Since Q1 2023, we (at Geekflare) have been offloading substantial work to AI agents, and this isn’t uncommon among organizations. In fact, in 2024, over 65% of global companies have been reported to employ genAI in their workflows.[1]

Does this reduce cost? Yes. But more importantly, it’s about investing human attention in more complex and impactful issues.

The global AI agents market size was valued at USD 3.86 billion in 2023 and is expected to grow at a CAGR of 45.1% from 2024 to 2030.

Grand View Research

However, for the time being, this shift has led to measurable advantages for organizations.

Data analysis, 24/7 customer support, debugging, internal collaboration, and content optimization are just a few of the use cases where people benefit from AI. The best part is that most of these AI agents are available as pre-built integrations for existing systems; you don’t need to write code.

If this has sparked your interest, it’s about time you go through the AI agents I’ve discussed (after testing and reviewing) in this post. Also, most mentions aren’t individual agents but offer an ecosystem to get started with AI.

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1. CustomGPT

Automate Customer Interactions

CustomGPT is the simplest of genAI chatbot implementation, where you feed it with your business data and let it resolve related queries. Behind the scenes, you’ll be using the latest OpenAI models (currently GPT-4o) to build custom AI agents without writing code.

You can train CustomGPT agents with website content, PDFs, MS Office documents, YouTube videos, voice recordings, and more, in 90+ languages.

customgpt ai

I liked the fact that CustomGPT developers have given attention to AI hallucination. AI agents built with this platform don’t answer random queries and never go outside the ingested knowledge base. Plus, it lets you decide the course if a response fails user expectations. Not only do these agents answer, but they also cite resources for greater transparency.

Another critical aspect for any business is data security. To the credit of CustomGPT, all data stay encrypted at rest (AES-256-bit) and in transit (SSL). All AI agents remain isolated, and there is absolutely no sharing, even between bots under the same account.

Besides, CustomGPT is SOC 2 Type II certified and GDPR compliant. And if security’s a concern, your business data isn’t used to train CustomGPT AI.

CustomGPT has integrations for WordPress, Zapier, YouTube, Zendesk, Hubspot, Wix, Shopify, Notion, and more.

CustomGPT Pros

  • Advantage

    Data encryption and AI agent isolation

  • Advantage

    Anti AI-hallucination measures

  • Advantage

    Supports multiple file formats, including live websites, YouTube, and audio

CustomGPT Cons

  • Advantage

    No option to build with non-OpenAI LLMs

  • Advantage

    Slightly expensive for small businesses

CustomGPT Pricing

There is a 7-day free trial. The paid plans are as listed and are primarily based on the number of custom agents, documents/agents, the size of the database, and team size.

  • Standard: $89/month
  • Premium: $449/month
  • Enterprise: Custom
Try CustomGPT

2. SiteGPT

Versatile AI Bots for Customer Engagement

SiteGPT is based on OpenAI models (GPT-4o and GPT-4o-mini) to provide personalized support to your customers. You can train SiteGPT’s AI bots with website content (by providing a URL) or text files in multiple formats, such as CSV, TXT, PDF, DOCX, and PPTX.

I have tried their demo and can vouch for effective anti-hallucination measures. This helps the bot stay on track and escalate to human agents if required or asked.

SiteGPT provides daily email summaries to oversee AI conversations. It allows adding supplement data when required and retraining bots for more productive discussions.

You can capture details of interested users, making SiteGPT AI bots lead magnets in disguise. Moreover, it has provisions for doing elementary tasks, such as booking meetings and providing product recommendations.

SiteGPT AI agents support 95 languages, keep chat history, and can be personalized to match the brand voice. You can connect this bot with the API or integrations (for Google Drive, Notion, DropBox, SharePoint, Slack, Zendesk, and more.)

SiteGPT Pros

  • Advantage

    Supports automation and lead generation

  • Advantage

    Built-in anti-hallucinations features

  • Advantage

    Added functionality to solve basic customer tasks

SiteGPT Cons

  • Advantage

    Lacks upfront pricing (only for enterprise)

  • Advantage

    Limited LLM support

SiteGPT Pricing

You’ll have to contact the SiteGPT team for a custom quotation.

Try SiteGPT

3. ChatGPT Team

Multi-purpose Assistance for Teams

If you’re interested in getting AI agents directly from the source, ChatGPT Team from OpenAI is the way to go. The interface is super simple, and you can document and add instructions for personalization.

Check this out where I made a Geekflare VPN bot to answer customer queries about VPNs.

chatgpt team custom GPT

I used my own articles to see if it can answer from the knowledge base without going astray. But even after repeated instructions and updates, it would hallucinate once in a while, restricting its use cases to supervised internal tasks only.

