Editorial
AI Isn’t Complicated. But We Need to Talk About It.
Every time you open social media, there’s someone screaming about AI. Here is what it actually means for everyday jobs and how to start today without a headache.
Showing 14 posts filtered by:Category: AI AgentsClear all
Medium
Part 4: The Final Frontier — Governance, Evals, and Human-in-the-Loop
In the previous parts, we built the brain, the hands, and optimized the engine for cost. But in an enterprise setting, “it usually works” is...
Medium
Part 3: The Scaling Problem — Economics, Model Routing, and Prompt Caching
In Parts 1 and 2 , we built an agent that can think and act. But in a production environment, an agent that “loops” is an agent that “spends...
Medium
Part 2: The Hands-On Build — Orchestrating Agents with LangGraph
In Part 1 , we defined the “Agentic Mindset.” Now, it’s time to move into production. In this post, we will build a fully autonomous Securit...
Medium
Building an Autonomous Security Auditor with LangGraph and LM Studio
In the world of cloud security, speed is everything. A misconfigured port can lead to a breach in minutes. While traditional scanners alert ...
Medium
Part 1: The Blueprint — Moving from LLMs to Agentic Workflows
The honeymoon phase with “Chat” is over. For the past two years, we’ve marveled at LLMs that can write poetry or summarize meeting notes. Bu...
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