This video explains what AI agents are – software that can decide and take action, not just answer. It covers three agent patterns (sequential, reactive, planning) and then walks through building a blog-writing agent using Google's ADK, including planner and writer agents with validation checkers and a loop for automatic retries.
A short editorial from the SEONIB team on why this content matters.
AI agents are more than chatbots—they reason, act, and adapt. This video proves that with a working code example using Google ADK, showing how to build a reliable blog-writing agent with automated quality checks.
What sets this content apart is its hands-on approach: it not only explains agent patterns but walks through a complete, testable script that includes validation loops—a practical lesson for anyone wanting to deploy robust agents.
Developers and AI enthusiasts should watch this video and then immediately try building their own agent with ADK, starting with a simple tool-based workflow.
Software that can reason, plan, and take actions autonomously based on user requests.
Google's Agent Development Kit for building and orchestrating AI agents.
An agent pattern that executes steps in a fixed, predetermined order.
An agent pattern that decides its next action based on the current state without long-term planning.
An agent pattern that first creates a plan then executes it step by step.
A sub-agent that verifies output quality and signals retry if criteria are not met.
A wrapper that runs a sub-agent and a checker repeatedly until validation passes or retries exhausted.
What is an AI agent?
An AI agent is software that can decide and take action, not just answer. It reasons, plans, and uses tools to fulfill user goals.
What are the three patterns of AI agents?
Sequential (step-by-step), reactive (decides in the moment), and planning (sketches a plan then executes).
How does the React cycle work?
React stands for reasoning and acting: the agent reasons step by step, takes an action (calls a tool/API), observes the result, and decides what to do next.
What is Google ADK?
Google ADK (Agent Development Kit) is a framework for building AI agents with sub-agents, loops, and validation checkers.
How do you build a blog-writing agent?
Create a planner agent to produce an outline, a validation checker, a writer agent to convert outline to post, and a root agent to orchestrate the tools.
What is the purpose of a validation checker in an agent?
It checks the output of a sub-agent (e.g., outline or post) and returns 'OK' if valid or 'retry' with fixes if not, enabling automatic retries.
How many retries does the loop agent allow?
Up to three retries before accepting the output or giving up.
What does the root agent do?
The root agent coordinates the planner and writer tools, first generating an outline, then a full post, and finally alternative titles and hooks.
What is the role of the output key in ADK agents?
The output key stores the agent's result in shared state (e.g., blog_outline) so other agents can access it.
How do you run the built agent?
Use the command with ADK web to launch a local UI, then interact with the agent in a browser.
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