On the upside, the ease of configuration makes it a good fit for teamwork. You can easily put more data in the knowledge base, turn on real-time web search, and add capabilities for image generation (DALL-E), code interpretation, and data analysis.

You can share custom GPTs with a link, and even people with free OpenAI accounts can access them, subject to limits. It also has Custom Actions to make data available from third-parties via APIs. Admins can make notes, instructing the bot on how to use it.

Overall, it works great for internal teams.

ChatGPT Team Pros

  • Advantage

    Additional capabilities covering images, code, and data

  • Advantage

    Simple interface for uploading supplement data/instructions

ChatGPT Team Cons

  • Advantage

    Suffers from hallucination, making it unfit for front-end deployment

  • Advantage

    Limited support for uploading data from other sources, such as a live website

ChatGPT Team Pricing

ChatGPT Team’s pricing starts from $25/user/month.

Try ChatGPT Team

4. Gemini Advanced

Good for Day-to-day Internal Workflows

Gemini is a big tech OpenAI alternative you can use to build specialty AI agents.

On its own, Gemini is quite powerful for doing everyday desk jobs such as writing emails, summarizing documents, and drawing insights. Its Advanced version includes more firepower in the form of custom agents (Gems), integration with Google Suite (Gmail, Google Docs, etc.), and more storage.

Building custom agents is easy with Gemini. Just upload your knowledge base (up to 10 files) to get a custom version of Gemini at your disposal.

Google has also included a few templates for brainstorming, career guidance, coding, etc., which you can check to see how they differ from the vanilla Gemini.

Gemini Advanced also provides access to the latest AI models from Google. As of this writing, this can analyze up to 1,500-page documents in one go—all thanks to an enormous 1 million token context.

However, there is more for developers since they can get their hands on Gemini 1.5 Pro with a 2 million context window via Gemini API. For “context”, OpenAI’s current best, GPT-o1, is at a 200k content window. This shows the level of Google AI capabilities and what can be achieved with it, especially in large-scale document analysis.

Another big plus with Gemini is its native connection with Google Search. Like it or not, it’s the most used search engine today. That’s why Gemini has a distinct advantage if your workflows include reliance on Google search.

Gemini Advanced Pros

  • Advantage

    Up to 2 million context window for large-scale document analysis

  • Advantage

    Built-in Google search

  • Advantage

    Google Suite integration for added versatility

Gemini Advanced Cons

  • Advantage

    Limited size of custom knowledge base

  • Advantage

    A track record of hallucination

Gemini Advanced Pricing

Google does not have a standalone Gemini Advanced subscription. Instead, you can opt for the Google One AI Premium plan offering Gemini Advanced and 2 TB of cloud storage at $19.99/month.

Try Gemini Advanced

5. Relevance AI

LLM-agnostic AI Agents

Relevance is about deploying AI for multiple business domains; from sales, research, and custom support to marketing and outreach. You can do so while choosing top LLMs from leading providers, including OpenAI, Anthropic, Google, and Meta.

It provides multiple agent templates for market research, content writing, sales prospecting, and audio analysis. You can try these pre-made bots and even customize their behavior to match your use case.

The process of building custom agents with Relevance is a little bit different and advanced. In this case, you’re not limited to uploading a knowledge base but can add skills (ex., web search, data scraping, query escalation, etc.) and triggers that activate a skill-based action.

For instance, you can get a custom agent to perform a task sequence consisting of a web search with Google, creating a record in Airtable, and notifying you on Slack.

Relevance AI has integrations for Hubspot, Gmail, WhatsApp, Freshdesk, Zapier, WordPress, Webflow, Airtable, and more.

It’s also SOC 2 Type II certified and actively pursuing GDPR compliance. Enterprise customers can get a single-tenant cloud deployment with SSO and role-based access.

Relevance AI Pros

  • Advantage

    Advanced used cases besides customer support

  • Advantage

    Ability to select from multiple LLMs

  • Advantage

    Enterprise-worthy features for deployment and compliance

Relevance AI Cons

  • Advantage

    Fully featured experience is expensive for small projects

  • Advantage

    Isn’t entirely no-code

Relevance AI Pricing

Relevance AI provides a free forever version, with paid plans kicking in at $19/month.

Try Relevance AI

6. Play AI

Conversational Voice AI

Play AI can help you up the game by using generative AI to build voice agents that answer questions, make calls, schedule appointments, recommend products, and escalate to their human counterparts when required.

I tried their AI sales agents for a random purchase inquiry regarding kitchen chimneys. Though it could not natively browse the web for real-time data, it effectively answered my queries and cleared my doubts.

