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AI is Consolidating. Here are the Top 20 most-used AI tools and models that dominate the current market: 1. ChatGPT / GPT-4o: The essential, all-in-one multimodal assistant. 2. Canva Magic Studio: AI-powered design and image editing for the masses. 3. DeepL: Leading the industry in high-quality machine translation. 4. Google Gemini: Google's integrated AI for search and workplace apps. 5. Grammarly: The gold standard for real-time writing assistance. 6. Microsoft Copilot: AI embedded across the M365 suite (Word, Excel, Teams). 7. Character.ai: Top platform for creating and interacting with AI personas. 8. Perplexity AI: The best AI tool for research with citable, sourced answers. 9. Midjourney: Still the benchmark for high-fidelity, artistic image generation. 10. Claude 3 Opus: Exceptional LLM for enterprise-level document analysis and reasoning. 11. ElevenLabs: The leader in generating human-like, emotional synthetic voices. 12. Suno / Udio: Driving the consumer trend for full, creative AI music generation. 13. Remini: Highly popular mobile app for AI photo and video enhancement. 14. Llama 3: The highest-performing, most popular open-source LLM. 15. GitHub Copilot: Essential AI tool for code completion and developer workflows. 16. Runway Gen-3: Setting the pace for high-quality AI video generation. 17. Descript: Revolutionizing editing by letting you edit video and audio like a text document. 18. Jasper / Copy.ai: Top platforms for scalable marketing and sales content generation. 19. Zapier / n8n: Critical tools for automating complex AI workflows across thousands of apps. 20. Otter.ai / Fireflies.ai: AI assistants that automatically transcribe and summarize all your meetings.

I gave another AI tool a spin. This time, it was Lovable. A platform where you build apps and websites… just by chatting with AI. Curious, I thought: What could it do with my portfolio? So I got strategic. I asked ChatGPT to generate a detailed prompt based on my current website, then handed it over to Lovable. And boom, seconds later, I had a fresh portfolio site mockup. Sure, it wasn’t perfect. It still needed tweaking, more prompts, and some good old manual edits. But it was impressive to see how far the AI could go. Here’s my big takeaway: With AI tools, your output is only as good as the quality of your prompts. AI won’t steal your job But those who can wield it well might. Have you tried Lovable yet? What’s your verdict? (P.S. Still trying to figure out how to add a picture to the case study card. One tutorial at a time.) #lovable #website #AI #productdesigner #uiuxdesigner

Most AI startups today aren’t companies. They’re features. And features become commodities in 12 months. We’ve seen this movie before. A shiny new AI tool goes viral, raises millions - and then gets swallowed the moment a larger LLM rolls out the same capability. Famous examples? 💀 Kite: coding autocomplete, killed once Copilot and GPT-4o arrived. 💀 Neeva: AI search engine shut down when Google and Microsoft integrated LLMs into default search. 💀 Jasper AI: early copywriting darling, now indistinguishable from ChatGPT prompts. 💀 Dozens of image filter & chatbot apps became obsolete as GPT apps commoditized the feature. Here are some of the warning signs I look out for as predictors of imminent obsolescence These are patterns I see that suggest a feature or company is “on the way out,” unless they pivot sharply: ↪️ Heavy dependence on external base models / APIs (OpenAI, etc.), which means the company does not own the core tech; subject to licensing, cost-shifts, or being outcompeted by the model provider itself. ↪️ High cost structure (manual labor, annotations, domain-specific engineering) with diminishing marginal returns as models improve. ↪️ Product that solves a problem that’s soon “good enough” via general-purpose AI (e.g. content generation, summarization, image stylization). ↪️ Low switching costs for users: if it’s easy for users to move to another tool (or use a new integrated feature), then price or minor UX improvements can kill. ↪️ Slow update cycles / inability to keep up with model improvements, benchmarks, reasoning, etc. When developers or users expect newer capabilities (tool calling, chain of thought, multimodal, etc.), general purpose models often leap ahead. 🤔 What's there next set of tools and companies that GPTs will add as a feature? I vote for presentation solutions.

