Starting from 2023, organizations have been transferring significant workloads to AI agents which has become a standard practice among many businesses. The year 2024 witnesses a peculiar trend where more than 65% of international businesses integrate genAI into their operational processes.
Is there a cost reduction effect? Yes. The critical focus shifts to directing human attention toward intricate and significant problems instead.
At least for now, the turn has proved to be beneficial for some companies.
Data analysis, 24/7 customer support, debugging, internal collaboration, and content optimization are just a few ways that humans will benefit from AI. The best part is that most such AI agents are offered as pre-built integrations for systems in place; coding has currently taken a back seat.
If this pits your interest, it’s about time for you to run through the AI agents offered in this post (I have done testing and review). Also, most mentions are less about individual agents and more so about an ecosystem to get started.
1. CustomGPT
Automate Customer Interactions
This is by far the simplest way to implement a genAI chatbot; just put in your business data, and it will help to resolve related queries. It will plug into the latest OpenAI models (currently GPT-4o) without needing you to write a single line of code.
CustomGPT can be trained on websites, PDF material, MS Office documents, YouTube videos, voicemails, and so on, in over 90 languages.
I liked the fact that CustomGPT developers have turned their attention to AI hallucination. AI agents built on this platform do not answer random queries and never step out of the ingested knowledge base. It also allows you to steer the course if a response fails to meet user expectations. These agents not only answer but also cite resources for greater transparency.
Data security is one more important aspect of any business. Fortunately, thanks to CustomGPT, all data is encrypted both in use (AES-256-bit) and in motion (SSL). All AI agents remain isolated, and there is to be no sharing-even between bots of the same account.
Moreover, CustomGPT is both SOC 2 Type II compliant and GDPR-compliant. If security is of concern to you, know that your business data is not used to train the CustomGPT AI.
CustomGPT has integrations for WordPress, Zapier, YouTube, Zendesk, Hubspot, Wix, Shopify, Notion, and many others.
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
The platform offers a free trial for 7 days. The price of the subscriptions depends also on the number of custom agents, documents, total number of agents, database size, and team size.
- Standard: $89/month
- Premium: $449/month
- Enterprise: Custom
2. SiteGPT
Versatile AI Bots for Customer Engagement
For personalized customer support, SiteGPT is powered by OpenAI models (GPT-4o and GPT-4o-mini). SiteGPT AI bots can be trained with website content (a URL could be provided) or text files in any of the following formats: CSV, TXT, PDF, DOCX, and PPTX.
I have tested their demo, and I can assure you that they employ effective anti-hallucinations measures. This help the bot stay on task and escalate to human agents when necessary or requested.
SiteGPT sends daily summary emails to keep tabs on conversations with AI. It allows you to add any supplementary information needed, and retrain the bots for more productive interaction.
Users can usually fill in fields and information that capture the details of interested users; hence SiteGPT AI Bots are with such lead magnets in disguise. Some of its simple tasks include scheduling meetings and making product suggestions.
SiteGPT AI agents support 95 languages, hold chat history, and can be fully customized to match the voice of the brand. This bot can integrate with the API or apps such as Google Drive, Notion, DropBox, SharePoint, Slack, Zendesk, and so forth.
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 need to reach out to the SiteGPT team for a personalized quote.
3. ChatGPT Team
Multi-purpose Assistance for Teams
Should you choose to retrieve pure-cut AI agents directly from their source, the Chat GPT Team from OpenAI is your preferred option. The interface is so simple, and you can also document and instruct for customization.
I did use my own pieces to see if it would be able to respond from the knowledge base without skirting off. But even after issuing constant directives and updates, it still would hallucinate every once in a while, limiting its use cases to internal supervised tasks only.
But you see, the configuration is quite easy. This makes it attractive for teamwork. Just input more data into the knowledge base, switch on real-time web-searching, and hook it up with image generation, code interpretation, and data analysis features.
Custom GPTs can be shared with a link, and even people on the free OpenAI plan are limited from accessing them. Custom Actions also allow access of data from third-party APIs. Admins can leave notes explaining the use of the bot.
In general, it will work well 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 another big tech OpenAI alternative for you to build specialty AI agents.
By itself, Gemini packs quite a punch when it comes to everyday desk duties like writing emails, document summarization, and drawing insights. The Advanced edition features more kick, including customizable agents (or Gems), integrations via Google Suite (including Gmail and Google Docs), and an enhanced memory capability.