Behind the scenes, Play AI has a variety of models you can choose to build their voice agents. It includes the latest LLMs, including GPT, Llama, Hermes, Gemma, and Mixtral. Besides, you can upload a custom—but OpenAI API-compatible—LLM solely trained on your business data.

play ai

It allows you to upload a maximum of 10 files for a custom knowledge base.

Play AI is compatible with various file formats, such as markdown, PDF, HTML, ODT, DOC, PPTX, EML, and RTF. It also has “Actions”, which, when configured, allow it to interact with third-party tools.

You can shield users from AI hallucination by forcing Play AI voice agents to answer only from internal documents. Alternatively, you can keep it open, and it will respond to the general LLM knowledge base.

Play AI is SOC 2 Type II, ISO/IEC 27001, and GDPR compliant. All data remains encrypted in transit (TLS) and at rest (AES-256-bit). And though you can go with a cloud instance, benefiting from firewalls, intrusion detection systems, and whatnot—an on-premises deployment is available too.

Play AI Pros

  • Advantage

    Multiple LLMs to build voice AI

  • Advantage

    Aesthetic, intuitive interface

  • Advantage

    Enterprise-grade security and SLA

Play AI Cons

  • Advantage

    Customer support needs improvement

  • Advantage

    Voice agents sound robotic sometimes

Play AI Pricing

Play AI has a free forever plan, offering 30 minutes of speech credits. Paid plans start at $9/month.

Try Play AI

7. Agent AI

AI Agent Marketplace

Agent AI is an in-the-works marketplace where you can choose and use custom AI. Even in the initial stages, there are over 300 AI agents covering marketing, customer support, sales, and more.

You can “hire” and try these AI tools for free.

As of now, these are fit for one-off use cases without any contextual conversational experience we see elsewhere. For instance, you can prompt one of the bots (Ideogram Image Generator) to create an image. However, there is no option to make changes or work on the same project.

ai agents

Except for restarting it, you can share it and save it directly to Google Drive.

I also tried signing up for the AI agent builder to check which LLMs it supports. Take a look.

agent ai

The interface provides access to top LLMs from OpenAI, Anthropic, Google, Meta, and Mistral. You can build a sequence of actions to take a variety of user input and invoke LLMs as and when needed.

There is also a preview tab along with the option to debug errors. Finally, you can share the agent with all or specific users.

Agent AI Pros

  • Advantage

    A huge catalogue of AI agents

  • Advantage

    Free to use (for now)

Agent AI Cons

  • Advantage

    Still in beta without any clear-cut use case

  • Advantage

    Some agents just don’t respond

Agent AI Pricing

The agents are free to use currently.

Try Agent AI

8. Multion AI

AI for the Future

Multion AI excites me about the endless automation possibilities it can bring to our future. Imagine AI that can check and book tables for you at the restaurants of your preference. Or, how about telling your smartphone to browse Amazon for ordering and gifting things to your employees?

All this can be a reality, thanks to the visionary developments at companies such as Multion AI. They aren’t crowding the AI space with yet another “smart” bot but are going a few levels ahead to offer something truly valuable.

multion ai
Multion.ai

This is about building autonomous AI agents—the ones who can work on our behalf. Ideally, these bots will perform multi-step analysis and execution based on the pre-defined intent.

Currently, Multion has some of the brightest minds in its engine, including Microsoft’s former Principal AI Researcher, Julia Kiseleva. Besides, Multion has attracted investments from Amazon and Samsung, boasting its credibility.

You can check out this YouTube video at This Week in Startups, where Multion books a meeting in Google Calendar by taking full browser control.

Multion AI Pros

  • Advantage

    Industry-leading AI use cases

  • Advantage

    Backed by big tech corporations

Multion AI Cons

  • Advantage

    Might lead to privacy issues if user data is not handled properly

  • Advantage

    Real-life efficiency yet to be tested

Multion AI Pricing

Multion hasn’t disclosed its pricing yet.

Check Out Multion AI

9. Agent.so

Pre-built AI Agents

You have tons of AI use cases taken care of at Agent.so, with over 250 unique AI agents specializing in a range of domains, including business, communication, creativity, education, entertainment, legal, household, fashion, food, science, lifestyle, and sports.

Not only this, but you can also pick LLMs from top providers, including OpenAI, Anthropic, Meta, Google, xAI, etc., and train on your custom data from links, sitemaps, and documents.

You don’t have to doubt data privacy since Agent.so is GDPR and CCPA compliant. Conversations are encrypted, and training data is permanently deleted after serving its purpose. Plus, you have the option to erase chat data once and forever.

