5 AI Agents You Can Build Today (100% no-code)

Devin Kearns | CUSTOM AI STUDIO
8 Aug 202433:06

Summary

TLDRIn this informative script, the speaker discusses the creation of five distinct AI agents using no-code platforms, enabling non-programmers to build AI solutions for business efficiency. The agents include Personal, Lead Nurturing, Customer Success, Lead Enrichment, and Inbox Management agents, all designed to streamline tasks, improve margins, and reduce scaling costs. The talk highlights the use of tools like Open AI API, Pine Cone, and various databases to give these agents contextual understanding, showcasing practical applications and the potential to automate and optimize business operations.

Takeaways

  • πŸ§‘β€πŸ’» Building AI agents is accessible without deep programming or AI expertise; platforms like nadn are user-friendly for non-engineers.
  • πŸ” The use of Open AI's GPT-40 model and Pine Cone for vector databases helps AI agents understand context and complete tasks more accurately.
  • πŸ’° The primary goal of using AI agents is to increase business efficiency, reduce scaling costs, and potentially eliminate the need for additional hires.
  • πŸ› οΈ AI agents can be equipped with various tools such as email, calendar, Google Drive, and CRM to perform tasks like sending emails and scheduling meetings.
  • πŸ“… The 'Personal Agent' can execute actions based on user requests and can be accessed via platforms like Telegram for multi-step tasks.
  • 🌱 The 'Lead Nurturing Agent' is designed to engage with leads through personalized emails, potentially doubling revenue from existing leads.
  • 🀝 The 'Customer Success Agent' assists clients by answering questions, retrieving documents, and scheduling meetings, freeing up human customer success personnel for more complex tasks.
  • πŸ“Š The 'Lead Enrichment Agent' collects and summarizes information about leads to strengthen the effectiveness of the lead nurturing process.
  • πŸ“§ The 'Inbox Management Agent' categorizes and responds to incoming emails, reducing the time spent on email management for the user.
  • πŸ”§ Custom tools like 'Find LinkedIn Profiles' can be created to suit specific business needs, such as prospecting for new leads.
  • πŸ›‘ The importance of creating agents with clear, singular responsibilities to avoid overwhelming them with too many tasks and to streamline workflows.

Q & A

  • What are the five different AI agents mentioned in the transcript?

    -The five AI agents mentioned are the Personal Agent, Lead Nurturing Agent, Customer Success Agent, Lead Enrichment Agent, and Inbox Management Agent.

  • What is the primary function of the Personal Agent?

    -The Personal Agent is designed to execute actions upon the user's request, utilizing tools like email, calendar, Google Drive, and a database to complete tasks efficiently.

  • How does the Lead Nurturing Agent help in increasing revenue?

    -The Lead Nurturing Agent helps in increasing revenue by sending compelling and relevant sales engagement emails to warm leads, potentially capturing revenue from leads that would otherwise be overlooked.

  • What is the main objective of the Customer Success Agent?

    -The main objective of the Customer Success Agent is to answer questions, retrieve documents, and schedule meetings for clients, thereby allowing human customer success personnel to focus on higher-level tasks and relationship building.

  • What role does the Lead Enrichment Agent play in the sales process?

    -The Lead Enrichment Agent is responsible for gathering information about leads, such as from LinkedIn and Google searches, and saving it into the CRM, which helps in crafting more personalized and effective sales communications.

  • How does the Inbox Management Agent reduce the time spent on email?

    -The Inbox Management Agent categorizes incoming emails and responds to messages accordingly, reducing the time spent on email by automating responses and ensuring important emails are prioritized and attended to promptly.

  • What tools does the Personal Agent have access to, according to the transcript?

    -The Personal Agent has access to tools such as email, calendar, Google Drive, a calculator, Wikipedia, and a window buffer memory for contextual understanding of past conversations.

  • What is the significance of using a vector database like Pine Cone in building AI agents?

    -Pine Cone is used for the vector database to create a knowledge base for the agent, providing it with contextual understanding and awareness to accurately and effectively complete tasks.

  • How can AI agents help in reducing the need for hiring additional staff?

    -AI agents can automate repetitive tasks, handle customer inquiries, and manage workflows, which can lead to increased efficiency and reduced reliance on hiring more staff for certain roles.

  • What is the potential impact of AI agents on the future of hiring practices?

    -The future of hiring practices may shift towards hiring individuals with more experience and skills, as AI agents can take over roles that require less expertise, allowing human employees to focus on more strategic tasks.

  • Can you provide an example of a multi-step task performed by the Personal Agent?

    -An example of a multi-step task performed by the Personal Agent is sending an email to a contact and scheduling a meeting. The agent uses email actions to send the email and calendar actions to schedule the meeting.

  • What is the role of the 'Autof fixing output parser' tool mentioned in the transcript?

    -The 'Autof fixing output parser' tool is used to ensure that the agent outputs a very specific JSON package, which includes components like the recipient's email, message, subject line, etc., for the purpose of sending emails through a Gmail node.

  • How does the Lead Nurturing Agent determine which leads to contact?

    -The Lead Nurturing Agent is triggered when the CRM management agent identifies a lead that hasn't been contacted in the last seven days, ensuring regular touchpoints with leads.

  • What is the purpose of the 'Google search' tool in the Lead Enrichment Agent?

    -The 'Google search' tool in the Lead Enrichment Agent is used to find additional information about a lead, such as articles about the company or profiles of the founder or CEO, to provide extra context and enhance the personalization of sales communications.

  • How does the Customer Success Agent handle client inquiries?

    -The Customer Success Agent uses tools like Slack or email, calendar, Google Drive, and project management tools to quickly answer questions, retrieve documents, or schedule meetings for clients, streamlining the process and allowing human customer success personnel to focus on more complex issues.

  • What is the purpose of the 'LinkedIn scraper' tool in the Lead Enrichment Agent?

