About this channel
Cole Medin's channel centres on building with AI coding agents and improving the workflows around them. Model use, code discovery, computer interaction and personal knowledge systems appear alongside…
Cole Medin's channel centres on building with AI coding agents and improving the workflows around them. Model use, code discovery, computer interaction and personal knowledge systems appear alongside questions about security and operating constraints. The material speaks to developers and technically curious builders who want to move from trying an agent to organising a more capable development process around it.
Tutorial-style videos and project walkthroughs tackle specific points of friction. One episode examines the tokens an agent spends locating code and presents that search process as something to improve. Another considers how to keep working when coding tools impose restrictive usage limits. Videos about Jev focus on practical applications for coding, while a Claude Code demonstration explores having an agent operate a computer. These subjects keep the emphasis on how tools are used within a task, including the effort and resources consumed along the way.
A second thread concerns larger systems. Material about evolving an AI second brain asks what comes after the first version of a personal knowledge setup. Episodes on AI software factories examine a more extensive approach to automated software work, while security-focused videos address giving coding agents access to real infrastructure. The combination makes the channel relevant to viewers interested in automation who also need to decide what an agent can safely operate. MCP development and a hackathon invitation add a project-oriented dimension. Across the selection, the recurring interest is in connecting individual capabilities into workflows that can handle more of the work, with attention to the practical limits and control questions that arise as those workflows expand.
Latest episode
Agentic Apps: How Big Companies Are Actually Deploying AI Agents
Pretty much every AI agent I've built for myself is one agent I chat with. That's great for my own work, but it's not how companies actually adopt AI a lot of the time. So in this video I go through…
Pretty much every AI agent I've built for myself is one agent I chat with. That's great for my own work, but it's not how companies actually adopt AI a lot of the time. So in this video I go through the lessons I end up teaching every company I work with, and how that takes shape as what Oracle calls agentic apps!
Multiple agents working toward one goal, AI only where you need judgment, rules turned into actual code with tests, and a person approving anything that matters.
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- Oracle AI for Fusion Applications:
https://social.ora.cl/6002BGfjvg
Thanks to Oracle for working with me on this!
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Join Dynamous, my AI community for mastering agentic engineering and building AI agents:
https://dynamous.ai
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0:00 Why One Chat Agent Isn't Enough
0:45 What Is an Agentic App?
2:47 Building an App in Oracle AI Agent Studio
3:27 Inside the Agentic App
4:36 Agents That Prioritize Your Next Actions
5:14 Every LLM Call Runs Inside a Workflow
7:17 Security with Policies
8:20 Policy Nodes vs. RAG
8:57 Building the Leave Policy Workflow
9:30 Workflow Permissions and Triggers
10:22 Visual Outputs, Not Walls of Text
11:40 Recap and What's Next
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Join me as I push the limits of what is possible with AI. I'll be uploading videos weekly - at least every Wednesday at 7:00 PM CDT!
YouTube Shorts
AI Agents Masterclass
AI Platform Showcases
Archon - The AI Agent Builder
bolt.diy (Open Source bolt.new)
Guide to Building AI Agents
LangChain
Local AI (LLMs, RAG, more)
n8n RAG Template
No Code AI with n8n
uploads
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