Interesting breakdown of AI tools by use case 👇 But here's what I've learned building testRigor... Horizontal AI tools (ChatGPT, Gemini, etc.) = Jack of all trades Vertical AI tools (like testRigor for QA) = Master of one The real AI transformation isn't about having 4 different chatbots. It's about having purpose-built AI that deeply understands YOUR specific workflow. For QA teams, that means AI that can: >> Write tests in plain English (no coding) >> Understand UI elements without selectors >> Self-heal when applications change >> Run cross-browser tests automatically Generic AI can write you a test script. Specialized AI can actually run it, maintain it, and fix it when your app changes. Which specialized AI tools are transforming YOUR industry? Image credit: Denis Panjuta

### AI: The Swiss Army Knife for Marketers Think of AI as a Swiss Army knife for marketers. Much like a multi-tool that fits in your pocket, AI offers diverse capabilities packed into a single solution. ChatGPT or Claude might serve as the blade, helping you cut through content creation tasks with precision. Once, a client was bogged down with endless SEO writing. By using GPT-4, we produced well-optimized content faster than ever — like using the right blade to slice through challenges. AI agents are akin to the scissors, trimming inefficiencies in workflows. Automations act like the corkscrew, uncorking new opportunities by freeing up your time. The real magic? Knowing which tool to use when. Just as a Swiss Army knife can be overwhelming without the know-how, AI requires understanding and precision. Here's the takeaway: Familiarize yourself with each tool’s capacity. When you match AI’s capabilities to your marketing needs, you unlock a world of possibilities. What's your go-to function on this multi-tool? 🛠️🤔

SEO tools helped you rank on Google. But AI doesn’t care about backlinks or blue links. LLMs like ChatGPT, Claude, and Perplexity are now shaping how users discover brands, and most businesses have zero visibility in that layer. I tested 10+ tools. These are the Top 5 AI Visibility Trackers I’d trust in 2025: 🎯 Peec.ai — Think of it as “Search Console” for AI. See how LLMs interpret and retrieve your brand. 📊 AIcarma — Multi-engine dashboard tracking citations, hallucinations, and retrieval frequency. 🔍 SEMrush AI Mode Tracker — Tracks when your content appears in Google’s SGE + AI answer modules. 🧠 Profound AI — For deep prompt analysis and hidden citation opportunities. 📈 Hall AI — Lightweight tool for prompt suggestions and brand mention detection. ▶️ Full breakdown in my latest YouTube video: https://lnkd.in/exczHnqv

The AI industry just had one of its most significant weeks. Here's what you need to know: Three game-changing releases that signal where business technology is heading. OpenAI's Triple Launch: 1. ChatGPT Pulse Your AI now thinks about you whilst you sleep. Analyses your conversations overnight, delivers personalised insights each morning. Imagine starting each day with AI-curated intelligence specific to your interests and needs. 2. Sora 2 Video generation just became personal. Upload your likeness. Appear in AI-generated videos. Control distribution: private, friends-only, or public. The implications for marketing and content creation are staggering. 3. The Timing This all happened just before OpenAI's Developer Day. Expect more announcements imminently. Anthropic's Counter-Move: Imagination Real-time collaborative development with AI. Build apps whilst iterating with AI in tandem. Currently premium-tier only, but this is where development is heading. Your AI doesn't just write code - it develops alongside you. The Competitive Context: Google's responding with free Nano Banana access. The AI wars are intensifying. Winners? Businesses adopting these tools now. What this means for your business: Immediate opportunities: Personalised AI that learns your business patterns (Pulse) Scalable video content with your team's faces (Sora 2) Accelerated app development (Imagination) Free premium tools from companies fighting for market share The uncomfortable reality: These aren't incremental updates. These are paradigm shifts launching weekly. While competitors debate "if" they should adopt AI, the question has become "which AI tools to adopt today." Three strategic observations: AI is becoming personally adaptive, not just generally capable Content creation barriers have essentially disappeared Development speed is now limited by imagination, not technical skill At 21 Degrees, we're not just tracking these changes. We're implementing them in real-time. The pace is exhausting. It's also exhilarating. And it's only accelerating. Question for my network: Which development impacts your business most immediately? AI that remembers and thinks about your needs Appearing in AI-generated content AI as development partner Because all three are available today.