    -The 'LinkedIn scraper' tool is used to gather publicly available information from LinkedIn profiles of leads and summarize it, adding it to the CRM for better understanding and personalization of sales approaches.

  • What is the role of the 'Categorize' tool in the Inbox Management Agent?

    -The 'Categorize' tool in the Inbox Management Agent is responsible for sorting incoming emails into appropriate categories, such as promotions, leads, or sales emails, to streamline the email management process.

  • How does the 'Notify' tool work in the Inbox Management Agent?

    -The 'Notify' tool in the Inbox Management Agent is used to alert the user or the relevant person when an email requires a response, especially for high-priority or urgent messages, ensuring timely communication.

  • What is the purpose of the 'Find LinkedIn profiles' tool mentioned in the transcript?

    -The 'Find LinkedIn profiles' tool is used to search for and compile a list of LinkedIn profiles based on specific parameters, such as job title, location, and industry, to aid in prospecting and lead generation.

Outlines

00:00

πŸ€– Introduction to AI Agents for Business Efficiency

The video script introduces the concept of building AI agents using no-code platforms, which simplifies the process for non-programmers and non-AI engineers. It discusses the use of no-code tools like N8n for building agents and the OpenAI API for leveraging the GPT-4 model. The purpose of these AI agents is to assist businesses in increasing revenue, reducing costs, and potentially eliminating the need for hiring additional staff for certain roles. The script outlines five different types of AI agents that can be built: personal agent, lead nurturing agent, customer success agent, lead enrichment agent, and inbox management agent, each tailored to specific business tasks and processes.

05:02

πŸ“§ Personal Agent for Task Automation and Efficiency

This paragraph delves into the functionality of the personal AI agent, which is designed to execute actions based on user requests. The personal agent has access to tools like email, calendar, Google Drive, and a database to perform tasks such as sending emails, managing calendar events, and retrieving documents. The script demonstrates how the personal agent can be accessed via Telegram and how it uses the OpenAI chat model to understand and carry out multi-step tasks, such as sending an email and scheduling a meeting. The personal agent is highlighted as a valuable tool for business owners and managers to automate routine tasks and free up time for more strategic activities.

10:05

🌱 Lead Nurturing Agent for Engaging Warm Leads

The script explains the role of the lead nurturing AI agent, which is tasked with sending engaging and relevant sales emails to warm leads. The agent uses tools like email, Google Drive, and CRM to personalize communication and potentially increase revenue from leads who have previously engaged with the business. It discusses the common challenge faced by agency owners and solo founders in maintaining consistent touchpoints with leads and how the lead nurturing agent can automate this process, ensuring that leads receive regular, personalized communication that could lead to conversions.

15:06

πŸ’Ό Customer Success Agent for Client Support and Relationship Building

The customer success AI agent is introduced as a tool for answering client queries, retrieving documents, and scheduling meetings. This agent is designed to be customized for each client, giving them access only to relevant documents and project management tools specific to their account. The script highlights how this agent can help customer success teams focus on building relationships and providing high-level solutions by handling routine queries and document retrieval, thereby increasing client satisfaction and potentially allowing teams to manage more clients with fewer resources.

20:06

πŸ”Ž Lead Enrichment Agent for Enhancing Lead Data

The lead enrichment agent is described as a crucial component in the lead nurturing process. This agent is responsible for gathering information about leads using tools like Google search, website scrapers, and LinkedIn scrapers, and then saving this data into the CRM. The script emphasizes the importance of this agent in providing the lead nurturing agent with the necessary context and information to send out personalized and effective emails, as well as equipping sales teams with the knowledge needed for productive sales calls.

25:10

πŸ“¬ Inbox Management Agent for Streamlining Email Workflows

The script introduces the inbox management AI agent, designed to manage incoming emails by categorizing and responding to them accordingly. The agent uses email actions and interacts with other agents like the lead qualification agent for lead-related emails. It is highlighted as a tool that can significantly reduce the time spent on email management, allowing business owners to focus on more critical tasks. The agent's role is to ensure that emails are not just responded to but also appropriately categorized and directed to the relevant agents or tools for further action.

30:11

πŸ› οΈ Custom Tools for Prospecting and Business Growth

The final paragraph showcases the flexibility and potential of creating custom tools for specific business needs. An example is given of a tool that can search for and compile LinkedIn profiles based on specific parameters, such as job title and location. The script demonstrates how this tool can quickly generate a list of prospects, which can then be used for outreach or further sales processes. The paragraph emphasizes the importance of tailoring AI agents and tools to the unique requirements of one's business to maximize efficiency and growth.

Mindmap

Keywords

πŸ’‘AI agents

AI agents, as discussed in the video, are autonomous systems capable of performing tasks without the need for constant human intervention. They are integral to the video's theme, which is about leveraging AI to streamline business operations. Examples from the script include personal agents, lead nurturing agents, and customer success agents, each designed to automate specific business processes.

πŸ’‘No-code platforms

No-code platforms are tools that allow users to build applications or systems without writing code. They are central to the video's narrative as they democratize AI agent creation, making it accessible to non-programmers. The script mentions using no-code platforms like 'nadn' to build AI agents, emphasizing the ease of use and quick learning curve.

πŸ’‘Open AI API

The Open AI API is a service that provides access to advanced AI models, such as the GPT-40 model mentioned in the script. It is a key component in building AI agents, offering the underlying technology for natural language processing capabilities, which is crucial for tasks like email communication and data retrieval within the agents discussed in the video.

πŸ’‘Pine cone

Pine cone is a vector database mentioned in the script, used to create a knowledge base for AI agents. It is essential for providing contextual understanding and awareness to the agents, enabling them to complete tasks accurately. The script illustrates its use in storing contact information, which is a frequently requested piece of data for task completion.

