Gemini 2.5 Pro DEEP AGENTS : This CRAZY & FULLY FREE AI Agent is AMAZING!

Key Concepts

• Gemini 2.5 Pro: Google's state-of-the-art AI model, excelling in coding, reasoning, research, and complex problem-solving.
• Vector Shift: An AI automation platform for creating custom workflows and AI agents by connecting data sources to AI.
• AI Agents: Customized AI systems designed for specific tasks, such as summarizing data, answering questions, or providing code assistance.
• LLM (Large Language Model): AI models like Gemini 2.0 Flash and Gemini 2.5 Pro used for natural language processing and generation.
• API (Application Programming Interface): A way to access and use the AI agent's functionality programmatically.
• Knowledge Base: A repository of information that the AI agent can reference for context and data.
• Markdown File: A lightweight markup language used to create formatted text documents.

Gemini 2.5 Pro and Vector Shift for Custom AI Agents

Introduction to Gemini 2.5 Pro

• Gemini 2.5 Pro is presented as a cutting-edge AI model with strong capabilities in coding, reasoning, and research.
• It's currently free to use (with rate limits) and suitable for various tasks.
• The video focuses on using Gemini 2.5 Pro to create custom AI agents.

Overview of Vector Shift

• Vector Shift is introduced as an AI automation platform that simplifies the creation of AI agents and workflows.
• It allows users to connect data sources to AI models and build custom workflows through a drag-and-drop interface.
• Examples of AI agents include those that summarize Google Calendar events or Notion notes.
• Workflows can be accessed via chatbots, APIs, and automated triggers (e.g., Discord messages, emails).

Building a Code Assist Agent with Gemini 2.5 Pro and Vector Shift

• The video demonstrates how to build a code assist agent that generates markdown files with relevant information for AI coders.
• The agent takes a query, generates a search term, performs a Google search, scrapes the results, and summarizes the content using Gemini 2.5 Pro.
• The summarized data is then saved to a markdown file for the AI coder to reference.
• Example: If an AI coder doesn't know about new features in Next.js, the agent can create a markdown file with that information.

Step-by-Step Workflow Creation in Vector Shift

1. Input: Drag an input block to receive the user's query.
2. Google LLM (Gemini 2.0 Flash): Use Gemini 2.0 Flash to generate a search term from the input query.
   • A prompt is used to instruct the LLM to create an appropriate search term.
3. Web Search (Google Search): Connect the search term to Google Search to retrieve relevant web pages.
4. Scraping: Use the scraping option (with list mode enabled) to extract content from each search result.
   • The scraped content is returned as a list of text.
5. List Operations: Convert the list of text into a comma-separated string.
6. Google LLM (Gemini 2.5 Pro): Use Gemini 2.5 Pro to summarize the scraped content and generate a report.
   • The original input query is also connected to provide context for the summarization.
   • Users can enter their own API key to avoid rate limits.
7. Output: Drag an output block to display the summarized data.
8. Deployment: Deploy the changes to make the workflow accessible.

Using the AI Agent via API

• The created workflow can be accessed as an API.
• The video shows a simple program that uses the API to save the output as a markdown file.
• The AI coder can then be instructed to reference the data in the markdown file for additional context.

Additional Features of Vector Shift

• Vector Shift allows users to add knowledge to their AI agents by uploading files for reference.
• It also supports creating voice bots, bulk jobs, portals, and evaluations.

Benefits of Using Gemini 2.5 Pro and Vector Shift

• Gemini 2.5 Pro offers similar performance to other models like Claude at a lower cost (or even free).
• Vector Shift provides a drag-and-drop interface for easy customization and workflow automation.
• The combination allows users to create powerful AI agents without extensive coding.

Notable Quotes

• "Gemini 2.5 Pro just recently launched and it's currently the state-of-the-art model yet it excels in coding tasks it can reason to solve complex problems do research and much more"
• "...it's all in a drag and drop interface that allows you to customize it in any way you want and use it all for free via the free Gemini API and it will all be free overall it's pretty cool"

Technical Terms Explained

• LLM (Large Language Model): A type of AI model trained on vast amounts of text data, capable of understanding and generating human-like text.
• API (Application Programming Interface): A set of rules and specifications that allows different software applications to communicate and exchange data.
• Knowledge Base: A structured collection of information used by an AI agent to provide context and answer questions.
• Markdown: A lightweight markup language used to format text documents.

Synthesis/Conclusion

The video demonstrates how to leverage the capabilities of Gemini 2.5 Pro and the user-friendly interface of Vector Shift to create custom AI agents for specific tasks. By building a code assist agent as an example, the video highlights the potential of these tools for automating workflows, enhancing AI coder performance, and accessing information efficiently. The drag-and-drop interface of Vector Shift, combined with the power of Gemini 2.5 Pro, makes AI agent creation accessible to a wider audience.