AI Guide

AI Automation
How to Set Up AI Automated Workflows
AI Collaboration
How to Get My Team to Collaborate with ChatGPT
AI for Sales
Generating Sales Role-Play Scenarios with ChatGPT
AI Integration
Integrating Generative AI Tools, like ChatGPT, into Your Team's Operations
AI Processes and Strategy
How to Safeguard My Business Against Bad AI Use by Employees Providing Quality Assurance and Oversight of AI Like ChatGPT Choosing the Right LLM for the job or use case How to Use ChatGPT & Generative AI to Scale a Team's Impact
Build an AI Agent
Creating a Custom AI Agent for Businesses Creating a Custom AI Marketing Agent Create an AI Agent for Sales Teams
Generative AI and Business
16 AI Terms Everyone Should Know Top 13 Alternatives to ChatGPT Teams in 2025 Top 7 Large Language Models (LLMs) for Businesses Ranked Will ChatGPT and LLMs Take My Job? Understanding the Value of ChatGPT and LLMs for Teams and Businesses Why Use ChatGPT & Generative AI for My Business
Large Language Models (LLMs)
Understanding the Different DeepSeek Models: What Makes Them Unique? Understanding Different Claude Models: A Guide to Anthropic’s AI Understanding Different ChatGPT Models: Key Details to Consider Meet the Riskiest AI Models Ranked by Researchers Why You Should Use Multiple Large Language Models Overview of Large Language Models (LLMs)
Prompt Libraries
AI Prompt Templates for HR and Recruiting AI Prompt Templates for Marketers 8-Step Guide to Creating a Prompt for AI  What businesses need to know about prompt engineering How to Build and Refine a Prompt Library

Creating a Custom AI Agent for Businesses

Most businesses struggle to find the practical uses of AI within their everyday operations. One use case that I’ve found incredibly powerful has been building my own custom agents. These are expert chats filled with knowledge from our own resources and instructed to respond in the way that is most helpful to our teams.

Imagine being equipped with an expert consultant with knowledge of your full service or product specs, brand guidelines, or even competitor information.

In this article, we’ll guide you through the process of constructing a unique AI partner using TeamAI’s datastores and agents. We’ll also explore the myriad of benefits this tool can bring to your marketing strategy.

Learn About AI Assistants

Why Build AI Agents for Your Departments and Teams

Generative AI won’t do the work for your marketing team, but it will give them superhuman abilities when it comes to finding new information or boosting overall effectiveness. Let’s look at a few benefits:

  • Instant Access to Your Data: A custom AI consultant provides immediate responses, saving valuable time that would otherwise be spent on manual research. This allows for quick insights when you’re in a meeting, crafting a new strategy, or analyzing industry data. With TeamAI you can load your own PDFs, and product specs or even connect to your external databases.
  • Consistent and Reliable Support: An AI consultant is available around the clock and won’t suffer from fatigue or burnout. This ensures you have consistent, reliable support whenever you need it.
  • Customizable and Scalable: As your business grows and evolves, so too can your AI consultant. You can continuously update and expand your datastore, and the learning capabilities of AI mean that your consultant will become progressively more insightful and effective over time.
  • Cost-Effective: An AI consultant is a cost-effective solution that offers significant value and ROI. The initial cost of setting up will likely be offset by the increased efficiency, improved strategic decisions, and time savings it provides.
  • Gives Your Team Superpowers: A custom AI consultant empowers your marketing, sales, PR, recruitment, and business development teams by equipping them with the knowledge they need to make informed decisions. It can provide insights on-demand, assist in understanding industry trends, provide data about competitors, and help identify opportunities — all of which can boost the performance of your strategic team.

Now, let’s dive into creating your personal AI marketing agent:

Learn About AI Assistants

Step 1: Access Your Documents and Resources in Chat

To create a powerful agent, you first need to connect your comprehensive knowledge base, documentation, and resources.

These could include company policies, business plans, industry reports, best practice guidelines from authoritative sources, business analytics data, or any internal documents relevant to your operations.

Creating a Datastore to Chat with Your Docs

  • Resource Identification: Identifying resources that will be beneficial for your marketing team. This could include onboarding docs, whitepapers, your full website, a helpdesk or even competitor information.
  • Datastore Creation: In TeamAI, navigate to the datastore section and create a new datastore. Populate it with the resources you’ve gathered. For web pages, merely copy and paste the URLs, separating each with a comma. Connect to your Google Drive to swiftly import documents, or simply drag and drop PDFs and files into the TeamAI interface.
  • Engaging with Your Documents: Now, within any chat, you can select your documents and start interacting with them. This pulls your information into the chat!
Learn About Datastores

With a bit more technical knowledge you can take this to the next level by integrating your own custom plugins. Custom Plugins allow you to pull in your databases of customer data, company info, or most API endpoints you can think of.

For more about datastores, visit here.

Step 2: Tell Your Agent What You Need

Once your Datastore is set up, the next step is to instruct your agent to respond effectively based on the needs of the task or team.

Learn About AI Assistants

How to Create Your Agent:

  1. Category Choice: Visit the agent creation page and select a relevant category, such as marketing consultation. If your specific category isn’t available, create a new one.
  2. Agent Setup: Assign a title and description for your agent. This will be visible in the chat when you engage with the agent.
  3. Instruction Development: A key step where you direct the agent on how you want it to behave to meet your needs. For instance, you may want your agent to always respond with a bullet list of Product USPs, or you might want it to always include a list of potential questions for a client to maintain the conversation flow.
  4. Model Choice: Depending on your need for speed or depth of response, choose an appropriate AI model. Options include GPT-4 Turbo for extensive datasets or faster models like GPT-3.5 for quicker, but possibly less comprehensive, responses.
  5. Datastore Linking: Connect your newly created datastore to the agent. This enables the agent to access your curated resources, allowing it to deliver informed responses.
  6. Agent Verification: Before deploying it in real-world scenarios, test the agent with various questions to ensure it produces accurate and useful information.

For more about agents, visit here.

Step 3: Leveraging the Agents Across Your Business

With your agent now ready, your team has immediate access to a wealth of expert knowledge.

Whether it’s during a client meeting, analyzing market trends, or strategizing for future business growth, your custom agent can swiftly provide you with expert insights on a myriad of business subjects, such as financial management, operational efficiencies, or emerging industry trends.

Learn About AI Assistants

Build Your AI Agents with TeamAI

A custom AI business agent is a powerful tool that can significantly enhance your business operations.

It provides an intelligent, cost-effective, and dependable solution to modern business challenges, empowering your team to excel in their roles and propel business growth.

With your newly developed AI agent, you’re well-prepared to take your business strategies to new heights. 

Try TeamAI for Free Today.

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