Human Presence in Agentic Workflows
Where does a person come into an AI workflow today? Is it during code creation? PRs? Quantifying business output? This is the question that every organization using AI is trying to figure out
AI Agents
Your Agent Is Only as Good as Your Quality Stack
Here's the scenario that I read daily: I asked an Agent to do something, but it didn't do it quite like I'd hope.
And the irony is
Building and Storing Agent Skills
Extendable capabilities within any Agentic framework is key to a quality and performant output of an Agent. Whether you're writing code, designing a new logo for your product, or architecting a
Intercept, Inspect, Secure: Proxying Claude Code CLI Traffic
Architecture diagrams always look something like this:
Agent -> Gateway -> LLM (or MCP Server).
The Agents that organizations are typically referring to are Agents that perform an action via prompts by a
Creating Your First Agent Skill: A Hands-On Tutorial
Accuracy and quality of output from an Agent is the make or break between what's truly usable across the enterprise and what's simply a toy. Aside from taking the