Finally, an AI agent that actually works

AI Jason
2 Jul 202310:58

TLDRThe video script discusses the capabilities of a new AI assistant called Hyperwrite, a Chrome plugin with over 100K users. Initially an AI writing companion, Hyperwrite's latest feature allows it to access the entire browser, enabling tasks like booking flights, managing emails, commenting on LinkedIn posts, reviewing GitHub pull requests, and even writing and publishing blog posts. The assistant is currently in Alpha 0.01 and, while not perfect, showcases impressive results in task execution. The video also touches on the concept of specialized AI agents, suggesting that focusing on agents that perform specific tasks exceptionally well will pave the way for more advanced, fully autonomous AI in the future.

Takeaways

  • 📧 The AI agent can access and manage email inboxes, responding to emails in the user's writing style.
  • 🤖 It can review GitHub pull requests (PRs) on behalf of the user, identifying issues and providing feedback.
  • 📈 The AI agent, named Hyperwrite, is a Chrome plugin with over 100K users and has introduced an AI assistant feature.
  • 🛠️ The AI assistant has expanded tool capabilities, allowing it to perform tasks across various online platforms, not just web browsing.
  • 📈 Despite being in Alpha 0.01, the AI assistant has shown impressive results in performing tasks and learning from user data.
  • 📨 The AI can sort through emails, identifying promotional content and archiving it, while drafting responses for personal or business emails.
  • 💼 It can assist with lead generation on LinkedIn by finding relevant posts and leaving comments on behalf of the user.
  • 🔍 The AI agent can review code changes in PRs, spot errors, and leave comments or approve them based on the quality of the code.
  • ✍️ It can write and publish blog posts, adhering to a given word count and including both excerpts and body text.
  • 📈 The AI agent is capable of automating repetitive and time-consuming tasks, showing high success rates in specific areas.
  • 🚧 There are limitations, as the AI struggles with certain platforms like Google Docs and Sheets, indicating room for improvement.
  • 🌟 The concept of specialized 'level 2' or 'level 3' agents that perform specific tasks well while humans direct the overall strategy is an exciting development.

Q & A

  • What is the main function of the AI agent mentioned in the script?

    -The AI agent, referred to as 'Hyperwrite', is a Chrome plugin that functions as a personal assistant. It can access and manage email inboxes, review GitHub pull requests, engage in social media activities like posting comments on LinkedIn, and even write and publish blog posts.

  • How does the AI agent prioritize tasks?

    -The AI agent uses a large language model to prioritize tasks. It decides the best course of action based on the information it has collected and the tools it has access to.

  • What are the limitations of the AI agents mentioned in the script?

    -The AI agents have a high error rate when executing tasks and their tool selection is limited, mostly to internet browsing. They are also in the early stages of development, described as 'baby steps'.

  • How does the AI agent assist with email management?

    -The AI agent can read and respond to unread emails, draft responses for business emails, and automatically archive promotional emails. It learns the user's writing style from their Gmail data to personalize responses.

  • What new feature has Hyperwrite introduced that expands its capabilities?

    -Hyperwrite has introduced an AI assistant feature that gives it access to the entire browser, allowing it to perform a wider range of tasks such as booking flights, interacting with DOM nodes, and using LinkedIn.

  • How does the AI agent assist with LinkedIn lead generation?

    -The AI agent can search for posts about specific topics, such as 'generative AI', and leave comments on each post to warm up connections with potential customers.

  • What is a pull request and how does the AI agent assist with reviewing them?

    -A pull request is a proposal to merge changes from one branch to another in a codebase. The AI agent can review these changes, spot errors, leave comments if necessary, and approve or request improvements.

  • How does the AI agent help with writing and publishing blog posts?

    -The AI agent can create a new blog post based on a given topic and word count, fill in the excerpt and body, and then publish the post to the user's website.

  • What are the current limitations of the AI agent when working with Google Docs?

    -The AI agent can find and create a new Google Doc, but it struggles with locating where to input the body of the content within the document.

  • What is the mental model for agents as shared in the launching agent webinar?

    -The mental model suggests focusing on building level 2 or level 3 agents that perform specific tasks extremely well, with humans providing direction or instructions for next steps. This approach is seen as a stepping stone towards fully autonomous level 5 agents.

  • What are some potential future use cases for specialized AI agents?

    -Specialized AI agents could be used for tasks like exhaustively finding good information from the internet, allowing humans to decide on further research topics without spending hours searching online.

  • How can one try out the AI assistant mentioned in the script?

    -To try out the AI assistant, one can go to Google Chrome and install the Hyperwrite plugin, which is available through a link provided in the script.

Outlines

00:00

🤖 AI Personal Assistant Capabilities

The video introduces an AI agent that can mimic the user's writing style to respond to emails and review GitHub pull requests (PRs). It also references the TV show Silicon Valley and the concept of an AI shadow that can interact on one's behalf. The AI agent is described as a combination of a large language model, memory, planning skills, and tools. The video discusses the limitations of current AI agents, such as a high error rate and limited tool usage, but highlights a new Chrome plugin called Hyperwrite that has an AI assistant feature. This feature allows the AI to access the user's browser for tasks like booking flights, interacting with LinkedIn, and even writing blog posts. The presenter shares their experience with the AI agent performing various tasks, including managing emails, commenting on LinkedIn posts, reviewing PRs, and publishing blog posts.

