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Get Hands-on Experience with the AI Tools Entrepreneurs Can't Ignore

How do you leverage AI in your business? Here's the answer... in one slide. Not too surprising from the founder and CEO of Airtable. If you want your business to leverage AI (which, let’s be honest, is a no-brainer at this point), it’s time to start using no-code tools like Airtable, Make, or Zapier. Here’s the reality check on most companies' AI usage: ❌ Using ChatGPT? Great start, but it won’t transform your workflow. ❌ Relying on AI features in SaaS tools like Zoom, HubSpot, or Slack? Helpful, but not a game-changer for core processes. 🟠 Building your own AI solutions (which a lot of AI consulting firms advise you to do)? I really hope this big project delivers. From what I’ve heard so far, these massive projects end up costing a fortune to build and maintain. And sometimes become obsolete by the next model release. Now, let’s introduce… no-code AI. No-code is the best way for your organisation to use AI: 🟢 Build AI solutions in hours or days, not months. 🟢 Seamlessly integrate AI into your existing processes. 🟢 Empower your team to create and iterate on their own AI tools. Chances are AI will drive massive no-code adoption in businesses. Or will no-code drive massive AI adoption? Big thanks to Howie and the Airtable team for this masterpiece!

AI is no longer a distant promise—it’s a transformative force reshaping industries today. From boosting productivity by 25% in some sectors to revolutionizing customer service, coding, and marketing, the potential of AI is undeniable. But here’s the challenge: many organizations lack a systematic approach to experimenting with and scaling AI adoption.

🚀 In the world of AI, the secret to getting accurate, relevant, and creative responses lies in how we frame our prompts. 🧠💡 Prompts are the instructions or queries we provide to AI systems like ChatGPT to guide them in generating outputs. Think of it as a conversation with a smart assistant — the clearer and more specific your prompt, the better the results. Here are a few prompt tips to help you unlock the full potential of AI:    Be Specific: Instead of asking, “Tell me about AI,” try asking, “How can AI help improve customer support in retail?” The more precise your request, the more relevant and tailored the response.    Set the Context: If you’re working on a project or problem, give the AI some background information. Example: “I’m working on a marketing campaign for a new SaaS product. What are some innovative ad copy ideas to attract early adopters?”    Use Roles or Personas: Want to brainstorm with an expert? You can ask AI to take on a persona, like, “Pretend you are a product manager in the tech industry. What features would you prioritize for a new project management tool?”    Break it Down: If the task is complex, break it into smaller prompts. For example, instead of asking for a full market analysis, ask for a list of top trends in the industry first, and then dive deeper.    Experiment and Iterate: Don’t hesitate to tweak your prompts. If the response isn't quite what you expected, adjust your question to be clearer or add more context. AI gets better with each prompt refinement! 💡 The takeaway: The better your prompts, the more you’ll get out of AI — whether it’s for content generation, problem-solving, or even coding. Let’s harness the power of AI by learning how to communicate with it more effectively. Ready to dive in? 👇 #AI #MachineLearning #Productivity #AIprompts #Innovation #TechTips #AIinBusiness #FutureOfWork

🚀 Thriving in the New Era of AI for Business 🚀 As AI continues to evolve, businesses are presented with unprecedented opportunities to innovate and grow. In a recent blog post, our CEO, Eric Newall, here at Stoneridge Software dives deep into how generative AI, like OpenAI's ChatGPT, is revolutionizing industries by enhancing customer service, streamlining content creation, and much more. Key insights from Eric's blog include: 🔹 10X Growth Mindset: Embrace a mindset that challenges incremental growth and leverages AI to achieve exponential advancements. 🔹 Flywheel Effect: Learn from successful examples like Amazon and Stoneridge Software, where small wins accumulate to drive sustained growth. 🔹 AI Integration Steps: Understand AI capabilities, assess risks, experiment with tools like Copilot, and develop a transformation plan to harness AI's full potential. By strategically integrating AI, businesses can amplify strengths, drive efficiencies, and unlock new growth avenues. For more insights and guidance on leveraging AI, check out Eric's full blog on the Stoneridge Software website. 🌟 #AI #BusinessGrowth #Innovation #StoneridgeSoftware https://lnkd.in/gBgQnWCw

