Gemini 2.5 AGENTS: Powerful AI Agents BY Gemini Can DO ANYTHING For FREE! Automate Your Life!

Key Concepts

• Gemini 2.5 Pro and Flash: Upgraded AI models by Google, focusing on speed, cost-efficiency, and agent capabilities.
• Gemma 3n: A new AI model topping the list of new models.
• Agentic Workflows: Automating tasks using AI agents, functioning as personal AI assistants.
• Vector Shift: A no-code, drag-and-drop platform for building AI apps and workflows.
• Conversational Agentic Workflow: Multi-purpose workflows for creating assistants, chatbots, and workflow automations.
• Knowledge Base Reader: Providing context to the AI model using files and URLs for accurate responses.

Gemini 2.5 Models and Their Capabilities

• Gemini 2.5 Pro and Flash: These models are designed for speed and value at scale, making them ideal for agent workflows.
• Key Features: Natively multimodal, native audio capabilities, and long context understanding.
• Gemini 2.5 Flash: A cost-efficient model with strong performance, outperforming models like Claude 3.7, Set 3 Beta, and Deepse in various benchmarks (science, reasoning, math, coding).
• Application: Integrating these models into agentic workflows can automate tasks and create personal AI assistants.

Vector Shift Platform Overview

• Definition: A no-code, drag-and-drop platform for building AI apps and workflows.
• Functionality: Automates workflows and back-office processes without requiring coding.
• Ecosystem: An all-in-one platform for building, deploying, and managing AI agents, chatbots, and more.
• Accessibility: Offers a free tier for users to get started.
• Dashboard: Provides access to pipelines, chatbots, workflows, and other tools.
• Templates: Offers readily available templates for automating various tasks.

Building a Conversational Agentic Workflow with Vector Shift

• Objective: Creating a multi-purpose conversational workflow for assistance, chatbots, and workflow automation.
• Use Case: Building an AI conversational chatbot that can answer queries about Vector Shift and implement solutions.
• Process:
  1. Creating a Conversational Node: Starting the agentic workflow with a conversational node.
  2. Initial Message: Setting up a welcome message with an image of the Vector Shift app.
  3. Data Capture: Capturing the user's name and email address using capture nodes.
  4. Email Validation: Using Gemini 2.5 Pro to validate the email address against a subscription list.
  5. Condition Node: Implementing a condition node to process different queries based on email validity (yes/no).
  6. Invalid Email Handling: If the email is invalid, the workflow cycles back to capture a valid email.
  7. Valid Email Handling: If the email is valid, the workflow proceeds to ask how the AI can assist.
  8. Google Sheet Integration: Adding a Google Sheet node to record validated names and emails.
  9. Dependency Feature: Using the dependency feature to ensure only validated data is added to the Google Sheet.
  10. Q&A Chatbot Integration: Integrating a basic Q&A chatbot to answer user questions based on a knowledge base.
  11. Knowledge Base Reader: Providing files and URLs to give the AI model context about Vector Shift's website.
  12. Prompt Engineering: Using two prompts: one for the question and one for the context to generate accurate responses.
  13. Button Node: Adding a button node to ask if the user has additional questions (yes/no).
  14. Cyclical Input: If the user has more questions, the workflow repeats the question-answering cycle.

Deployment and Testing

• Deployment: Deploying the changes to see the workflow in action.
• Testing: Running the workflow and observing the initial message, data capture, and email validation process.
• Chatbot Export: Exporting the workflow as a chatbot to embed it on websites, Slack, WhatsApp, or SMS.
• Example: Demonstrating how the chatbot validates an email ([email protected]) and answers questions based on the provided knowledge base.

Conclusion

The video demonstrates how to leverage the power of Gemini 2.5 models and Vector Shift to create sophisticated AI agents. By using a no-code platform and integrating various nodes, users can automate tasks, validate user data, and provide intelligent assistance through conversational workflows. The example of building a customer support chatbot highlights the practical applications and ease of use of the platform. The key takeaway is that Vector Shift, combined with Gemini 2.5, empowers users to build powerful AI solutions without requiring extensive coding knowledge.