πŸ’‘Lead nurturing

Lead nurturing refers to the process of engaging with potential customers to build relationships and trust over time. In the video, the lead nurturing agent is designed to send personalized emails to warm leads, aiming to convert them into customers. The script discusses the importance of nurturing leads to capture hidden revenue within a CRM.

πŸ’‘Customer success

Customer success is a concept focused on ensuring customers achieve their desired outcomes while using a company's products or services. The customer success agent in the script is designed to answer questions, retrieve documents, and schedule meetings for clients, thereby enhancing the customer experience and reducing the workload on human customer success teams.

πŸ’‘Lead enrichment

Lead enrichment involves gathering and adding more information about leads to a CRM to better understand their needs and preferences. The script describes a lead enrichment agent tasked with finding information about leads, such as from LinkedIn and Google searches, and updating the CRM to aid in more effective lead nurturing and sales strategies.

πŸ’‘Inbox management

Inbox management is the process of organizing and responding to emails efficiently. The script introduces an inbox management agent designed to categorize incoming emails and trigger responses or further actions by other agents. This concept is crucial for reducing the time spent on email handling, allowing for a more streamlined workflow.

πŸ’‘CRM

CRM, or Customer Relationship Management, systems are used to manage interactions with customers and potential customers. In the video, the CRM is highlighted as a tool integrated with various AI agents to store and access customer data, facilitating personalized communication and improving business processes.

πŸ’‘Google Drive

Google Drive is a cloud storage service that allows users to store, share, and access documents online. The script mentions Google Drive as a tool given to AI agents to pull documents when needed, such as retrieving a YouTube description template, showcasing its utility in automating document retrieval tasks.

πŸ’‘Telegram

Telegram is a cloud-based instant messaging service that the script mentions as a platform for interacting with the personal AI agent. Users can send messages to trigger the agent to perform tasks, demonstrating the integration of AI agents with common communication tools for ease of use.

Highlights

No-code platforms enable anyone to build AI agents without programming skills.

NAND and Open AI API are used to build AI agents with contextual understanding.

Pine cone vector database is utilized for knowledge base creation.

AI agents can increase business margins, reduce scaling costs, and eliminate the need for hiring more staff.

Five different AI agents discussed: Personal, Lead Nurturing, Customer Success, Lead Enrichment, and Inbox Management.

Personal AI agents can perform actions like email sending, calendar management, and document retrieval.

Lead Nurturing agents send personalized emails to engage warm leads and increase revenue.

Customer Success agents handle client queries to free up human customer success personnel for higher-level tasks.

Lead Enrichment agents gather information about leads to enhance the effectiveness of Lead Nurturing agents.

Inbox Management agents categorize and respond to emails, reducing the need for manual inbox management.

Agents can be triggered by other agents or direct user commands to perform specific tasks.

Common tools across agents include email, calendar, Google Drive, and CRM for streamlined workflows.

Agents can be customized with additional tools for specific business needs.

AI agents can improve efficiency, allowing for better task management and time savings.

Agents can be built to work together, creating a network of AI that enhances business operations.

Examples of unique tools like LinkedIn profile scrapers for lead generation are highlighted.

The flexibility of AI agents allows for the creation of custom workflows tailored to specific business processes.

AI agents represent a new space with evolving frameworks and processes, offering immense potential for business optimization.

Transcripts

play00:00

talk about five different AI agents that

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you can build today and theoretically

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anybody can build these agents we use no

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code platforms so you don't need to be a

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programmer you don't need to know how to

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code you don't need to be an AI engineer

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um you can learn these platforms pretty

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quickly we use nadn to primarily build

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our agents and the tools that go along

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with them we use open AI API to get

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their gp40 model and we use pine cone

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for the vector database where we create

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the knowledge base for the agent so it

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has the contextual understanding and

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awareness to accurately and effectively

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and reliably complete tasks right

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obviously if you did know how to code

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obviously if you were an engineer you

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can probably get more out of these

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platforms but we're just looking to use

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these agents to help our businesses make

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more money increase our margins decrease

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the cost to scale overall and hopefully

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eliminate the need to increase headcount

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in order to scale right we want to get

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to a point where we're no longer hiring

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people

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for roles where it's almost like you're

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hiring them to maintain where you're

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currently at right like you've reached a

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certain point where the bandwidth is

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getting insane maybe you're taking on

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more clients or maybe you uh there's

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like some initiatives that you want to

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do like combing through a lead list

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following up with leads you know some

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things that you just that are on your

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to-do list but you haven't got to yet

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and you're thinking oh man maybe I need

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to hire a virtual assistant or maybe I

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need to hire an SDR or maybe I need to

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hire a personal assistant right instead

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of hiring people like that

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I think the future is going to be AI

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agents instead and then the people that

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you do hire are people that probably

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will cost more but you'll have the

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margins to pay for to pay for them right

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to afford them um but they come with

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more experience and more skills and

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themselves can be a lot more leverage on

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your business than hiring maybe like a

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virtual assistant or someone where we

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can kind of replace their role um by

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using Ai and AI agents right so the five

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different agents that we're going to get

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into today are the personal agent lead

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nurturing agent customer success agent

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lead enrichment agent and inbox

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management agent okay we'll get into the

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details on all of these so the personal

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agent is U one that I use um almost

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every day it's supposed to execute

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actions upon the users's request and the

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tools that it has are email calendar

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Google Drive and update database I'm

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going to add some other tools to it like

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CRM and project management as well um

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but for now these are the tools that it

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has and it looks like this

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and we can actually just go ahead and

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take a look at it in nadn so we can see

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under the hood what it looks

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like um and before I do that I created

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this project here just to put kind of

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demo agents and tools um so we can just

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like see them right but you can see the

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ones with Bots are agents with the bot

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emoji and then the ones with the hammer

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and wrench are the actual tools right so

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we build our agents and our tools all in

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one place makes it super super easy to

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just get in there um add add a new tool

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to an agent build an agent really

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quickly if you need like a workflow to

