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.
- 1. CustomGPT – Automate Customer Interactions
- 2. SiteGPT – Versatile AI Bots for Customer Engagement
- 3. ChatGPT Team – Multi-purpose Assistance for Teams
- 4. Gemini Advanced – Good for Day-to-day Internal Workflows
- 5. Relevance AI – LLM-agnostic AI Agents
- 6. Play AI – Conversational Voice AI
- 7. Agent AI – AI Agent Marketplace
- 8. Multion AI – AI for the Future
- 9. Agent.so – Pre-built AI Agents
- 10. Cognigy – Best for Enterprise Customer Service
- Show less
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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.
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
Data encryption and AI agent isolation
Anti AI-hallucination measures
Supports multiple file formats, including live websites, YouTube, and audio
CustomGPT Cons
No option to build with non-OpenAI LLMs
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
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
Supports automation and lead generation
Built-in anti-hallucinations features
Added functionality to solve basic customer tasks
SiteGPT Cons
Lacks upfront pricing (only for enterprise)
Limited LLM support
SiteGPT Pricing
You’ll have to contact the SiteGPT team for a custom quotation.
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.
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
Additional capabilities covering images, code, and data
Simple interface for uploading supplement data/instructions
ChatGPT Team Cons
Suffers from hallucination, making it unfit for front-end deployment
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.
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
Up to 2 million context window for large-scale document analysis
Built-in Google search
Google Suite integration for added versatility
Gemini Advanced Cons
Limited size of custom knowledge base
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.
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
Advanced used cases besides customer support
Ability to select from multiple LLMs
Enterprise-worthy features for deployment and compliance
Relevance AI Cons
Fully featured experience is expensive for small projects
Isn’t entirely no-code
Relevance AI Pricing
Relevance AI provides a free forever version, with paid plans kicking in at $19/month.
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.
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
Multiple LLMs to build voice AI
Aesthetic, intuitive interface
Enterprise-grade security and SLA
Play AI Cons
Customer support needs improvement
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.
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.
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.
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
A huge catalogue of AI agents
Free to use (for now)
Agent AI Cons
Still in beta without any clear-cut use case
Some agents just don’t respond
Agent AI Pricing
The agents are free to use currently.
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.
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
Industry-leading AI use cases
Backed by big tech corporations
Multion AI Cons
Might lead to privacy issues if user data is not handled properly
Real-life efficiency yet to be tested
Multion AI Pricing
Multion hasn’t disclosed its pricing yet.
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
One-click shareable chats
Multi-LLM choice
Flexibility to choose pre-built agents or build custom
Agent.so Cons
Significantly small character per message (1500) limit for entry-level paid tier
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.
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
Agents for practically all use cases and industries
LLMs from top developers, including OpenAI, Anthropic, and Google
Cognigy Cons
Lacks upfront pricing
Limited application for individuals or small-scale projects
Cognigy Pricing
Cognigy pricing is quote-based, so you have to contact Cognigy sales.
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
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EditorAnirban Choudhury is as an editor at Geekflare, bringing over 7 years of experience in content creation related to VPNs, Proxies, Hosting, Antivirus, Gaming, and B2B2C technologies.