Oleksandr Budik’s Post

Your AI system is lying to you. Most AI systems store "User said X, AI responded Y" in a conversation table. But users aren't just "sending messages"; they're asking questions, correcting responses, providing feedback, or escalating issues. Each has different business rules and training value. The AI insight: Every interaction is a rich command with context. "AskQuestion," "CorrectResponse," "ReportError"; not just "MessageSent." CQRS + Event Sourcing lets you: Optimize reads for real-time inference Capture full behavioral truth for training Replay conversations for model improvement Understand interaction patterns, not just final states Your recommendation engine needs "UserSearchedForGift" and "UserAbandonedCart"—not just "UserViewedProduct." Stop building AI on database thinking. Start building on behavioral truth. #AI #CQRS #MachineLearning

I found a cheat code for working with AI. Everyone talks about using automation and AI for efficiency, but I've learned that completely relying on it can sometimes backfire. I used to let the AI do the first pass on a document and I'd spend more time double-checking generic feedback than I would have by just doing the work myself. My process is different now. I do a thorough manual check first. Then, I give the AI my initial findings as a brief. This teaches the AI what to look for and helps it deliver specific, non-generic feedback. It's a complete game-changer. My time is used more efficiently, and the final result is far more accurate. The biggest lesson? A machine can't replace a careful eye, but it can absolutely supercharge it. #DataAccuracy #AI #Automation #DataIntegrity #Research

I enjoyed one of my regular digital detoxes last week, reading and writing to clear my head. I noticed something funny during the trip though. Many of the pictures I took contained digital artifacts, like the weird halo around my head in the photo below. These kinds of things happen, obviously. No big deal, right? Well, I think there’s something far more interesting going on here. Because, while these artifacts are common in HDR photos, increasingly, they occur (and, sometimes get automatically eliminated) because of machine learning and other AI capabilities built into the camera’s software. I didn’t have to do anything to make this happen. It simply exists, in the background, ready to do its thing. That’s the funny thing about AI — and about technology more generally. At first, it’s all “Wow! Look at this cool new thing.” But, over time, technology fades into the background. It simply exists, in the background, ready to do its thing. Increasingly, you and your customers are “using AI,” whether you realize it or not. Increasingly, AI’s capabilities will fade into the background. It will just do its thing. What matters then is not “How do I write the correct prompt?” or “How do I show up in AI answers?” It’s “How do I take care of my customers? How do I make sure I’m meeting their needs?” And I’m increasingly convinced that “what matters then” is the same as “what matters NOW.” Yes, learn about AI. Yes, learn how to use it to work more effectively and more efficiently. But, while you’re doing that, don’t lose sight of your customers. Because, ultimately, we know that the technology will fade into the background. Taking care of your customers ensures that the same won’t happen to you. #AI #marketingstrategy #DigitalReset #digitalstrategy

✍️ Prompt Engineering = the skill of crafting smarter inputs to unlock better AI outputs. Think of it like giving clear instructions: the sharper your prompt, the better the result. Example: Instead of “Write about AI” → try “Explain AI to a 10-year-old in 3 bullet points.” Mastering this skill is essential in today’s AI-powered world — it’s how we refine model behavior and get results that actually work for us. 🚀We’re breaking down AI terms one week at a time — simple, practical, and jargon-free. ✨ Follow for more #AIForBeginners#EmpowHERinAI #PromptEngineering #AIExplained #WomenInTech #GlossarySeries #AIEducation