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be fulfilled you can build an agent in

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an afternoon right um so it's just like

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a One-Stop shop this is inen just a

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One-Stop shop for building agents so

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let's get into it personal

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agent so let's get into each of the

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components

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here I primarily access this agent via

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telegram so I just have a telegram

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Channel every time I send a message it

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triggers this agent to go and do

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something um so I'll send a message it

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triggers the agent the agent decides

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like what it needs to do right and we

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give it access to obviously the open AI

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chat model here so it can you know be an

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ai ai agent um and then I give it like

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calculator and Wikipedia just you know

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just in case like I want to calculate

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something or pull something from

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Wikipedia why not um and the window

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buffer memory this actually gives it

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context of the past conversations that

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I've had with the agent um so like up to

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like 20 messages at least that's where I

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said it it's like 20 messages in the

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telegram Channel where I talk with the

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agent it still has access to those

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conversations so it it like if there's a

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normal flow like if I said like um hey

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what's Andrew's email okay it pulled it

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it'd be like okay um can you actually

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like send him uh can you actually send

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his email to um you know John you know

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let y'all know that this is an email or

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something right so like something where

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it's like um you know you asked to to do

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something and then it's like using that

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context to go and do the next thing

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right uh and then we give it its tools

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so here where it says context data pine

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cone Vector store this is the knowledge

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base uh for the agent and primarily the

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agent is accessing this this knowledge

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base to retrieve like contact

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information uh that what we found is is

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contact information is like by far the

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most uh requested like piece of

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information in order to complete tasks

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um so in this case I get I give it

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specifically like contact information

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right and then we have obviously email

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actions so send an email uh get an email

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reply to an email Etc calendar actions

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updated datab or update a calendar event

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create a calender event delete an event

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Etc updated database so this allows me

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to like manually add things to the uh

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Vector store to the knowledge base so

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comes in handy when I'm at like a

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networking event or like a conference or

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something and I'm talking with some

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and you know they've indicated some

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interest in like getting involved with

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agents or whatever and working with our

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team and I want to like save their

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information in our CRM and also in the

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knowledge base so I'll just say like in

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the telegram like hey can you add uh you

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know Jane Smith here's her email to the

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uh to the database and it'll go and like

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update the database with their

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information right um and then Google

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Drive so obviously it'll pull documents

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from our Google Drive if I need the

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documents right so like hey can you get

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me the YouTube description template boom

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gives me the template like right

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away um and like so let's see this thing

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in action all right so I have telegram

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open here on my

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desktop um let's let's do a uh a

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multi-step task so we can kind of see

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the scope of what it's capable of doing

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so let me say

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um send an email to

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Andrew and ask him if he finished

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the elite digital

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proposal Osco schedule

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time to meet with

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him uh for tomorrow at let's call it 6

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PM okay so multi-step task right we want

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to send an email to him and we also want

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to schedule a time to meet so the agent

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should be working with uh email actions

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and calendar actions okay so let me test

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workflow

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so the agent is running it's using the

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open AI chat model to obviously

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understand what I just said right now

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it's using email action so it's going to

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send him an email and ask him if he

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finished the proposal for elite digital

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looks like that worked great now it's

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going to schedule the calendar event for

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tomorrow at 6 I think is what I said

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yeah boom that worked awesome and let's

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see what it said it said I've sent an

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email to Andrew Lewis asking if you

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finish the elite digital proposal a

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meeting has been scheduled for him

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tomorrow at 6m you can view that event

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here so let me click

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it just to check its work why

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not okay it looks like it did I've done

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this a couple of times sering a couple

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um but obviously this was the 6m one

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discussed the completion status of elite

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digital awesome cool so it did it um and

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then obviously like I could show we

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could show more things let's see if the

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was sent I think it was because it has

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it

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there and it was awesome I hope this

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message finds you well I finished the

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have you finished the elite digital

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proposal also can we schedule a time to

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meet tomorrow at 6m best regards awesome

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Okay cool so everything was sent

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properly um and that should give you an

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idea of how the personal agent Works um

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I like this one a lot because it it only

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acts when you tell it to act and um you

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can give it as many tools as you want

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right there is a moment where it becomes

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like kind of tool overload for the agent

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um but for this scenario like the fact

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that you're kind of telling it

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explicitly what to do uh it makes it

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easier for the agent to kind of

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understand which tools to use and when

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right uh so that's the personal agent I

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think any any founder any uh manager

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even um and pretty much anybody like any

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team member period probably should have

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one of these just as a personal agent to

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retrieve documents retrieve information

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um and then like quickly do easy tasks

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um that you know they would have to

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like and they would have to like log

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into their inbox or log into their

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calendar but what what I was going to

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say is like it's not like these things

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are taking up too much of your time but

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they do add up right a majority of our

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time is spent in our inbox and in our

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calendar so if we can kind of eliminate

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a couple of different things here and

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there it does start to add up as a as a

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positive so let's move on that was the

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personal agents again something I use uh

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almost every day especally when I'm on

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the road or or moving around uh lead

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nurturing agent so this one is designed

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to send compelling and relevant sales

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engagement emails to warm leads tools

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are email Google Drive and CRM so this

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one we created because a a very common

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um paino from agency owners or solo

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Founders or people with kind of like

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small teams is they have this lead list

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they have this this uh somewhat massive

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list of leads of people who have like

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somewhat engaged with them or their

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content or lead magnets or their ads at

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some point right and they know that if

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they just like went through that list

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consistently like every week and emailed

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everybody and sent a very personalized

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touch point and maybe sent um pieces of

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content or case studies that they think

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would be

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relevant to the lead that they would be

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able to capture more revenue from their

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leads right too many agency owners or

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Sol Founders end up in this cycle and it

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makes sense because you just don't have