🚀 AI is no longer the future—it’s TODAY. Every day, I come across a new tool or innovation that’s reshaping how we work, create, and live. The way AI is evolving? Mind-blowing. But here’s the catch: The real winners aren't the ones with access to AI tools, but the ones who know **how to use them better and faster.** Take ChatGPT, for example. It’s everywhere. Yet, there’s a massive gap between "using it" and "using it effectively." Ask yourself: 👉 Are you using AI to save 2 hours of your day? 👉 Is it making your sales pitch more persuasive? 👉 Are you automating tasks that used to drain your energy? Efficiency is the new currency—and AI is helping us mint more of it. With my marketing and AI automation startup, I see opportunities daily to combine **creativity** with **automation.** It's not about replacing people. It’s about giving them *superpowers!* How are YOU planning to leverage AI in the coming months? Drop a comment—I’d love to know. #AI #ArtificialIntelligence #Automation #Tech #StartupLife #MarketingTools #FutureIsNow

What does it take to make GenAI useful for Businesses? When I first started building GenAI products for businesses more than a year ago, I was driven by how impressive the GPT-3 model was at the time. It was a very typical solution-first approach at best. However, as I delved deeper into the journey, I realized the most important thing about AI for business isn't how advanced it is, but how useful it is. And to be useful, AI needs to be three things: reliable, affordable, and easy to use. This seems obvious, but it's not how most people think about AI at the moment. Most people get excited about new AI capabilities. But capabilities are only half the equation. We learned this lesson while building DearFlow. We were inspired by multi-agent frameworks like Autogen and CrewAI. These are impressive technologies, but we realized they weren't ready for business use, at least in the near future. Businesses need reliability above all. If you're automating a crucial business process, it can't fail. Ever. A fun demo is one thing. A system that runs your business is another. The surprising thing we discovered is that to make AI reliable, you often have to use less of it. Our typical AI workflow on DearFlow is only about 10-20% AI, the rest is ordinary software infrastructure. The other crucial factor is cost. AI doesn't just need to be cheaper than humans. It needs to be much cheaper. If it's close, businesses will choose humans every time. Humans are more flexible, can do multiple jobs, and contribute to company culture. An AI system needs to be so cheap that it's worth the hassle of setting it up. Finally, there's ease of use. Some people may disagree with me on this, especially the very technical ones who know it all, but I think it's no coincidence that all of the most popular AI tools now are chat interfaces. Yes, they can be inconvenient, not scalable, and not customizable, but the key is how easy it is to use a chat box. And that is enough for millions of people to use it daily. But chat interfaces have their flaws, and I’ve started to see many more apps move away from them to build a dedicated UI for specific use cases. This may not be very obvious now, but I believe when all the foundation models get “saturated”, the main differentiation between AI apps will be how easy and delightful they are to use. This is a very interesting topic, I may write more on this later! So, what do you think? What makes AI useful in your opinion? Let’s discuss! Image: Pawel Czerwinski

What does it take to make GenAI useful for Businesses?

Your competition isn’t innovating faster: they’re building smarter. And they’re using Ai to do it. If you’re still trying to reinvent the wheel, you’re already behind. Like many, I’ve been deep in the rabbit hole of upskilling myself on Ai over the past 12 months and I’ve been sharing my learnings with a founder I advise. They’ve been torn between two paths: - Build their own Ai solution from scratch - Leverage LLMs like ChatGPT The argument for building in-house is of course total control, customised outcomes, and the allure of proprietary tech. But here’s the reality: While they were calculating the costs, competitors were already scaling by building on existing LLMs. Why? Because speed and adaptability win every time. Here are some of the learnings I shared to help them and it might save you months of indecision: Start Small, Think Big Don’t invest millions in building an Ai solution you’re not sure will scale. Use existing LLMs to prototype fast, test functionality, and gather data. Focus on Differentiation, Not Duplication Your competitive edge isn’t in replicating the tech, it’s in how you tailor it to solve your unique problems. Build on existing Ai tools to develop specialised applications your competitors can’t replicate. Reallocate Resources to Core Business Every penny spent building redundant Ai is a dollar not spent on customer experience, product growth, or market expansion. Invest in areas where you can truly stand out. Iterate and Optimise Once you’ve scaled with existing Ai, revisit the question: Is it time to build something proprietary? By then, you’ll have the data and hopefully revenue to make the right call. In the current market, innovation isn’t about doing it all yourself, it's about doing what matters most, faster. But don't just take my word for it. Fortunately, i’ve met a few specialists that can help you along your journey if you're facing this dilemma Nicola Austin is one of them :)   Are you building on existing AI tools or starting from scratch? I’d love to hear insights! #ai #founder #LLM #Innovation