NEW Google 2.5 Deep Research Agents Update 🤯

Key Concepts

Gemini 2.5 Pro, Deep Research AI Agents, Vector Shift, AI Studio, LLMs (Large Language Models), Prompt Engineering, Augment Code, Visual Studio Code, AI Profit Boardroom, SEO Strategy.

Gemini 2.5 Pro for Deep Research

• Main Topic: The release of Gemini 2.5 Pro, Google's new AI model, and its application in deep research.
• Key Points:
  • Gemini 2.5 Pro is presented as a more intelligent AI model with a better API, excelling at finding, synthesizing information, and analytical reasoning.
  • It outperforms OpenAI's ChatGPT in instruction following, comprehensiveness, completeness, and writing quality for deep research tasks.
  • The model can be accessed through the paid Gemini Advanced version or built into custom AI agents.
• Example: Researching the differences between Augment Code and other IDEs.
• Process:
  1. Select "Deep Research" within Gemini Advanced.
  2. Input the research query.
  3. Edit the research plan if needed.
  4. Allow Gemini 2.5 Pro to conduct research and generate a report.
• Data: Gemini outperforms OpenAI on benchmarks like instruction following and writing quality.
• Quote: "Deep research with Gemini... is outperforming on most of the benchmarks so it's absolutely crushing it right now."

Building Free AI Research Agents with Vector Shift

• Main Topic: Creating custom AI research agents for free using Vector Shift and Gemini 2.5 Pro.
• Key Points:
  • Vector Shift allows users to build one free chatbot or AI agent using Gemini 2.5 Pro.
  • Users can connect to Google Search to provide the agent with real-time information.
  • AI Studio can be used to obtain an API key for higher usage limits.
• Process:
  1. Create a new pipeline in Vector Shift.
  2. Insert an input node for chat input.
  3. Select Gemini 2.5 Pro Experimental as the LLM.
  4. Connect a Google Search data loader to the input.
  5. Craft a prompt instructing the agent to create a research report based on Google Search results.
  6. Deploy the changes and test the chatbot.
  7. Export the chatbot and embed it on a website or connect it to Slack.
• Example: Building a deep research agent to report on Gemini 2.5.
• Technical Terms:
  • LLM (Large Language Model): The AI model used for generating text and responses.
  • API Key: A code used to authenticate and authorize access to an API.
• Logical Connection: This section provides a free alternative to the paid Gemini Advanced, allowing users to leverage the power of Gemini 2.5 Pro without cost.

Augment Code: An AI Coding Agent

• Main Topic: Reviewing Augment Code, an AI coding agent designed to write code like senior engineers.
• Key Points:
  • Augment Code integrates with Visual Studio Code, JetBrains, Vim, GitHub, and Slack.
  • It offers a free trial followed by a $30/month subscription.
  • The agent has "chat," "agent," and "agent auto" modes.
• Process:
  1. Install the Augment Code extension in Visual Studio Code.
  2. Create a new project.
  3. Select "agent auto" mode.
  4. Input a coding request.
• Comparison: Augment Code is compared to R code (another AI coding tool).
• Findings:
  • Augment Code was slower than R code in setting up a React project.
  • The output of Augment Code and R code for a simple SEO cost calculator was very similar.
• Quote: "Build out the best possible SEO calculator you can."
• Technical Terms:
  • IDE (Integrated Development Environment): A software application that provides comprehensive facilities to computer programmers for software development.
• Logical Connection: This section explores a different type of AI agent, focusing on coding rather than research.

AI Profit Boardroom and SEO Strategy

• Main Topic: Promotion of the AI Profit Boardroom and a free SEO strategy session.
• Key Points:
  • The AI Profit Boardroom offers training on Gemini and Google Gemini, including autonomous agents, building with Gemini 2.5 Pro, and free deep research agents.
  • It includes a community, weekly Q&A calls, and constantly updated content.
  • A free one-to-one SEO strategy session is offered to help users generate more leads, traffic, and sales with SEO.
• Data: Websites taken from zero to 145,000 visits a month, generating hundreds of thousands of dollars in sales.

Synthesis/Conclusion

The video highlights the capabilities of Gemini 2.5 Pro as a powerful tool for deep research, showcasing both a paid method (Gemini Advanced) and a free method (Vector Shift) for leveraging its AI capabilities. It also briefly explores Augment Code as an AI coding assistant, comparing it to other tools like R code. The video concludes with a promotion of the AI Profit Boardroom, offering further training and community support for those interested in maximizing the benefits of AI. The key takeaway is that AI tools like Gemini 2.5 Pro can significantly enhance research and coding efficiency, providing valuable insights and automation for various tasks.