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the timer bandwidth but they end up in

play10:27

the cycle where you run an ad or you run

play10:30

a piece of content or a lead Magnet or

play10:32

something and you kind of expect that uh

play10:35

people see that and then they

play10:36

immediately book a call and then you hop

play10:38

on the call and then you close them um

play10:40

but the reality is that a lot of people

play10:41

aren't ready to buy right then there's a

play10:44

nurturing window that needs to happen

play10:47

and if you just don't have the bandwidth

play10:48

or or the time you're not getting those

play10:50

touch points in you're not nurturing

play10:52

properly right um also what can happen

play10:54

is maybe you have a lot of leads in

play10:56

there that aren't qualified for your

play10:58

recurring service offer but they might

play11:01

be buy they might be able to buy like

play11:02

the ebook that you offer the $20 ebook

play11:04

right so like your lower ticket offer or

play11:06

maybe that they'd be willing to buy your

play11:08

$2,500 course on what you do right

play11:10

medium ticket offer um there's a lot of

play11:13

cases where people are fans of yours or

play11:14

like what you're doing but they just

play11:17

can't afford your high ticket stuff

play11:19

right or they just don't need it but

play11:20

they want to learn more and they're

play11:21

willing to to pay money right so the

play11:24

lead nurturing agent is really good at

play11:26

capturing that Revenue that's in your CR

play11:29

right it can almost double your Revenue

play11:31

at times because you don't know how many

play11:32

people are in there as silent fans who

play11:35

are watching uh you know every piece of

play11:37

content that you post and they're just

play11:39

not going to buy they're just never

play11:40

going to buy the high ticket thing from

play11:41

you but they're learning a lot from you

play11:42

and they're willing to buy something um

play11:45

that might be a lot cheaper but still

play11:46

provides value and so we want to make

play11:48

sure that we get get that in front of

play11:49

them right um and that one looks like

play11:53

this uh and we'll hop into nadn and just

play11:58

take a look at it

play12:00

as well why

play12:02

not lead nurturing agent

play12:07

cool um I don't know if I said this but

play12:09

I basically just like put a bunch of the

play12:11

agents that we have into like this uh

play12:13

one project here as demo versions so um

play12:17

that's why you see some of these as like

play12:18

deactivated and stuff we just don't want

play12:20

them running or anything to like break

play12:23

just because I'm I'm showing demos but

play12:24

anyway the lead nurturing agent gets

play12:26

triggered from other agents so we have

play12:29

an inbox management agent that we'll get

play12:30

into later and whenever an email comes

play12:32

in that's from a lead it kicks it to the

play12:36

lead nurturing agent um actually that's

play12:39

not true it it kicks it to the lead

play12:41

qualification agent the lead nurturing

play12:43

agent gets triggered whenever the CRM

play12:46

management agent sees a lead that hasn't

play12:49

been contacted in the last seven days so

play12:51

that one is designed to uh review the

play12:54

CRM like every hour if there's any lead

play12:57

in there who hasn't been who hasn't

play12:59

received a touch point in 7 days it

play13:01

sends that lead and all of their

play13:02

information from the CRM it sends that

play13:04

to the lead nurturing agent and then the

play13:06

lead nurturing agent obviously uses the

play13:09

database uh to retrieve any data that it

play13:12

needs right like it it probably like

play13:15

usually it doesn't actually need to

play13:16

access the database in this case but um

play13:18

sometimes it does because you know you

play13:21

have like specific it depends how many

play13:22

Like rules you have or um what your

play13:25

content preferences are or how large

play13:28

your brand document is um so like you

play13:32

know in some cases you can kind of like

play13:34

tell the agent how to craft emails and

play13:36

and messages just like in the prompt but

play13:38

a lot of times like it's it's a lot of

play13:40

data and you just want to put that in a

play13:42

database so it's more efficient so

play13:44

that's why we have the database here um

play13:46

this right here the autof fixing output

play13:47

parser so we need the agent to Output a

play13:52

very specific uh Json package so that

play13:55

way we can actually like put each of

play13:58

those components like who's the email

play14:00

going to like what's their address

play14:02

what's the message what's the subject

play14:04

line Etc so we can put that stuff into

play14:07

like a Gmail node that'll actually like

play14:09

send the email right so we just got to

play14:11

make sure that the output comes out

play14:12

perfectly so we use this and then here

play14:15

are the tools right CRM Google Drive

play14:16

email actions and you're probably going

play14:19

to see a pattern here we reuse the same

play14:22

tools for a lot of these agents um you

play14:26

the reality is like every agency has

play14:30

almost the same text stack which is like

play14:32

email calendar project management stuff

play14:34

like software um and then like a

play14:36

database of sorts for their documents

play14:38

like Google drive or notion or one drive

play14:39

or Dropbox or whatever um and then you

play14:42

have like platform specific stuff just

play14:44

depending on what kind of agency you are

play14:46

like what exactly you offer but we all

play14:48

have the same stuff right email and

play14:50

calendar like we all have that so you're

play14:52

going to see a lot of the same tools

play14:53

being used with different agents um so

play14:56

yeah that's the lead nurturing agent

play14:58

super crucial to capturing more Revenue

play15:01

that's in your lead list that's just

play15:02

hidden there right people who are ready

play15:04

to buy but they just haven't got enough

play15:05

touch points from you they haven't

play15:07

gotten enough touch points from you uh

play15:09

nor have you gotten the right offer in

play15:11

front of them at the right time customer

play15:14

success agent so this one's objective is

play15:16

to answer questions retrieve documents

play15:17

and schedule meetings for a client uh

play15:20

the tools that it has is slack or email

play15:22

usually both uh maybe not both calendar

play15:26

Google Drive and then trer or like

play15:28

project management stuff so this one's

play15:30

designed to be uh a custom agent for

play15:33

each client that you have so if you have

play15:36

30 clients all 30 clients will have

play15:37

their own customer success agent that

play15:40

only has access to the documents or like

play15:43

the folder in Google Drive that has all

play15:44

of their stuff right and then um the

play15:48

actual like project management stuff

play15:50

that has to do with that specific client

play15:52

and then any kind of like other

play15:53

additional information uh just

play15:55

specifically about that client so if

play15:57

ever the client is asking like for just

play16:00

an easy easily answerable qu question or

play16:03

to retrieve some kind of document or

play16:05

anything that can be like really quick

play16:06

and automated the agent steps in and

play16:08

handles that and it allows your actual

play16:10

customer success person to focus more on

play16:13

like building the relationship or

play16:15

providing uh higher level solutions to

play16:18

