AI MAXXING: The Agent Era
🤖 Most people still use AI one conversation at a time: a prompt, an answer, a new tab. That can be useful. But it is not yet a system.
💡 The real opportunity is not adopting more AI tools or chasing every new “agent.” It is learning to see your work clearly:
❓ What is repetitive enough to automate?
❓ What needs to remain human?
❓ Where would AI create real leverage rather than more complexity?
❓ And when do you need a simple workflow versus an agentic system?
⚙️ AI agents can plan tasks, use tools, connect to data, and carry work across multiple steps. But the goal is not automation for its own sake.
The goal is to build systems that extend your judgment, protect your attention, and help your team move faster without losing its edge.
🚀 AI Maxxing is not using the most AI. It is using the right amount of AI, in the right places, with you still in control.
❌ No jargon. No hype. No 47-step framework.
✨ This session is a practical introduction to AI strategy, workflow design, and agent orchestration — for people who want to move beyond chatbots and start building AI systems that earn their place in the work.
WHAT HAPPENS IN THE ROOM
⏳ 30 min — Main Talk: What Should You Automate?
Adrian Avendano, author of Attention OS and builder of Agent-A, breaks down the shift from prompts to systems:
🔥 How to identify high-leverage automation opportunities
🔥 When a simple AI workflow is enough — and when an agent is actually useful
🔥 How multi-model and tool-based systems work in practice
🔥 Open-source vs. closed AI tools: tradeoffs in cost, control, privacy, and capability
🔥 How to stay accountable for the decisions your systems make
🛠️ 15 min — Real AI Systems, Not Demos
2–3 founders, developers, or creatives share the AI workflows they actually use: what they automated, what still requires human judgment, what broke, and what proved worth keeping.
💬 15 min — Q&A + Connection
Bring a workflow, bottleneck, or AI idea you are considering. We will unpack what is realistic, what may be overkill, and where the leverage may be.
YOU'LL LEAVE WITH
✅ A practical way to identify which parts of your work are worth automating first
✅ A clearer distinction between chatbots, workflows, automations, and AI agents
✅ Three real examples of AI systems you can adapt to your own work
✅ A framework for choosing tools based on cost, control, and complexity — not hype
✅ Access to an open-source orchestration library for those ready to build more advanced agents
✅ A room of people thinking seriously about AI as infrastructure, not entertainment
🌍 HOSTED BY
Adrian Avendano who is a 17-year entrepreneur from NYC, coder, and the author of Attention OS. He has lived and worked in over 90 countries, founding five tech companies along the way.
Whether launching PeopleHunt (MacWorld Top 5) or scaling Global South Tech across 45 cities, Adrian’s work focuses on one critical challenge: How do we use AI without losing our autonomy? Currently based between Almaty and Bishkek, he is building the cognitive infrastructure that helps founders and developers defend their focus and stay sharp in the age of automation. 🇰🇿 🇰🇬
WHO THIS IS FOR
Founders, creative operators, developers, and teams using AI every day — especially those who are tired of tool overload and want to make better decisions about what to automate next.
You do not need to be technical. You only need to be close enough to a real workflow that you want to improve it.
📰 MEDIA
Built on 25 years of coding, 17 years as a bootstrapped entrepreneur, 10 years as a global nomad across 90+ countries, and the framework behind my book, Attention OS: Using AI to Defend Your Focus, Create More, and Think for Yourself.
👉 e27 Global Feature: https://e27.co/the-real-ai-threat-isnt-your-job-its-your-mind-20260603/
👉 Amazon Author Profile: https://www.amazon.com/author/adrianavendano
👉 Featured Podcast:
📍 MOST IT, Almaty
🎟 Free — limited spots