Denis Kildishev
391 posts
391 posts
AI agent architecture decides what an agent can see, what it can do and how it chooses. Here are the components, common patterns and the choices that matter for business use.
An MCP server is a small program that exposes tools and data to AI assistants through the Model Context Protocol. Here is what that means and how to use one safely.
An AI workflow is a fixed sequence of steps where some steps use a language model. Here is how they work, when to use one instead of an agent and how to build one.
AI governance is how a company controls which AI systems run, on what data, under whose authority. Here are the core principles and the tools that enforce them.
What workflow automation is, how a workflow is built from triggers and actions, nine workflows worth automating first, and how to choose a tool.
A visual database builder inside Jet Admin where every table becomes an API. What it replaces, what it does, and when to use something else.
Triggers, conditions and actions explained, what automation actually saves you, and which process to automate first.
Vibe coding gets you a working demo in minutes. No-code gives you the permissions, hosting and data connections to keep it running. Here is why the best teams use both.
AI makes building feel free, but maintenance, security and permissions still cost. Here is a framework for deciding whether to build, buy or use a platform for each internal tool.
RPA mimics clicks, workflow automation connects systems through APIs, and DPA runs whole processes with people in the loop. Here is how to tell which one a process needs.