TLDR;
This video features a discussion about the new capabilities of Lindy AI, focusing on its agent builder and computer use features, which allow users to create and deploy AI agents for various tasks. It highlights the potential for these agents to automate customer service, sales, and other business processes, ultimately moving towards fully autonomous companies.
- Lindy AI's agent builder simplifies the creation of AI agents through natural language instructions.
- Computer use feature enables AI agents to perform tasks on a computer, integrating with various tools and platforms.
- The discussion includes practical examples, such as automating LinkedIn outreach and nurturing lost sales leads.
Intro [0:00]
Greg Isenberg introduces Lindy AI, highlighting its ability to use plain English to create AI agents for increased productivity and revenue generation. He emphasizes that Lindy AI's new features, including agent swarms and computer use, are paving the way for fully autonomous companies, a concept that was previously considered science fiction.
Overview of Lindy’s new capabilities [1:01]
Flo from Lindy AI introduces the agent builder and computer use features. The agent builder simplifies the process of creating AI agents, while computer use allows these agents to perform a wide range of tasks on a computer. Flo likens the current state of AI agents to the terminal days of personal computers, noting that Lindy AI aims to make AI agents more accessible and user-friendly, similar to the Macintosh. The goal is to address the common concerns that AI agents are too difficult to use and don't integrate well with existing tools.
Customer Service AI Agent [3:10]
Flo discusses the application of Lindy AI in customer support, highlighting a real-world example of a friend who is reducing customer support costs by replacing VAs with Lindy AI. The computer use feature enables AI agents to handle tasks beyond answering basic questions, such as checking order status on Shopify and issuing refunds on Stripe. AI agents offer consistency and reliability, operating on autopilot and allowing business owners to focus on other areas of their business.
Sales AI Agent [5:00]
Flo addresses the potential of AI SDRs (Sales Development Representatives), advising caution against overblown promises. While AI SDRs can be effective, they require human oversight and iteration to succeed. Flo suggests that AI SDRs should supplement human SDRs, making them more effective. Lindy AI's computer use feature enables AI SDRs to engage in multiple touchpoints, including email, text messages, phone calls, and LinkedIn DMs. Additionally, AI agents can nurture lost deals by monitoring for similar wins or new releases and reaching out to potential customers with relevant updates.
Live creation of a LinkedIn outreach agent [9:03]
Flo demonstrates the creation of a LinkedIn outreach agent from scratch. The agent is designed to send personalized DMs to LinkedIn profiles, asking if they are interested in AI agent services. Flo uses computer use to enable the agent to perform this task, highlighting that it often works better than API integrations. The agent is created by simply talking to it and specifying the desired actions, showcasing the ease of use of the agent builder.
Successful demonstration of the LinkedIn outreach agent [18:01]
Flo and Greg test the newly created LinkedIn outreach agent. The agent successfully accesses Greg's LinkedIn profile, crafts a personalized message, and sends it to him. The message references Greg's podcast and highlights the potential benefits of AI agents for his portfolio companies. Greg expresses his amazement at the agent's ability to generate such a relevant and well-written message.
Examples of complex agents developed through iteration [19:55]
Flo explains that AI agents can be further refined to perform more complex tasks, such as checking calendars and sending meeting invites. She emphasizes the importance of starting small and iterating on the agent's instructions to achieve the desired results. Flo showcases examples of complex agents she uses, including a chief of staff agent and a CRM manager agent, which automate various tasks and improve productivity.
Autonomous companies and future possibilities [22:40]
Flo discusses the potential for fully autonomous companies, where AI agents handle various business processes. She advises businesses to identify bottlenecks and areas where AI agents can improve efficiency and productivity. Flo shares an example of using AI agents to create and iterate on content for TikTok and Instagram. She believes that fully autonomous agentic companies could emerge within the next 12 to 24 months, as the building blocks are already in place.