AI Agents & Automations Explained in 19 Minutes
AI Summary
The video by Igor explains the difference between AI workflows (automations) and AI agents, using a practical example of building a blog writing workflow. He starts by defining workflows as triggered processes with predetermined actions and contrasts this with agents, which have dynamic decision-making powered by AI that controls the workflow execution. He leverages the Vector Shift platform to demonstrate how to create a workflow that generates blog posts from input topics using a custom knowledge base that scrapes the Google AI blog daily to keep content up-to-date.
Igor then shows how to build an agent that combines tools like Google search, the custom knowledge base, and workflows, enabling autonomous tasks such as sending custom emails with generated articles. The video also differentiates classical automations (deterministic workflows) from agents that can reason, plan, and adapt, highlighting definitions from OpenAI and Google Cloud.
He concludes by recommending to start learning with useful prompts and context, then build workflows to automate tasks, and finally move on to building agents that can orchestrate these workflows. He endorses Vector Shift as a comprehensive platform to create such AI-powered automations and agents for practical use cases.