AI is changing the way people search for information. More and more often, it’s not classic Google search results, but Overviews, Chat GPT or Gemini that provide redady-made answers. For publishers, this means new rules for online visibility 📈 💡 User intent - AI is great at understanding why someone asks a question. Your content needs to deliver clear answers, not just on keywords. 💡Natural language and semantics - language models analyze context. Write the way your users speak, use long-tails, synonyms and related phrases. Tools like Writesonic can help you create content based on data and search trends to better match user intent. 💡AI-friendly structure - H2/H3 headings, bullet points and short paragraphs make it easier for algorithms to extract answers and increase your chances of appearing in AI snippets. 💡Technical optimization - loading speed, mobile-first design, schema markup and proper internal linking all influence how AI evaluates your website’s quality. 💡Constant monitoring and testing - AI algorithms change really fast, so to stay up to date with how users react to your content, Chatbeat works perfectly. It shows you how readers consume content and which sections attract their attention and additionally provides a list of websites that are important for a given keyword and additionally provides a list of websites that are important for a given keyword. 💡E-E-A-T - is the foundation of AI visibility, which pays special attention to experience, expertise, authoritativeness and trustworthiness. Content created by experts with proven knowledge and authority has a higher chance of being used in AI-generated answers, such as ChatGPT, Gemini or AI Overview. Why is this so important in affiliate marketing?  Boosting visibility increases organic traffic while keeping lead costs down. When your content appears in AI Overviews, you win more clicks, more trust and more revenue. Have you already checked whether your website appears in AI results?

Generative AI (like ChatGPT) is fundamentally changing the search experience. Google is shifting from its traditional 'link hunting' model to becoming a direct answer provider or 'Answer Engine' through 'AI Overviews' and 'AI Mode'. This change is not just technological; it's a massive organizational shift. Here's what businesses can learn: Content Strategy Shift: 🔄 SEO (Search Engine Optimization) alone is no longer enough; content must be structured to be easily quotable and a reliable source for Google's AI (AI Overview Optimization). Multimodal and Multi-Step Reasoning: 🧠 Future searches will be capable of answering more complex questions, using images, videos, personal data (if permitted), and multi-step reasoning. Advertising and Monetization: 💰 Advertisements will be integrated more subtly and contextually within AI-driven summaries. Organizational Change: 🚀 Companies need to adapt internally to the rapid pace of AI, as is evident from Google's 'AI turnaround'. #GoogleAI #AIOverview #ContentStrategy #AIinBangladesh #VerticalProgress #Monopoly #DigitalTransformation

Not all AI tools are built to be used the same way. Each has its own strength, and the real trick is knowing when to use what. Here’s my preferred AI stack that has stayed steady for the last few months now: ChatGPT – It's still the best all-rounder for almost everything. From drafting ideas to breaking down complex topics to creating custom GPTs and project folders, this remains my central workspace. Claude is a strong alternative. Pick one and make it your home base for general queries and creative work. NotebookLM – One of my all-time favorites. When it comes to deep dives into large documents, nothing compares. Its massive context window and synthesis ability make it perfect for munching through large documents, videos, and other content. An almost indispensable tool now. Gemini – My pick for long-form content. Its extended context handling helps maintain coherence across lengthy drafts and detailed analysis. Perplexity – The best for real-time research. It fetches reliable web results, cites sources, and goes on to summarize them neatly. Perfect for market scans or quick literature reviews. A strong balancing tool to ensure context stays relevant and accurate, and to fill in the capability void of the rest. Grok – My “uncensored” sounding board. It’s built to be bolder and more opinionated, ideal for exploring controversial or nuanced topics that need a fresh perspective. Leonardo AI – Still my favorite for image generation. The new update with Nano Banana has leveled it up significantly with a wider array of compositions and faster renders. Napkin AI – A design revolution. Its UX is fluid and intuitive, and it’s brilliant for structuring frameworks and creating decks that actually make sense. If you’re building ideas from scratch, this one’s a game-changer. Make.com – The backbone of AI agent workflows. It’s where everything connects, from triggering automations to orchestrating multi-agent systems. With Make, you realize how easily you can turn scattered AI tools into a single, intelligent system. There's a longer tail of tools I use and experiment with, but this core stack is the one I return to almost every day. Instead of chasing every new AI tool, it makes sense to build your own stack with each tool serving a clear role of research, creation, visualization, automation, or storytelling. Once you have that, you can start building upwards and keep experimenting.