Finally, an AI agent that actually works

The video script discusses the capabilities of an AI agent named Hyperwrite, a Chrome plugin with over 100K users. Initially an AI writing companion, it has introduced an AI assistant feature that can manage emails, book flights, interact with social media platforms like LinkedIn, review GitHub pull requests, and even write and publish blog posts. The assistant demonstrates impressive results in task execution but has limitations with certain tools like Google Docs. The video also explores the concept of specialized AI agents, focusing on level 2 or 3 autonomy where AI excels at specific tasks while humans provide direction. This approach is seen as a stepping stone towards fully autonomous AI systems.

Takeaways

• 🚀 The AI agent described is capable of performing tasks such as responding to emails, reviewing GitHub PRs, and even writing blog posts on behalf of the user.
• 📧 It can manage email inboxes by reading and responding to emails in the user's writing style, and can differentiate between personal and promotional emails.
• 💡 The AI agent, named 'Hyperwrite', is a Chrome plugin with over 100K users and has introduced an AI assistant feature that can access the entire browser.
• 🔍 It can perform tasks like booking flights, interacting with LinkedIn, and reviewing pull requests, showcasing an expanded tool selection.
• 📈 The AI is currently in its Alpha 0.01 phase but has already demonstrated impressive results in task execution.
• 🛠️ Despite high error rates in task execution and limited tool availability, the platform's potential is significant, especially for personal assistant applications.
• 📈 The AI can learn the user's writing style by reading their Gmail data, which enhances the personalization of responses.
• 📝 In LinkedIn lead generation, the AI can search for posts, leave comments, and help in building connections with potential customers.
• 🔍 The AI can review pull requests by checking file changes and leaving comments if improvements are needed.
• ✍️ It can write and publish blog posts, adhering to the user's instructions regarding content length and structure.
• 📈 The agent validates its actions by checking the outcome, such as confirming a published blog post on a website.
• 🚧 There are limitations, such as difficulties in using Google Docs and Sheets, but the potential for improvement is vast as the technology progresses.

Q & A

What is the main function of the AI agent discussed in the transcript?

The AI agent discussed is designed to perform various tasks such as managing emails, responding to GitHub PRs, and even writing and publishing blog posts on behalf of the user.

How does the AI agent access and manage the user's email inbox?

The AI agent accesses the user's email through a Chrome plugin and can read and respond to unread emails, draft responses, and archive promotional emails.

What is the new feature of the AI writing companion called?

The new feature is called AI Assistant, which is an auto GPT that has access to the user's entire browser.

How does the AI agent assist with LinkedIn lead generation?

The AI agent can search for posts about generative AI on LinkedIn, leave comments on each post, and help warm up connections with potential customers.

What is a common task the AI agent performs for GitHub pull requests?

The AI agent reviews pull requests, checks for errors, and either approves them if they are good or leaves comments if improvements are needed.

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

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

What is the current limitation of the AI agent when it comes to using certain tools?

The AI agent has a high error rate in task execution and is currently limited in the tools it can use, mostly restricted to browsing the internet.

What is the concept of 'eyeshadowing you' mentioned in the transcript?

The concept of 'eyeshadowing you' refers to the AI agent mimicking the user's writing style and communication to interact with colleagues and friends on behalf of the user.

How does the AI agent determine the type of email and respond accordingly?

The AI agent can analyze the content of the email to determine if it's promotional or personal. It archives promotional emails and drafts responses for personal emails.

What is the significance of the AI agent's ability to learn the user's writing style?

The ability to learn the user's writing style allows the AI agent to draft more personalized and natural-sounding responses, making interactions seem as if they were written by the user themselves.

What is the current version of the AI assistant plugin mentioned in the transcript?

The current version of the AI assistant plugin is in Alpha 0.01.

What is the mental model of agents discussed in the transcript?

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

Outlines

00:00

🤖 AI Personal Assistant Capabilities

The video introduces an AI agent that can access and manage an email inbox, respond in the user's writing style, review GitHub pull requests, and more. The AI agent is described as a combination of a large language model, memory, planning skills, and tools. It can prioritize tasks, use the right tools to execute them, and decide on the next best action. The agent's capabilities are demonstrated through various use cases, including managing emails, LinkedIn lead generation, reviewing pull requests, and even writing and publishing blog posts. However, it is noted that the AI is still in its early stages with a high error rate and limited tool selection, mostly internet browsing.

05:01

🔍 Advanced AI Agent Use Cases

The video script details specific use cases for an advanced AI agent, showcasing its ability to perform tasks such as searching for posts on LinkedIn, commenting on them, reviewing pull requests for code, and writing blog posts. The AI agent is shown to be effective in identifying typos in code and providing feedback, as well as in drafting and publishing content. It also attempts to write tweets and conduct research for blog posts, although it struggles with certain platforms like Google Docs. The video emphasizes the potential of the AI agent and the excitement around its development, while also acknowledging current limitations.