When a CTO once looked me in the eye and asked, “Why do we need human testers when GPT can generate test cases in seconds?”  I knew I was facing more than just a question. It was a challenge. Instead of fighting the AI wave, I chose to ride it. I brought AI into my testing process, using it to generate test data, summarize defect logs, and even draft exploratory prompts. The results were fascinating: ⚡ AI delivered speed and efficiency. ⚠️ But it also misunderstood context, misjudged priorities, and even invented bugs that didn’t exist. What I learned is this: the true value of a tester isn’t speed or scale, it’s the ability to ask meaningful questions. Questions that AI cannot understand or imagine. That’s the story I’ll be sharing in my upcoming session: 👉 AI Took My Job, So I Took Its Seat at the Table Together, we’ll explore how testers can stop fearing AI and start leading with it. 📅 Join me here: https://lnkd.in/eUhWxgsR #softwaretesting #softwareengineering #qualityengineering #ai #webinar #brijeshsays

I’ve been watching how teams use AI lately, and one thing is clear: it doesn’t get tired, it doesn’t get distracted, and it doesn’t care about opinions. It just processes data and delivers patterns. Some observations: 1. AI can analyze data faster than any human team ever could. 2. It notices patterns and connections we often overlook. 3. As we rely on AI more, our decisions are increasingly shaped by its suggestions. The reality? Success isn’t about teaching AI to think like us. It’s about learning to work with the way AI thinks. Emotions, gut feelings, personal bias, they take a back seat. Efficiency and insight drive the next wave of results. #AI #Automation #DataDriven #MachineLearning #DigitalTransformation #FutureOfWork

Most older AI models read text word by word—slow and limited. Transformers, the brains behind today’s LLMs, use an ingenious “attention” mechanism. This lets the model look at all words simultaneously, focusing on the most important parts in context. It’s like reading a whole paragraph and instantly catching the main ideas—making AI faster, smarter, and better at understanding your requests. This attention mechanism powers smarter chatbots and advanced content tools that can handle complex language tasks. Imagine the difference when your AI truly understands what your customer means. Ready to upgrade your tools with smarter AI? Reach out, and I’ll help you plan the first step. #TransformerModel #AttentionMechanism #AIInsights #BusinessGrowth

🔥 Five days is all it takes to put you ahead of 80% of professionals still guessing with AI. Most people either avoid AI completely or treat it like a glorified search engine. The result? They waste hours while others move faster, think clearer, and build systems that do the work for them. I just published a new article that shows you how 20 minutes a day for 5 days can transform the way you work with AI. Here’s a taste of what you’ll discover inside: 1️⃣ How to get AI to finally give you the exact answers you need 2️⃣ The shortcut to digesting complex information in minutes 3️⃣ A 3-step process that turns AI into your personal writing partner 4️⃣ A simple trick for turning chaos into clarity 5️⃣ The secret to building systems that save you hours every single week 💡 Takeaway: This isn’t about learning “tech.” It’s about building everyday skills that compound into more time, more clarity, and more confidence. 👉 Click the following link to read the full article: The 5-Day AI Advantage: Simple Skills That Put You Ahead https://lnkd.in/gDFyrX_P ❓Are you still struggling to get started with AI? Comment “Yes” if you are, “No, but I need to get better” if you are already using it, or “Dude, I got this.” #AI #Productivity #FutureOfWork #CareerGrowth #ArtificialIntelligence #USAII United States Artificial Intelligence Institute Shared Synergy

The biggest change in how I work with AI is that I spend far more time preparing and far less time doing. Here’s what I mean: The output with AI takes seconds but that used to be most of the work. Now, the real effort is done upfront: research, context, & clarity. My personal process looks like this: 1/ I “brain dump” ideas by talking them through. Not for anyone else’s ears (trust me!), just to get everything out of my head. 2/ I take the transcript and feed it into a prompt-engineering project I’ve built. That project designs the best possible prompt for the task at hand. 3/ With the new, polished prompt, I start fresh with AI & the results are dramatically better. 4/ If it’s something I’ll repeat, I save the whole process as a project, so next time it takes minutes, not hours. It’s flipped how I work. The preparation feels heavy once, but it pays off every single time after. If you’d like me to share some of these prompts and projects, drop me a comment or DM. Let’s make some AI magic. #ScreensThatCommunicate #AI #Productivity #Leadership #FutureOfWork