Google has leveled up with the release of Gemini 2.5 Pro, a model specifically designed for advanced Agentic AI applications. Marketed as a powerful tool for building intelligent agents and automating end-to-end tasks with precision and speed, Gemini 2.5 Pro is currently the most intelligent AI model available, delivering top-tier performance while remaining cost-efficient.

Gemini 2.5 Pro offers powerful multimodal capabilities, including image generation, text-to-speech, and advanced tool use. It supports structured function calling, which integrates search as a tool and can even execute code, making it an ideal complex agent workflow with top-tier performance in reasoning, coding, and multi-step task execution. This model stands out as one of the most capable models available today.

Even more impressively, the Gemini 2.5 Pro model empowers you to build AI agents with built-in agent capabilities completely for free. It is lightweight, extremely fast, and intuitive, designed for speed and usability, making sophisticated agent creation easier and more accessible than ever before.

Throughout this video, we'll be using Vector Shift, an all-in-one AI platform that lets you build AI apps and automations through a simple drag-and-drop interface. It's incredibly easy to get started, and best of all, it's completely free. We'll showcase the capability of creating AI agents powered by the Gemini 2.5 Pro model, demonstrating how to automate the process of handling invoices directly from your email, extracting key details without writing a single line of code.

In this section, we'll showcase how you can leverage the power of Vector Shift and the Gemini 2.5 Pro AI model to automate the process of handling invoices directly from your email. We'll demonstrate how to extract key details like the price, invoice number, and other important fields without writing a single line of code.

First, we'll set up a Gmail trigger node in Vector Shift to monitor your inbox for incoming invoices. Then, we'll create a pipeline to process the email attachments using the list node feature, ensuring consistency when handling multiple invoices.

Next, we'll utilize the AI operation nodes to extract the relevant data from the invoices, such as the vendor name and invoice date. We'll also implement a categorization feature to classify the different types of invoices (e.g., food, utilities).

To streamline the process, we'll connect the extracted data to a Google Sheet, allowing you to easily view and manage the invoice information.

Finally, we'll add an optional step to send a summary email back to the original sender, providing a concise overview of the processed invoices. This will be powered by the Gemini 2.5 Pro language model, ensuring a clear and informative communication.

By the end of this section, you'll have a fully automated invoice processing system that leverages the advanced capabilities of Vector Shift and the Gemini 2.5 Pro AI model, making your life easier and more efficient.

In this section, we'll showcase how to automate the process of handling invoices directly from your email using Vector Shift and the powerful Gemini 2.5 Pro AI model.

First, we'll set up a Gmail trigger node to monitor your inbox for incoming invoices. To handle multiple invoices, we'll use the list node feature to ensure consistency in processing attachments.

Next, we'll create a pipeline to extract key details from the invoices, such as vendor name, invoice date, and description. We'll leverage the AI operation nodes to perform data extraction and categorization, ensuring accurate processing of various invoice formats.

To store the extracted data, we'll integrate a Google Sheets node to automatically add new rows with the relevant information. This streamlines the invoice management process, eliminating the need for manual data entry.

As an optional step, we'll also set up a text node to generate a summary email, utilizing the Gemini 2.5 Pro language model to provide a concise overview of the processed invoices. This added functionality enhances the overall automation and communication within the workflow.

By the end of this section, you'll have a fully configured pipeline that seamlessly extracts, categorizes, and stores invoice data, all without writing a single line of code. This powerful automation, powered by the Gemini 2.5 Pro model, showcases the ease and efficiency of building intelligent agents with Vector Shift.

Building AI agents with powerful automation capabilities has never been easier, thanks to the integration of Google's Gemini 2.5 Pro model and the user-friendly Vector Shift platform. In this section, we'll showcase how to create an AI agent that can automate the process of handling invoices directly from your email.

Using the drag-and-drop interface of Vector Shift, we'll configure a pipeline that can extract key details from invoices, such as the vendor name, invoice date, and total amount. This information will then be automatically added to a Google Sheet, providing a centralized and organized record of your invoices.

But that's not all - our AI agent will also generate a summary email, leveraging the natural language processing capabilities of the Gemini 2.5 Pro model. This email will be sent back to the original sender, providing a concise overview of the processed invoice details.

By automating these tasks, you can streamline your workflow, reduce the risk of manual errors, and free up valuable time to focus on more strategic priorities. The seamless integration of Gemini 2.5 Pro and Vector Shift makes this level of intelligent automation accessible and easy to implement, empowering you to build sophisticated AI agents without the need for extensive coding knowledge.

In this video, we have showcased the powerful capabilities of the Gemini 2.5 Pro model and how it can be seamlessly integrated with Vector Shift to create intelligent AI agents. The Gemini 2.5 Pro model delivers top-tier performance in reasoning, coding, and multi-step task execution, making it an ideal choice for building complex agent workflows.

Using the drag-and-drop interface of Vector Shift, we demonstrated the process of automating invoice handling directly from email. We were able to extract key details like vendor name, invoice date, and categorize the invoices without writing a single line of code. Furthermore, we integrated the Gemini 2.5 Pro model to summarize the extracted information and send a detailed email response.

This example highlights the ease and accessibility of creating sophisticated AI agents powered by the Gemini 2.5 Pro model through Vector Shift. The platform's intuitive design and pre-built templates make it an excellent choice for users of all skill levels to build and deploy intelligent automation solutions.

In conclusion, the combination of Gemini 2.5 Pro and Vector Shift empowers users to create powerful AI agents that can streamline and automate complex tasks, ultimately improving efficiency and productivity. This integration showcases the future of intelligent automation and the accessibility it brings to the masses.