creators.

❓FAQs about generative AI

Got questions about what Generative AI is and how you can use it to level up your creator business?

You’re not alone. Here are the most common questions creators ask about generative AI —answered in a clear, no-fluff way.

🏁 Next steps: How to get started with generative AI

Generative AI has changed how I run my online lifestyle business and create content — but only because I took the time to test, refine, and integrate it into my workflow.

The key isn’t just using AI. It’s knowing how to use it strategically.

Here’s how to get started today:

• Pick a tool – ChatGPT for writing, Midjourney for images, HeyGen for video.
• Experiment with prompts – The better your inputs, the better your results.
• Refine AI outputs – Edit, tweak, and add your personal touch.
• Use AI in your workflow – Automate tasks, create faster, and scale smarter.
• Stay updated – AI evolves fast. Keep learning, testing, and adapting.

I’ve been deep into AI since early on, and I can tell you this: creators who use AI smartly will be unstoppable.

What’s the first generative AI tool you’re going to try?

Leave a comment below and let me know.