05:01

🚀 Exploring AI Assistant's LinkedIn and GitHub Features

The presenter demonstrates the AI assistant's ability to search for posts on LinkedIn related to generative AI and leave comments on behalf of the user. They also show the AI reviewing pull requests on GitHub, including spotting a deliberate typo introduced by the presenter. The AI agent is shown to be capable of leaving comments and initiating merges when appropriate. The video also covers the AI's attempt to write and publish a blog post, which it successfully does. However, the presenter notes that the AI struggles with using Google Docs, Sheets, and other platforms, although they are excited about the potential for improvement and the expansion of use cases for personal assistants.

10:03

📈 The Future of AI Agents and Specialization

The video concludes with the presenter's excitement about the future of AI agents, particularly those that are specialized in performing specific tasks, known as level 2 or level 3 agents. They discuss the current challenges in task planning and execution quality, suggesting that more specialized agents could lead to the development of fully autonomous agents (level 5). The presenter encourages viewers to try out the AI assistant and explore its capabilities, promising to share more videos on building interesting and practical agents in the future.

Mindmap

Keywords

💡AI agent

An AI agent, as described in the video, is an artificial intelligence system capable of performing tasks autonomously on behalf of a user. It is a combination of a large language model, memory, planning skills, and access to various tools. In the context of the video, the AI agent can manage emails, review GitHub pull requests, and even write and publish blog posts, showcasing its ability to prioritize tasks and execute them using the right tools.

💡Email inbox management

Email inbox management refers to the process of organizing and responding to emails efficiently. In the video, the AI agent is shown to read and respond to unread emails, distinguishing between personal and promotional emails and taking appropriate actions such as drafting responses or archiving emails.

💡GitHub PR

GitHub PR stands for GitHub Pull Request, which is a mechanism for proposing changes to a repository in Git. The AI agent in the video is capable of reviewing these pull requests, checking for errors, and providing feedback or approval, automating a tedious process for developers.

💡LinkedIn lead generation

LinkedIn lead generation is a strategy where users find and engage with potential customers on LinkedIn to build connections. The AI agent can automate this process by searching for relevant posts and leaving comments on behalf of the user, as demonstrated in the video.

💡Chrome plugin

A Chrome plugin, also known as an extension, is a software component that adds specific features to the Google Chrome browser. The video discusses 'Hyperwrite', a Chrome plugin that serves as an AI writing companion and introduces an AI assistant feature, enhancing the browser's capabilities.

💡Auto GPT

Auto GPT is mentioned as a type of AI agent that has access to the user's browser and can perform various tasks such as booking flights or interacting with websites. It represents a shift towards more autonomous and integrated AI functionalities within everyday digital tools.

💡Blog post generation

Blog post generation is the process of creating and publishing content for a blog. The AI agent showcased in the video can write and publish blog posts, adhering to the user's instructions regarding content length and topic, which saves time and effort.

💡Generative AI

Generative AI refers to artificial intelligence systems that can create new content, such as text, images, or music. In the video, the AI agent is given tasks related to generative AI, such as finding relevant posts on LinkedIn and commenting on them, highlighting the technology's application in content creation and curation.

💡Webflow

Webflow is a web development platform that allows users to design, build, and launch responsive websites visually. The AI agent in the video is shown to have access to the user's Webflow account, enabling it to write and publish blog posts directly, demonstrating the integration of AI with web development tools.

💡Task prioritization

Task prioritization is the process of arranging tasks in order of importance or urgency. The AI agent uses a large language model to prioritize tasks that need to be done, deciding on the best course of action based on the information it has, which is crucial for efficient time management and productivity.

💡Mental model

A mental model is a concept or representation within an individual's mind that helps to understand and predict behavior or events. The video references a mental model for building AI agents, emphasizing the importance of developing specialized agents that perform specific tasks well, which can eventually lead to more advanced, fully autonomous AI systems.

Highlights

The AI agent can access and respond to emails in the user's writing style.

It can review GitHub PRs on behalf of the user.

The AI agent has been a hot topic, with significant development in recent months.

Hyperwrite is a new AI agent Chrome plugin with over 100K users.

Hyperwrite's AI assistant feature provides auto GPT access to the entire browser.

The AI can book flights, access Dom nodes, and perform tasks similar to a user.

The tool is currently in Alpha 0.01 and has shown impressive results.

AI can manage emails by reading, responding, and archiving based on content.

The AI learns the user's writing style from their Gmail data.

AI can perform lead generation strategies on LinkedIn by finding and commenting on posts.

AI can review pull requests, spot errors, and provide feedback.

The AI can write and publish blog posts, including creating and validating the content.

The AI can schedule and write tweets on a set interval.

There are limitations with certain platforms like Google Docs and Sheets.

The potential for specialized level 2 or 3 agents that perform specific tasks well is discussed.

As AI improves, the range of personal assistant capabilities will expand.

The presenter is excited about the future of specialized agents and their role in advancing to fully autonomous AI.

The audience is encouraged to try out the AI assistant and explore its capabilities.