Agent.so features Smart Suggestion for people new to prompting. As the name speaks, Smart Suggestions provides real-time user-personalized advice to maximize chat productivity.

The suggestions constantly improve learning from user behavior. An upcoming addition is the prompt library, which will cover multiple subjects, helping newcomers start easily.

Agent.so Pros

  • Advantage

    One-click shareable chats

  • Advantage

    Multi-LLM choice

  • Advantage

    Flexibility to choose pre-built agents or build custom

Agent.so Cons

  • Advantage

    Significantly small character per message (1500) limit for entry-level paid tier

  • Advantage

    Lacks real-time internet connectivity for web search

Agent.so Pricing

Agent.so’s limited featured version is forever free. Paid plans start at $29/month, providing a greater context window, agent training, embeddable agents, team spaces, and more.

Try Agent.so

10. Cognigy

Best for Enterprise Customer Service

Cognigy is a specialist in AI-driven customer service, serving industries like airlines, automotive, finance, healthcare, and e-commerce. This platform allows building text and voice agents you can deploy across channels via standard communication protocols, such as REST, Socket, and Webhook.

Cognigy’s emphasis is on human-like conversations, taking into account customer intent, sentiment, and context. These agents can speak 100+ languages and learn with every conversation to deliver an increasingly satisfying customer experience.

You have these agents to answer voice calls and identify and send users to fully automated self-service or redirect to human support as required. Plus, thanks to full context handovers, your customers never have to repeat their queries while transitioning to human agents.

Over 100 integrations allow you to readily plug Cognigy agents into popular contact center platforms and business systems, including Avaya, Five9, Genesys, Talkdesk, Zendesk, SAP, and ServiceNow.

Likewise, Cognigy has pre-built connectors for Facebook Messenger, Salesforce, Slack, Microsoft Teams, WhatsApp, Instagram, Viber, and more. The underlying LLMs are powered by Azure, OpenAI, Google, and Anthropic, giving excellent flexibility.

Cognigy Pros

  • Advantage

    Agents for practically all use cases and industries

  • Advantage

    LLMs from top developers, including OpenAI, Anthropic, and Google

Cognigy Cons

  • Advantage

    Lacks upfront pricing

  • Advantage

    Limited application for individuals or small-scale projects

Cognigy Pricing

Cognigy pricing is quote-based, so you have to contact Cognigy sales.

Try Cognigy

Honorable Mentions

Below, I’ve mentioned some great options for enterprises looking to build AI agents.

  • Google Cloud: Helps develop deterministic and generative AI conversational bots
  • IBM Watsonx: LLM-powered AI bots for business-specific use cases, including banking, healthcare, insurance, retail, and telecommunications
  • RASA: Customized genAI chatbots for on-premises and cloud deployment

What Is AI Agent?

AI Agents are software systems that act autonomously or semi-autonomously to execute tasks as per user request. These agents are pre-trained on domain-specific data and have abilities ranging from answering questions to taking complete browser control for performing a sequence of actions.

Some modern agents can also self-improve with each interaction using machine learning algorithms.

AI agents are becoming common in the business landscape for workflow automation. Currently, the most prevalent application is automated customer support, with 60% of teams in multiple sectors (energy, resources, etc.) employing AI in customer service.[2]

However, it will soon expand into sales, marketing, operations, and practically anything and everything that can be done with a computer or smartphone.

What Are the Benefits of Using AI Agents?

Some of the most common benefits of deploying AI agents are mentioned below.

  • Productivity: Getting mundane work done in minutes is one of the biggest pros of having a performant AI agent. The simplest example is, of course, writing emails & letters and grammar checks. It can also write code and help developers debug. While it can’t (yet) replace human creativity, it’s efficient for someone interested in reducing turnaround times.
  • Improved Customer Support: These chatbots are multilingual, with some (such as ChatGPT) supporting over 100 languages. In addition, you can provide them with a focused knowledge base, reducing the chances of AI hallucination. Finally, their 24/7 availability makes them a perfect customer support candidate.
  • Cost Saving: You would be replacing one, if not many, humans with every single AI agent at work. While this is arguably an ethical downside to this technology, improved financials come out as one of the perks for cash-strapped projects.
  • Data-driven Decision-making: Generative AI bots are generally great at drawing patterns and insights from complex datasets. Plus, they can keep context and personalize recommendations, making them a great decision-making companion.

References

Click to Expand
  1. 1. The state of AI in early 2024: Gen AI adoption spikes and starts to generate value – McKinsey
  2. 2. Artificial intelligence (AI) usage in customer service teams worldwide in 2023, by industry – Statista