whatever problems that are happening um

play16:20

it also allows them to have the

play16:22

bandwidth to handle more clients so you

play16:23

don't need to hire as many customer

play16:25

success people because a lot probably

play16:27

about like 40 to 50% of the queries that

play16:29

are coming in from your clients are

play16:31

being handled by their specific agent

play16:33

right it also reduces turn they're

play16:35

getting their answers they're getting

play16:36

their documents that they need much much

play16:38

quicker from you because they're

play16:40

speaking with an agent right um and

play16:42

there might be a little bit of a a habit

play16:44

change or learning curve or process

play16:46

change to some clients like people

play16:47

aren't necessarily used to working with

play16:50

AI agents you know directly um but like

play16:53

what I've seen is like after a couple

play16:55

days or like a week of like using it and

play16:57

the agent just provid in the answer or

play16:59

providing the document right away people

play17:01

really start to um like enjoy it and and

play17:05

and almost be upset if we were to like

play17:06

take it away right it's such a huge

play17:08

asset um and this one looks like this

play17:12

let's just go ahead and hop in I don't

play17:14

even know why I put the pictures on

play17:16

here um because I'd rather just show it

play17:19

in the

play17:20

actual platform like where it is um

play17:23

let's see where's this one CX agent yeah

play17:31

okay so um we primarily use slack

play17:34

deactivated it because I don't want

play17:35

anything whatever I just don't want this

play17:37

agent to get triggered um so if anything

play17:40

is like sent into the slack this gets

play17:43

triggered and the agent kind of decides

play17:46

like first of all do I need to answer

play17:47

this um if I do need to answer it can I

play17:51

actually answer it do I have the tools

play17:52

and the ability and the knowledge base

play17:54

to answer it um and if I can let me go

play17:57

ahead and answer it right uh and then we

play17:59

have execute workflow trigger so

play18:02

sometimes your customer success person

play18:05

which a lot of times is you but your

play18:08

customer success person will have a

play18:09

personal agent of their own and so

play18:11

they'll tell their personal agent like

play18:14

uh oh man I forgot to send the uh

play18:17

proposal or the uh the new scope to the

play18:20

new s so to uh you know this this client

play18:25

um can you make sure that that gets sent

play18:28

and so the personal agent will trigger

play18:30

the uh specific customer success agent

play18:34

to send that document

play18:36

right um so that's how we like there's

play18:38

there's ways to connect these agents

play18:40

together to have them work together but

play18:42

we try to keep that as simplified as

play18:43

possible um and but we'll get into some

play18:46

of that later when I do videos on like

play18:47

architecture and and designing how they

play18:49

should work together and whatnot best

play18:51

practices um but the components of this

play18:53

are the same like we give all of our

play18:54

agents a database and then calendar

play18:57

actions again Google Drive actions again

play18:59

a SAA for like project management and

play19:02

then email actions again right like I

play19:04

said these tools they start to repeat

play19:08

themselves because there's just like

play19:09

common workflows common tools that

play19:11

everybody

play19:12

uses lead enrichment agent so this one's

play19:15

key because it helps your Le uh lead

play19:17

nurturing agent actually do a good job

play19:19

right and not just send like a generic

play19:22

uh like marketing email that just gets

play19:23

sent to spam and nobody really reads the

play19:25

lead enrichment agent is basically

play19:27

responsible for finding information

play19:29

about that lead uh about all of our

play19:31

leads and saving that into the CRM and

play19:34

so the tools we give it are Google

play19:35

search website scraper LinkedIn scraper

play19:38

and

play19:39

CRM um and this one looks like this so

play19:43

let's let's go back into inate

play19:46

in and let's take a

play19:49

look uh which one which one are we doing

play19:52

enrichment lead

play19:56

enrichment okay so this one

play19:59

we're using Google Sheets um for our CRM

play20:02

for now just no need to there just

play20:05

hasn't been a need to like get a real

play20:06

CRM yet um but anyway same thing here we

play20:10

give it the vector stored the database

play20:13

then we give it a LinkedIn scraper so

play20:14

this tool will obviously go and scrape

play20:17

uh any information you can find on

play20:18

LinkedIn LinkedIn has some um pretty

play20:22

harsh restrictions on scraping their

play20:24

website understandably so um but they do

play20:27

allow like public like even if you're

play20:28

not signed in to to LinkedIn there is

play20:30

publicly available information that they

play20:33

they put um so we can get we can at

play20:35

least get that information then there's

play20:36

some third party tools where you can

play20:38

gain access like extensions and whatnot

play20:40

but I swear like every extension that

play20:43

I've used um eventually just gets my

play20:46

account like somewhat flagged or or

play20:48

temporarily banned or something um and

play20:51

so it's it's kind of it's it's um it

play20:54

scared me away from using like third

play20:55

party tools uh for LinkedIn specifically

play20:58

but you know I've been I've been trying

play20:59

to do that LinkedIn stuff for a while so

play21:02

maybe things have gotten better but

play21:04

LinkedIn scraper obviously pulls

play21:06

information about LinkedIn summarizes it

play21:07

and puts it into the CRM CRM this is

play21:10

just to put stuff into the CRM right um

play21:12

website scraper this will go to their

play21:14

website scrape it summarize put it into

play21:17

CRM and then the Ser API this is just to

play21:20

be able to do like Google search so

play21:22

sometimes we just have it Go and like do

play21:23

a Google search of the person and like

play21:24

the company see if there's any like

play21:26

articles that were written about the

play21:28

company or profiles about the founder or

play21:31

CEO um that we might want to reference

play21:33

or pull in for just additional contexts

play21:35

about the person um and then obviously

play21:37

add that information to the CRM so this

play21:40

one's job is like very key in the whole

play21:42

process and that it actually gives us

play21:44

that that extra Edge that extra those

play21:46

extra pieces of information that make

play21:48

the emails that are being sent out by

play21:50

the lead nurturing agent that much

play21:52

stronger right and then also like for

play21:54

anybody who's on our sales

play21:55

team all this information is being saved

play21:58

in the CRM so like you know you're

play22:00

hopping on a sales call they're the

play22:02

salesperson's like personal agent is

play22:04

drafting like a brief about the person

play22:06

and about the the account and sending it

play22:09

to the to the salesperson 30 minutes

play22:10

before the meeting and all the

play22:12

information from the CRM is very

play22:14

important right like the salesperson

play22:15

needs to know this stuff in order to

play22:17

have a really good uh and productive

play22:19

call so this one's really really key

play22:22

just in terms of information gathering

play22:24

and making each of us smarter when we

play22:26

hop on sales calls or hop on calls with

play22:27