Custom agent-building has been made easy using Gemini. Customize your version by just uploading your knowledge base, which can, at most, have 10 files.
There are some templates designed for brainstorming, career advice, coding, etc. that Google includes for you to view and see how they differ from the standard Gemini.
Furthermore, Gemini Advanced provides access to the latest AI models from Google. It can now, when this was being written, converse with documents having up to 1,500 pages all at once owing to a mammoth context of 1 million tokens.
However, moreover for developers, Gemini 1.5 Pro with 2 million context window via Gemini API is accessible. For “context”, OpenAI’s current best, GPT-o1, is at a 200k content window. This speaks volumes about the capability of Google AI regarding performance and capacity, especially when it comes to document analysis on a massive scale.
Another big plus with Gemini is that it has native integration with Google Search, which is still the most frequently employed search engine to this day. That’s why if your workflows are built on dependency in Google search, Gemini stands with a unique advantage.
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
There is no dedicated Gemini Advanced subscription for interested users from Google. Instead, consider the Google One AI Premium plan, presenting online Gemini Advanced and 2 TB of cloud storage available to subscribers for $19.99 monthly.
5. Relevance AI
LLM-agnostic AI Agents
Relevance harnesses AI for multiple business domains, from sales, research, and custom support to marketing and outreach. Using it, you can choose the finest LLMs from leading providers like OpenAI, Anthropic, Google, and Meta.
It has multiple agent templates for use in market research, content writing, sales prospecting, and audio analysis. You can try these pre-made bots and even customize their behavior to fit your use.
The process of building a custom agent with Relevance is a little different and advanced. In this case, you’re not limited to simply uploading a knowledge base but can add skills (for example, web search, data scraping, query escalation, etc.) and triggers to activate a skill-based action.
For example, you could have a custom agent perform a task sequence involving searching on Google, creating an entry in Airtable, and pushing a notification on Slack.
Relevance AI has integrations with Hubspot, Gmail, WhatsApp, Freshdesk, Zapier, WordPress, Webflow, Airtable, and so on.
It is also SOC 2 Type II certified and actively pursues GDPR compliance. Enterprise clients can enjoy 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 raise the bar by leveraging generative AI to build voice assistants that answer inquiries, make calls, schedule appointments, recommend products, and smoothly transition to a human counterpart when needed.
I had tested their AI sales agents for a random kitchen chimney query. Though it wasn’t designed for real-time browsing of the internet, it deftly answered my questions and cleared my confusion.
Play AI has a wide variety of models to select from when assembling their voice agents. The individual models range from the latest LLMs, including GPT, Llama, Hermes, Gemma, and Mixtral, among others, that may be uploaded by the user. You are also entitled to upload a custom-built LLM specifically trained on your business data alone.
You can upload 10 files to build a custom knowledge base.
Play AI supports file types including markdown, PDF, HTML, ODT, DOC, PPTX, EML, RTF, etc. Also, it has “Actions”, which allow it to integrate with third-party tools when configured.
You can preclude AI hallucinations by instructing Play AI voice agents to respond solely from internal documents. On the other hand, leave it open, and it will call upon its general base of LLM knowledge for its responses.
Play AI, being SOC 2 Type II, ISO/IEC 27001, and GDPR compliant, encrypts all data in transit (TLS) and at rest (AES-256-bit). You may use a cloud instance and reap the benefits of any firewalls, intrusion detection, and whatnot. Alternatively, an on-premises deployment is possible.
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 a developing marketplace for procuring and utilizing custom AI for whatever the user wants. Even in their early stages, there are numeral AI agents of over 300 of them-you name it-marketing, customer support, sales, and more.
You can “hire” these AI tools for a test-hand free.
As it is, these are suited for single-use types without the contextual conversation experience we see in other apps. You could prompt, say, the Ideogram Image Generator to create an image, but it does not allow any editing or working on the same project.
That’s one option, besides restarting it; sharing it and saving it directly to Google Drive.
I also tried to sign up for the AI agent builder to check which LLMs it supports. Have a look.
The interface accesses the top LLMs from OpenAI, Anthropic, Google, Meta, and Mistral. You can create a chain of actions to accept user inputs and invoke LLMs with a condition.
In addition, there is the Preview Tab, which enables the developer to debug errors. Moreover, you can permit access to this agent to all or specific individuals.
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 is endless with the automation possibilities it may provide for our future and excites me. Picture AI that makes reservations for you at your chosen restaurants. Or, tell a smartphone to browse Amazon for items to be ordered and gifted to employees.