10:03

🚀 The Future of AI Agents

The video concludes with a discussion on the future of AI agents, highlighting the importance of developing agents that excel at specific tasks (level 2 or 3 agents) before progressing to fully autonomous agents (level 5). The presenter expresses excitement about the potential for specialized agents that can perform certain tasks exhaustively, with humans directing the overall strategy. The video encourages viewers to explore the capabilities of AI assistants and anticipates future videos on building practical and interesting agents.

Keywords

AI agent

An AI agent refers to an artificial intelligence system that can perform tasks autonomously on behalf of a user. In the video, the AI agent is described as capable of managing email inboxes, reviewing GitHub pull requests, and even generating responses in the user's writing style. It is a core concept as the entire narrative revolves around the functionalities and potential of AI agents.

Email inbox management

Email inbox management involves organizing and responding to emails efficiently. The video script mentions the AI agent's ability to read and respond to unread emails, distinguishing between personal and promotional emails, and drafting responses in the user's style. This showcases the practical application of AI in automating routine tasks.

GitHub PR review

GitHub PR, or pull request, review is a process where changes to a codebase are proposed and reviewed before being merged. The AI agent in the video is shown to review PRs, identify typos, and leave comments, which is significant as it demonstrates the AI's capability to understand and interact with complex coding environments.

Chrome plugin

A Chrome plugin is an extension that adds functionality to the Google Chrome web browser. The video discusses 'Hyperwrite', a Chrome plugin that serves as an AI writing companion and introduces an AI assistant feature. It is a key component as it allows the AI agent to access and interact with web pages, expanding its utility.

LinkedIn lead generation

LinkedIn lead generation is a strategy where users find and engage with potential customers on the LinkedIn platform. The script describes how the AI agent can be used to find posts about generative AI and leave comments, simulating a lead generation strategy. This highlights the AI's potential in social media marketing and networking.

Generative AI

Generative AI refers to artificial intelligence systems that can create new content, such as text, images, or music. The video mentions generative AI in the context of finding posts and commenting on LinkedIn, indicating its relevance in current AI discussions and the AI agent's ability to engage with such topics.

Webflow account

A Webflow account is used to create and manage websites through the Webflow platform, which offers a visual interface for designing and developing responsive websites. The AI agent is shown to access a Webflow account to write and publish blog posts, illustrating its ability to handle content creation and management tasks.

Blog post generation

Blog post generation is the process of creating written content for a blog. The video demonstrates the AI agent's ability to write and publish a blog post about the problems of generative AI, which is significant as it shows the AI's potential in content creation and automation.

Auto GP

Auto GP, mentioned in the context of the AI agent, likely refers to an automated version of the General Purpose (GP) tasks that an AI can perform. The script discusses how the AI agent can autonomously perform tasks like booking flights and interacting with websites, which is indicative of the advanced capabilities of modern AI systems.

AI error rate

AI error rate refers to the frequency at which an AI system makes mistakes in performing tasks. The video acknowledges that current AI agents have a high error rate, particularly when executing tasks and using tools, which is important for understanding the limitations and areas for improvement in AI technology.

Mental model of agents

A mental model of agents refers to a conceptual framework for understanding and categorizing different levels of AI autonomy. The video discusses levels 2 and 3 agents, which perform specific tasks well while requiring human direction for broader planning. This concept is crucial for understanding the current state and future development of AI agents.

Highlights

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

AI agent can review GitHub PRs on behalf of the user.

AI agent has developed significantly in the past few months, evolving from a basic AGI to more advanced models.

The AI agent is a combination of a large language model, memory, planning skills, and tools.

Hyperwrite is a Chrome plugin with over 100K users that acts as an AI writing companion.

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

The AI assistant can book flights, interact with LinkedIn, and perform tasks as the user would.

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

AI assistant can manage email inboxes, including reading and responding to unread emails.

AI can draft responses and flag important messages for later review.

AI assistant can autonomously post comments on LinkedIn based on user instructions.

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

AI can write and publish blog posts, adhering to a minimum word count as specified by the user.

AI agent validates tasks after completion, such as checking a published blog post.

The AI agent struggles with certain tasks like using Google Docs or Sheets effectively.

The concept of level 2 or 3 agents is introduced, where AI performs specific tasks well while humans provide direction.

Specialized agents that perform certain tasks exceptionally well are expected to pave the way for fully autonomous level 5 agents.

The video highly recommends trying out the AI assistant to explore its capabilities and potential use cases.