our clients

play22:31

okay last one here inbox management

play22:33

agent I think everybody should have this

play22:34

one um I I'm like hardly in my inbox now

play22:38

because of the agents that I've set up

play22:40

and uh it's been nice um it used to be

play22:43

like every day I would just like the

play22:44

first thing I do is go into my email and

play22:46

answer a bunch of emails and um eyes

play22:48

constantly on my email account and like

play22:51

uh or my inbox and I'm like you know

play22:53

trying to get in there and answer answer

play22:54

emails really fast and uh I still like

play22:56

to answer emails fast but

play22:58

I'm hardly actually in my inbox anymore

play23:01

if I get an email goes to my telegram my

play23:02

agent lets me know um if it's an email

play23:06

that I don't need to respond to and an

play23:08

agent can respond to the agent will

play23:09

respond right and it's also

play23:12

categorizing like okay this is promo

play23:14

let's get that out of here this is a

play23:15

lead let's make sure someone responds to

play23:18

this uh this is a sales email like

play23:20

someone's sending us let's put this in a

play23:22

label in a folder uh let's label it tag

play23:25

it appropriately in case we want to like

play23:26

reach out to that vendor at some point

play23:27

right um and so obviously this agent is

play23:30

managing the founders inbox not just the

play23:32

founder but anybody's inbox and

play23:34

categorize and responds to messages

play23:35

accordingly we give it email actions we

play23:38

also give it other agents so this one is

play23:40

really responsible for uh dishing out

play23:43

what needs to happen so like a leag

play23:44

comes in it sends it to a lead

play23:46

qualification agent so it can like book

play23:48

The call right if the leag comes in

play23:49

interested leag qualification agent is

play23:52

the one who will actually have the

play23:53

conversation and then schedule the thing

play23:55

at the end the inbox management agent

play23:57

will not do that it's not actually

play23:59

responsible for handling anything to do

play24:01

with leads it just handles like very

play24:03

basic responses that need to happen and

play24:05

frankly it hardly responses like let's

play24:07

be real it's hardly respond responding

play24:09

to emails um it's mainly just kind of

play24:12

like triggering agents other agents that

play24:14

need to be triggered to do something or

play24:15

just categorizing the uh emails and then

play24:19

we obviously give it CRM and

play24:20

categorization tools so we I say

play24:22

categorization tools because um there's

play24:24

like specific ways we want to categorize

play24:27

everything and in instead of like giving

play24:29

the agent a ton of like rule sets for

play24:31

how to categorize stuff we're just going

play24:33

to create a tool that can that will

play24:36

handle those rules for it right like we

play24:38

want to like the agent's only job

play24:40

realistically is to um

play24:44

identify identify the email and then

play24:47

determine what exactly it's supposed to

play24:50

do like reason what exactly is supposed

play24:51

to happen once it's read that email or

play24:54

what it needs to do with that email

play24:55

right um it's not supposed to like if

play24:58

it's like okay we need to categorize

play25:00

this tool we need to categorize this

play25:02

email okay go send it categorize and

play25:05

then we also need to um trigger the lead

play25:09

uh nurturing or the lead enrichment

play25:11

agent or no the lead qualification agent

play25:14

um maybe we need better names for these

play25:16

but the lead qualification agent to like

play25:18

respond to this lead like okay go do

play25:20

that instead of like oh we need to

play25:21

respond to this lead with a really um

play25:23

wellth thought out compelling message

play25:25

with content pieces um as well as C

play25:28

categorizing the email in this perfectly

play25:30

in this exact way like we basically what

play25:33

I'm trying to say is we just don't want

play25:34

to give it too much to handle we want to

play25:37

give it a very clear like this this is

play25:39

your this is exactly what you're

play25:40

supposed to do and any of the additional

play25:43

stuff the details that are part of that

play25:44

are going to be handled by the tools

play25:46

themselves right not by the agent um

play25:48

that seems to be work the best for us if

play25:50

any of you guys are building agents and

play25:52

you have better processes around this

play25:54

stuff please let me know this is

play25:55

obviously a new space people are

play25:57

learning building their own frame works

play25:58

and their own processes and and Sops

play26:00

around it so um you know things are

play26:04

constantly evolving

play26:05

here but this one looks like this um

play26:09

and I'm not going to go into it I can

play26:11

just do it from here um actually I will

play26:14

it'll just be bigger for you guys to

play26:21

see uh you can see lead qualification

play26:23

this was the one I was talking about uh

play26:25

kept getting mixed up so inbox

play26:27

management

play26:33

okay so this one gets triggered off

play26:35

Gmail right so any message that comes in

play26:37

boom this one's the first thing that

play26:39

like this this is the agent that sees it

play26:41

first right sees it before me sees it

play26:43

before anybody else usually right and

play26:45

then it kind of it has the vector store

play26:47

it understands like contact data so if

play26:49

it's it if it uh is a lead or something

play26:52

that information will be in the database

play26:54

and so it'll be able to say like oh okay

play26:56

this is a lead right um

play26:59

let me kick that to the lead

play27:00

qualification

play27:01

agent uh then we also have reply to an

play27:04

email this is basically email actions

play27:07

but I've kind of simplified this tool in

play27:09

particular for this agent because all

play27:11

it's doing is replying to an email it's

play27:14

not going to be like it's just not going

play27:16

to be doing like that much else um but I

play27:19

actually might change this to all email

play27:20

actions just in case it like we want to

play27:22

add some new rules to it um I might

play27:25

change it to email actions but like I

play27:27

said it it's actually hardly replying to

play27:28

an email anyway so maybe it won't matter

play27:32

uh categorize so this handles all the

play27:34

categorization so when you're when it's

play27:36

like okay the the uh inbox management

play27:38

agent its job is to categorize all the

play27:40

emails that come in it's like okay the

play27:42

agent itself isn't actually doing the

play27:43

categorizing it's not it's not saying

play27:45

like oh this was a promo email like

play27:47

Market as promo like it's just saying

play27:49

like oh I need to categorize send it to

play27:51

the categorize tool and the categorize

play27:52

tool will handle all that right uh CRM

play27:56

obviously lead qualification agent that

play27:58

was mentioning and then notify so this

play28:00

is just to notify me or whoever's inbox

play28:03

it is that they need to respond right so

play28:05

after it's categorize it's like oh man

play28:07

this is high priority super urgent

play28:09

notify me right so it has those rules in

play28:12

place to do

play28:14

that um and I kind of just quickly that

play28:17

was the last one but just like before we

play28:20

end the video I just want to dive into

play28:22

the tools just a little bit um like some

play28:26

of the tools I didn't even talk about