All this is achievable, as per the visionary developments from companies like Multion AI. They aren’t simply populating the AI space with yet another “smart” bot; rather, they go a few more levels ahead to actually provide some real value.
This focuses on building independent AI agents-those who work on our behalf. Ideally, these bots construct, perform multi-step analysis, and execute their activities based on aspects of our intent that have already been laid out.
Multion must certainly have some of the best minds behind its engine, including Microsoft former AI Researcher, Julia Kiseleva. On top of this, Multion has Amazon-and Samsung-investments to its name to prove its credibility.
You may check this YouTube video on This Week in Startups, where Multion schedules a meeting in Google Calendar after taking complete control of the browser.
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
Agent.so offers a truckload of fruitful use cases, with more than 250 bespoke AI agents covering multiple domains such as business, communication, creativity, education, entertainment, legal, household, fashion, food, science, lifestyle, and sports.
In other words, you can choose from LLMs provided by the world’s top companies, such as Anthropic, OpenAI, Google, xAI, and Meta, and train them on your data from links, sitemaps, and documents.
Data privacy need not be a concern. Agent.so is already compliant with GDPR and CCPA. Conversations are encrypted and permanently deleted after use. In addition, you may delete chat data if you so choose.
Agent.so offers Smart Suggestion for people still awkward with prompting. True to the name, Smart Suggestions offer live user-personalized advice to maximize the productivity of the chats going on.
Suggestions constantly improve by learning from user behavior. The new addition will be a prompt library covering various topics to help newcomers get started 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 offers a forever-free limited-featured version. Paid plans begin at $29 per month, granting larger context windows, agent training, embeddable agents, team spaces, and much more.
10. Cognigy
Best for Enterprise Customer Service
Cognigy specializes in AI-driven customer service, with AI chatbots utilized within the sectors of finance, airlines, automotive, healthcare, and e-commerce. One may develop text and voice agents in the Cognigy platform that can be deployed across channels using standard communication protocols like REST, Socket, or Webhook.
The focus by Cognigy on human-like conversations takes into consideration customer intent, sentiment, and context. Agents can communicate in over 100 languages and learn from every conversation to ameliorate the customer experience progressively.
These agents answer the call of voice, identifying customers needing fully automated self-service or redirection to human agents when necessary, supported by full context handovers, so your customers will never have to repeat the same query transitioning to human agents.
With over 100 integrations, Cognigy agents can be easily hooked into trending contact center platforms and business systems such as Avaya, Five9, Genesys, Talkdesk, Zendesk, SAP, and ServiceNow.
Likewise, Cognigy offers pre-built connectors to Facebook Messenger, Salesforce, Slack, Microsoft Teams, WhatsApp, Instagram, Viber, and more. The operational LLMs driven by Azure, OpenAI, Google, and Anthropic offer tremendous 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.
What Is AI Agent?
Artificial intelligence agents are software systems that apply in an autonomous or semi-autonomous manner merging tasks as per the user request. These agents have gone through pre-training on domain-specific data and ranged from answering questions to taking complete browser controls for a sequence of actions.
Some modern agents can also self-improve with every contact through the usage of machine learning algorithms.
AI agents are changing the modern business scenery by being used to automate workflows. Currently, the most extensively applied use surrounds automated customer services, with 60% of teams across various industries (energy, resources, etc.) utilizing AI for customer services.
However, it will soon extend to sales, marketing, operations, and practically anything that can be done on 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: Finishing mundane tasks in minutes is one of the best advantages advanced AI agents have. The easiest examples are composing letters or emails and checking grammar. It can also be a code-writing and bug-fixing assistant for developers. While it cannot (yet) cope with the breadth of human creativity, it is pretty good for those who would like to cut down waiting times.
- Improved Customer Support: The range of languages they support is deafening. Some chatbots like ChatGPT support over 100 languages. These, along with the ability to provide a shallow knowledge repository, will significantly reduce the chances of hallucinations in AIs. Finally, the round-the-clock availability of GPT makes them suitable candidates for customer support.
- Cost Saving: For every AI deployed, one would be replacing one or even more humans. This may be considered an ethical drawback for this technology, but improved fiscal security would come out as one of the perks for projects that lack funds.
- Data-driven Decision-making: Generative AI bots are excellent at discerning patterns and insights in complex datasets. They can maintain the context and personalize recommendations, making them good companions in decision-making.
