This video explains AI agents in theory and practice, covering the React reasoning-acting cycle and three agent patterns (sequential, reactive, planning). It then walks through building a blog-writing agent using Google's ADK, with code for planning, validation, and writing sub-agents.
A short editorial from the SEONIB team on why this content matters.
This video bridges theory and practice by explaining the React reasoning-acting cycle and three agent patterns, then delivering a hands-on ADK tutorial for a blog-writing agent.
Unlike generic agent overviews, this tutorial provides concrete code and a working multi-agent system with validation loops, making it immediately actionable for developers.
Developers looking to implement multi-step AI workflows should watch this video, then build their own agent using ADK's loop and tool structure.
Software that can reason, plan, take actions, and adapt based on observations.
Google's Agent Development Kit for building and running multi-agent systems.
A reasoning-acting cycle where a language model generates steps, takes actions, observes results, and adjusts.
An agent that runs steps in a fixed order like an assembly line.
An agent that decides actions based on current state without planning ahead.
An agent that sketches a plan before executing multistep goals.
An ADK workflow agent that retries sub-agents until validation passes.
A multi-agent system using ADK to plan, validate, write, and polish blog posts.
What is an AI agent?
Software that doesn't just answer but can decide and take action, using reasoning, planning, and memory.
What is the React pattern?
A cycle where a language model reasons step-by-step, takes an action (e.g., calls an API), observes the result, and decides what to do next.
What are the three types of AI agents?
Sequential (step-by-step), reactive (decides in the moment), and planning (sketches a plan before executing).
How does Google ADK help build agents?
ADK provides agents (LLM agents, loop agents, custom agents) and tools to orchestrate multi-step workflows with retries.
What is a loop agent in ADK?
A workflow agent that runs sub-agents and can retry them up to a set limit if validation fails.
How does outline validation work in the blog agent?
A checker agent inspects the outline for required sections (title, intro, 4-6 sections, conclusion) and returns 'okay' or 'retry' with explanation.
What tools does the root agent use?
The root agent uses two tools: the robust blog planner (for outlining) and the robust blog writer (for drafting).
How do you run the agent after writing the code?
Run `adk web` in the terminal and open the provided local link in a browser to interact with the agent.
What is the output of the blog agent?
A polished blog post with a structured outline, full content, alternative titles, and tweet-length hooks.
Who is the intended audience for the blog post generated by the agent?
Software engineers – the writer avoids basics, focuses on practical insights, and includes code snippets.
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