play28:27

like fin LinkedIn profiles this is a

play28:29

good one like this this tool right here

play28:31

will basically be like if I say

play28:35

um if I

play28:38

say let me just show you let me just

play28:40

show you uh let me pull up the sheet so

play28:45

basically what okay I got the sheet

play28:48

pulled up this is like so basically what

play28:50

this uh tool does is it I I basically

play28:53

say like um hey can you give me a list

play28:56

of um LinkedIn profiles

play28:58

for uh Founders in AI who are located in

play29:03

Los

play29:04

Angeles um and it'll go and it'll it'll

play29:06

basically just like do a Google search

play29:09

for LinkedIn profiles based on those

play29:11

parameters grab as many as I said to get

play29:14

like let's say I said 100 it would grab

play29:15

100 um and it would put them in the

play29:17

sheet and it it would also like Define

play29:20

like what I did so like I did a couple

play29:22

of test runs earlier and it's like okay

play29:24

LinkedIn search results for founder

play29:25

United States search results for founder

play29:27

new y city um for project manager for

play29:31

agency so like let's say let's see it in

play29:34

action let's say I said

play29:38

um I'm to test it out and say

play29:42

like give me a list of let's say

play29:47

300 uh

play29:49

Founders located in let's say

play29:53

Dubai um who work in AI

play29:59

um yeah that works so we do

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chat and then we can see the tool

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working

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here and then it's obviously going to

play30:11

get to the uh the sheet eventually um

play30:16

and then we'll be able to see it it will

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have

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created an additional sheet here so okay

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look LinkedIn search results founder

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Dubai cool let's open it up and soon

play30:30

we're going to see like it's probably

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going to be like 10 at a time that just

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go boop boop boop boop boop and get us a

play30:36

nice list of high quality prospects I

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mean um I wonder you know these are

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probably good leads maybe for us um but

play30:45

we're in AI as well so like maybe these

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people already know like

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what you know maybe they're not actually

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good fits for us um but you can see like

play30:54

how easy it is to just like pull a list

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of LinkedIn Prof files and then like

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take that list and put it into some kind

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of like automated like Outreach thing or

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automated like connection request thing

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or something like that um but like super

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easy super quick like prospecting tool

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that you know I'm probably going to be

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using quite a bit uh in the future I

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kind of just built this one a few days

play31:17

ago but I can I can see it being like

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super super helpful down the road um so

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this is this is an example of like a a

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unique

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tool that you're not necessarily going

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to be attaching to every single agent

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that you have it's not like email or

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calendar or Google drive but it's a

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really helpful tool for maybe like a an

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all-encompassing like prospecting agent

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like someone who does Google searches

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and not only finds like uh LinkedIn but

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like also gets email accounts for the

play31:47

lead gets their name like full name and

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it it really fills out um an entire like

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leadless like column set you know that

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that you would have like in CRM like

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first name last name email address

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location uh job description you know job

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title like all of that information like

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we could build this out even further or

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or we could just like build an agent and

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attach the proper tools and the agent

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would just like constantly be

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prospecting leads for us right um and so

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that's a pretty cool tool and I just

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show you that to just say

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like the flexibility here is immense and

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outside of kind of your common

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tools there's a lot of opportunity to

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create your own workflows based on your

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actual business right your specific

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business your specific offer your

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specific ICP um and so that's why we

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love agents and if you want to learn

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more about it I got a video that dies

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deep into kind of our process how we've

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even gotten to this point um and some of

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the common agents that we're seeing how

play32:49

we build our agents what components we

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use kind of like all of the details

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around it should be the first link in in

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the uh description but other than that

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these are five agents that you could get

play32:57

get started building today if you have

play32:59

any questions let me know in the

play33:00

comments um or feel free to email me but

play33:03

otherwise that's it

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