AscentCore @AscentCore_tech

👉 Link: ascentcore.com/2026/04/07/the…

Here’s an interesting article by Cornel Stefanache (CTO) on something we see in modernisation projects: organisations that still have the knowledge, scattered across Confluence, Jira, Slack, and archived documents, 𝗯𝘂𝘁 𝗵𝗮𝘃𝗲 𝗹𝗼𝘀𝘁 𝘁𝗵𝗲 𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝘁𝗼 𝗻𝗮𝘃𝗶𝗴𝗮𝘁𝗲 𝗶𝘁. The knowledge isn’t gone. The context is. The article explores the shift from fragmented information to structured, evolving organisational memory. It’s not about storing more data. It’s about preserving meaning, context, and truth over time. If you’ve ever wondered why teams keep rediscovering the same decisions, this is worth a read. 👉 𝗟𝗶𝗻𝗸 𝗶𝗻 𝘁𝗵𝗲 𝗰𝗼𝗺𝗺𝗲𝗻𝘁𝘀! #AI #AgentMemory #TechLeadership

Here’s the GitHub link: github.com/ascentcore/cla…

At AscentCore, learning doesn’t stop at theory, it happens hands-on. 💻 Over the past few weeks, our CTO, Cornel Stefanache, led a series of internal sessions on #Claude Code, showing our colleagues how to move faster, think more clearly, and build better software. From breaking down complex tasks to building reusable skills and workflows, each session translated directly into sharper engineering practices. The takeaway is simple: tools like Claude don’t replace expertise, they amplify it. And when the whole team levels up together, the impact compounds quickly. 👉 We’ve also shared our learnings on @claudeai best practices on GitHub, because great insights are worth passing on. [Link in the comments] #AI #Claude #Engineering #AITools #Learning

keyboard_arrow_left Previous keyboard_arrow_right Next

𝗙𝘂𝗹𝗹 𝗮𝗿𝘁𝗶𝗰𝗹𝗲: ascentcore.com/2026/03/31/the…

𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗶𝘀 𝗿𝗮𝗰𝗶𝗻𝗴 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗯𝘂𝘁 𝘄𝗵𝗮𝘁 𝗶𝗳 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝗰𝗼𝘀𝘁 𝗶𝘀𝗻’𝘁 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘁𝗵𝗲𝗺, 𝗶𝘁'𝘀 𝘁𝗵𝗲𝗶𝗿 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴? Our CTO, Cornel Stefanache, breaks down the hidden “planning tax” behind AI agent features, where coordination and constant re-planning can turn a promising idea into an expensive distraction. 👉 There is also a built-in calculator to estimate how much these planning loops are actually costing you in tokens and dollars. It's a solid reality check if you are working on AI products or considering adding agent capabilities. ➡️ 𝗔𝗿𝘁𝗶𝗰𝗹𝗲 𝗹𝗶𝗻𝗸 𝗶𝗻 𝘁𝗵𝗲 𝗰𝗼𝗺𝗺𝗲𝗻𝘁𝘀. #AI #TechLeadership #AIEngineering #AIAgents

Balancing energy costs against raw performance is one of the hardest challenges in server management. We addressed this by developing a mathematical model that simulates power consumption behaviors under various VM loads. By feeding this simulation into a multi-objective optimization algorithm, we moved beyond simple bin-packing. We wanted to create a solution that offers a transparent trade-off rather than a black-box output. 👉  This is 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗔𝗜 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 in action, delivering measurable return on investment. If infrastructure costs are slowing your AI roadmap, send us a message. 📩 #AI #ROI #Tech #Engineering

🔗 ascentcore.com/2025/08/19/mul…

The future of AI isn’t just smarter, it’s more human. ✨ Read our latest article to discover how #MultimodalAI is reshaping the way machines understand our world, integrating text, images, audio, video, and even sensory data to deliver context, nuance, and empathy. 👉 By 2030, experts predict multimodal AI will dominate enterprise software. 🔗 Read more: [Link in comments]

AI solutions: ascentcore.com/ai/

The fastest path to #AI ROI isn’t building your own model, it’s making your existing tools work together. Want real results? Think less “custom model,” and more “connected system.” Full episode → link in the comments.

Full article: ascentcore.com/2025/07/31/ai-…

Is AI Ready for Media? Read our latest article and learn how media leaders are overcoming the toughest barriers to AI adoption in #Media: - Managing hallucinations & fact-checking - Cleaning messy legacy data - Ensuring LLM output reliability - Moving from pilots to production 👉 Full article -> Link in the comments section #AI #LLM #Challenges #Media

Harsh truth: You’re not OpenAI. Jonathan Rivers shares why media companies should stop trying to train their own models, and where the real value is instead. 🎥 Watch the full podcast to find out → ascentcore.com/media-podcast

Cornel Stafanache explains a common challenge we hear from customers: consistency at scale. When you're running #LLMs thousands or millions of times, even a small error rate becomes a massive trust issue. Our tools go beyond raw model access, we bake in best practices like chain of thought and automated response validation, so you get: ✅ More reliable outputs ✅ Clear markers of what can and can’t be trusted ✅ Deployment-ready infrastructure in 24 hours Watch the clip to learn how we help teams scale LLM use without compromising on trust. #LLM #AI #DataQuality #EnterpriseAI

📍#Eastern Europe is becoming a strong hub for #AI & #ML talent. Countries like Poland, Romania, and Ukraine offer skilled professionals at competitive rates—ideal for startups and companies seeking quality with cost-efficiency. Explore the global overview ⬇️ #TechBehemoths

@TechBehemoths True 🤝

What’s the future of #AI in media? 🤖 Jonathan Rivers breaks it down: 🟢 Unlocking creativity 🟢 Revolutionizing content distribution 🟢 Transforming data into powerful insights #AI it’s not about replacing humans, it’s about scaling ideas, reach, and impact. 🎧 Listen to the full podcast to discover why #distribution and #syndication are where AI will truly reshape the media industry. Full podcast → ascentcore.com/media-podcast #AI #Media #FutureOfMedia

🎧 Listen in → ascentcore.com/media-podcast #AI #LLM #Media

“My job as a #CTO in the media space is to get my customers the information they need in a manner they can consume it.” Jonathan Rivers shares how training an #LLM on decades of proprietary content unlocked real value. Whether for internal teams or end users, AI-powered solutions are transforming how information is accessed and consumed. 🎧 Full podcast → Link in the comments #AI #CTO #LLM #Media #Enterprise