Here’s a rundown of AI tools built for real conversation, capable enough that talking to them can feel a lot like talking to an actual person.
AI that you can chat with – or even open up to – is now widely available. If you’re curious about trying one out, here are some AI apps worth checking out.
Conversational AI like this refers to the use of artificial intelligence that lets computers simulate human conversation in real time. It’s built to understand natural language and respond intelligently in a way that feels natural.
This kind of conversational AI powers things like virtual assistants and chatbots, giving you automated interactions that still feel human.
The technology shows up across all kinds of industries – customer service bots in retail, reservation systems in travel, even round-the-clock customer support in tech services.
How Do You Talk to AI?
There are a few tips worth knowing if you want to get the most out of talking with AI, as referenced from Red Analysis:
1. Be Polite
Use polite language to build rapport with the AI chatbot. Just like when interacting with people, it’s worth being courteous and respectful when talking to an AI chat assistant. Simple things like saying please and thank you go a long way in creating a positive interaction and a good relationship with the assistant.
2. Use Complete Sentences
Conversational AI isn’t a search engine. So it’s better to use full sentences rather than just keywords, which helps the AI process what you’re saying more accurately.
3. Aim for Two-Way Communication
Treat it like an actual dialogue — respond to what the AI says. Politely share your thoughts on whether its answer was convincing or not, and whether it met your expectations or needs further clarification on certain points.
4. Understand the AI’s Personality and Purpose
Every AI assistant has its own personality and function. Treat it as a dedicated entity built to handle a specific kind of problem, matched to whatever it’s designed to be good at.
5. Use Clear, Concise Language
Even though conversational AI is designed to understand natural language, it’s best to avoid overly complex sentence structures or industry-specific jargon. Keep your language simple and to the point so the AI can accurately understand and respond to what you’re asking.
6. Provide Relevant Information
To get accurate, useful responses, it helps to give the AI specific and relevant details about what you need.
7. Rephrase If the AI’s Answer Doesn’t Make Sense
If the AI gives you an answer that seems illogical or doesn’t add up, there may have been a miscommunication. In that case, try rephrasing your question and ask the AI to help work through the issue.
List of AI Tools You Can Talk to and Open Up To
Now that you know how to talk to conversational AI, here are 10 recommended AI apps — some free, some paid — that you can have a conversation with.
These recommendations are referenced from Digital Ocean:
Amazon Lex
This AI offers a comprehensive service built for creating conversational interfaces using both voice and text input. Using automatic speech recognition, it can transcribe spoken language into text and uses text-to-speech to turn text into audible speech.
Amazon Lex integrates smoothly with a range of AWS services to run business logic, retrieve data, and more.
Yellow.ai
Yellow.ai is a conversational AI that offers a multi-LLM architecture, which helps ensure strong performance. The platform effectively cuts operational costs by automating conversations across multiple channels, including email, text, and voice.
It also supports more than 135 languages and enables interactions across more than 35 channels.
Amelia
Amelia is a conversational AI app that’s particularly good at understanding and responding to human language. It uses proprietary NLP technology along with generative AI models to run smooth, natural conversations.
With Amelia, organizations can benefit from an outstanding customer and employee experience through an IVA that’s accessible 24/7 across channels, in more than 100 languages.
It also integrates with CRM systems and other enterprise applications, offering pre-built industry solutions that help users get up and running quickly.
Cognigy.AI
Cognigy.AI is a conversational AI app that supports contact center automation for both users and customers. The platform offers a comprehensive customer service solution, including agents, conversational IVR, and assistants, alongside smart self-service options.
This conversational AI integrates with existing backend systems, letting users design custom conversation flows and tailor virtual assistants to fit their specific business needs.
Through Cognigy.AI, organizations can build meaningful relationships and maintain customer loyalty by delivering personalized experiences.
IBM Watsonx Assistant
This conversational AI is designed to improve the user experience while simplifying digital assistance processes. With advanced chatbot AI technology, users can enhance their experience by understanding and intelligently responding to human conversation.
This voice-enabled conversational AI also comes with strong privacy safeguards and robust data security, keeping users’ sensitive information protected.
Aisera
Aisera is a conversational AI built for proactive, personalized, and predictive experiences, supporting HR, IT, sales, and customer service operations. By combining behavioral intelligence with GPT-3 for powerful natural language processing, this conversational AI can simplify tasks, actions, and business processes.
A number of well-known companies use Aisera, including Zoom, Workday, Amgen, McAfee, Autodesk, Chegg, Dave.com, and 8×8.
Tars
This conversational AI app specializes in optimizing conversion funnels and automating customer service interactions through chatbots, with a strong focus on improving the customer experience.
Using chatbots or conversational landing pages, Tars engages visitors in automated chats that deliver relevant service or product information, helping avoid information overload.
This approach can improve lead generation effectiveness by increasing the likelihood that users share their contact information. Tars also offers an extensive library of chatbot templates built to serve a wide range of industries and use cases.
Avaamo Conversational AI Platform
This conversational AI specializes in delivering agency-grade chatbots and digital assistants designed for industries including banking, insurance, and healthcare.
This conversational AI lets organizations automate customer interactions and streamline internal processes. Avaamo also supports a seamless, natural transition between voice, chat, and text.
It also uses natural language processing and machine learning to interpret and respond to customer queries, delivering a personalized conversational experience.
Oracle Digital Assistant
This conversational AI offers a comprehensive AI platform that integrates chat, text, and voice interfaces to create conversational experiences for business applications.
Businesses can use this platform to build chatbots that understand customer intent, carry on natural-language conversations, and deliver relevant responses.
This lets customers interact with the AI chatbot on a business’s website or within apps they already use, such as Microsoft Teams or Facebook Messenger.
Boost.ai
Boost.ai is a conversational AI offering both cloud-based and on-premise solutions designed for a range of industries, including banking, telecommunications, retail, and more.
This AI tool uses self-learning artificial intelligence, deep learning, natural language processing (NLP), and automatic semantic understanding (ASU) technology.
Boost.ai is also able to interpret and respond to queries efficiently. Features of this voice-enabled conversational AI include a centralized information repository, authentication management, pre-built templates, language detection, conversational IVR, and an AI-powered admin panel that supports building natural interactions in a user-friendly, no-code environment.
That wraps up this list of conversational AI tools worth trying. With these AI apps, users can create conversations that feel natural — just like talking to a real person, even when there isn’t one on the other end.
