Hey Creators, I haven't been posting daily like usual because I am just hella busy these few days up until Christmas. Landed a new contract for the holidays and let me tell you...it has to be a better way. So, I haven't forgotten you all...just totally swamp. So, swamp I haven't even been down the AI rabbit hole! I'll be back online Sunday perhaps.

(my article posted in another community, figured I'd better share it here too!) AgentOps isn’t just another buzzword—it’s the new frontier where automation stops being brittle scripts and starts acting like living systems. Think of it as the operational backbone for autonomous AI agents: the folks who keep the gears turning, the policies enforced, and the workflows humming without chaos. Instead of static, rule‑based bots, we’re talking dynamic, context‑aware agents that can negotiate, adapt, and execute across enterprise systems. And someone has to wrangle them. That’s AgentOps: the “air traffic control” tower for fleets of autonomous AI workers. Big players—Salesforce, Microsoft, IBM, Oracle—are already rolling out agent platforms and waving the AgentOps banner. Translation: this isn’t fringe anymore. It’s becoming a strategic priority, and the demand curve is only pointing up. --- 🧰 What You Need in Your Toolkit 1️⃣ Foundations First - 📚 Computer science, software engineering, data science basics - 🔑 Algorithms, data structures, lifecycle thinking - 🤖 Bonus: AI/ML, NLP, reinforcement learning 2️⃣ Technical Muscle - 🛠️ Platforms: IBM watsonx, Microsoft Power Platform, Salesforce AI, Oracle Fusion AI - 💻 Languages: Python, Java, JavaScript - ☁️ Cloud fluency: AWS, Azure, GCP 3️⃣ Ops + Analytics Mindset - 🔍 Monitoring, debugging, troubleshooting distributed workflows - ⚙️ Hybrid automation: RPA + AI orchestration - 🛡️ Governance & compliance awareness 4️⃣ Credentials & Badges - 🎓 Degrees in CS, IT, or data science - 📜 Certifications in AI, ML, cloud, RPA - 🏅 Vendor‑specific training (IBM AgentOps certs, etc.) 5️⃣ Human Skills (Still Matter) - 🧩 Problem‑solving & critical thinking - 🗣️ Communication across devs, data scientists, stakeholders - 🔄 Adaptability in fast‑mutating tech stacks --- 🌍 Why This Matters Enterprises are pouring billions into AI agents. Someone has to design, deploy, and manage them responsibly. That “someone” is the AgentOps specialist.

I hope everyone in the US is having a wonderful Thanksgiving despite the origins of how this holiday came to be.