Very intuitive UI and easy to get started with. You can create an agent with natural language Review collected by and hosted on G2.com.

Not as advanced and customizable like new gen agent frameworks like crew AI Review collected by and hosted on G2.com.

The product is interesting and offers several features that demonstrate it is a platform to consider when creating an intelligent Chatbot. After some use, the interface becomes easy to use, similar to other products. Exporting to platforms such as Messenger is straightforward, although it remains basic. Overall, a good product that is slowly improving. Review collected by and hosted on G2.com.

Although it is a good product, some improvements are expected to make it a more user-friendly and accessible tool for everyone.

Firstly, the interface that represents a conversation tree is basic. You cannot control the display, unlike other competing products. It is created as additions are made and mainly serves to demonstrate the flow that you are creating.

A second important point is related to integration with platforms such as Messenger. Many tools facilitate integration by offering native features like managing the start menu and others. Dialogflow CX does not allow this granular channel-specific management. Therefore, everything has to be managed elsewhere, which complicates deployment.

Finally, support is complex. Being a large company, processes are cumbersome. A support request is a laborious process, sometimes with no response at all. Although an interesting product, the support needs significant improvement to make it even more appealing. Review collected by and hosted on G2.com.

I recently had the opportunity to utilize Google Cloud Dialogflow for a project, and I must say, I was thoroughly impressed with its capabilities. As a developer tasked with integrating conversational AI into our application, Dialogflow provided an exceptional solution that exceeded our expectations in many ways.One of the standout features of Dialogflow is its natural language understanding (NLU) capabilities. The platform excelled at accurately comprehending user inputs, even accounting for variations in language and intent. This accuracy was essential for delivering a smooth and intuitive user experience, as it minimized misunderstandings and improved the overall effectiveness of the conversational agents. Review collected by and hosted on G2.com.

Integration Complexity,Pricing Structure,Learning Curve,Limitations in Customization Review collected by and hosted on G2.com.

Mostly Dialogflow supports Context management and its allows conversation to be mainted and tracked and maintained over multiple times,its also provides an specific information and interaction to another,and its a more natural and context conversation. Review collected by and hosted on G2.com.

i Disliked only one thing while development their is Limited Customization in pre-built. Review collected by and hosted on G2.com.

Best and always recommend features from my own uses experience would definitely be NLP and helping in buidling conversational bots and live chat features for apps and sites. Review collected by and hosted on G2.com.

As always big No for Google tools. But there will be always room for improvement in any thing so developers might working on it. Review collected by and hosted on G2.com.

- Easy to set up

- Cost-effective compared to most of the standalone chatbot apps

- Natural language understanding works brilliantly Review collected by and hosted on G2.com.

- Dialogflow ES may struggle with the complex workflows

- A lot of AI featured are still lacking Review collected by and hosted on G2.com.

The entire concept of how you can build a voice bot or a chat assistant, in a few easy simple steps. The continuous training and machine learning aspects/features are worth mentioning too. Review collected by and hosted on G2.com.

Bugs in the UI; intents are not picked up as expected a lot many times Review collected by and hosted on G2.com.

User-Friendly Interface: Dialogflow's drag-and-drop interface and pre-built templates make it easy for anyone to create a chatbot, even without prior coding experience. This accessibility lowers the barrier to entry and encourages experimentation. Moreover, Dialogflow's NLP capabilities enable it to understand the nuances of human language, allowing for more natural and engaging conversations with users. This can significantly enhance the user experience. Review collected by and hosted on G2.com.

While Dialogflow provides pre-built templates and examples, customising it to meet specific needs can be challenging. This limitation may hinder businesses with unique requirements. Review collected by and hosted on G2.com.

Google Cloud Dialogflow is a powerful tool that makes the creation of bots a breeze, thanks to its intuitive drag-and-drop interface. I appreciate how it simplifies the development process and makes it accessible to users of varying technical abilities. It's exceptional at interpreting rules and patterns and boasts impressive natural language processing capabilities. Its analytics feature is another standout that helps in improving the bot's performance over time. The robust developer community is an added bonus, providing insights and solutions whenever needed. Based on machine learning techniques, Dialogflow offers suggestions for training phrases to improve the accuracy of the model without manual intervention.Lastly, its ability to deploy across multiple platforms with ease is simply commendable also provides pre-built entities and intents, which significantly reduces the time and effort to develop a chatbot from scratch. Review collected by and hosted on G2.com.

1. Proprietary Language: Since Dialogflow uses its own proprietary language (structured as intents or training phrases), this learning curve might be a challenge for new users.

2. Lack of Extensive Tutorials: While Dialogflow has some documentation available, the detailed tutorials and learning resources could be improved. For complex and advanced features, users often report a lack of information.

3. Cost Structure: Dialogflow's pay-as-you-go pricing can become expensive as usage scales up. Depending on the size of the organization, this pricing model may not be cost-effective.

4. Integration Difficulty: Users have reported that integrating the API of Dialogflow with other systems can be complex and time-consuming, especially for those unfamiliar with Google's ecosystem.

5. Limited Free Tier: The free tier provided by Dialogflow, while useful, is limited and may not be enough for those who wish to prototype extensively before committing to a paid plan.

6. Debugging Interface: The debugging interface can be challenging to use, especially when trying to identify problems with the bot. It lacks clear prompts or suggestions on how errors can be fixed.

7. Limited Multilingual Support: Although Dialogflow supports many languages, its performance can vary across languages. For some less commonly spoken languages, the recognition accuracy isn't as high as it is for English.

8. Language Understanding: While Dialogflow's natural language understanding is impressive, it still struggles with handling complex user queries and nuances in language. It often requires explicit training on numerous sentence structures to decipher intent. Review collected by and hosted on G2.com.

These days it is mainly integrated with the advanced AI like gemini pro, that brings up the best features in hand, and helping to create the dialogue flow more easily. Review collected by and hosted on G2.com.

Only thing that needs the consideration is cost, google charge a lot for these features, but its service and feature is best in the world, I am not worried about the cost in front of its amazing features. Review collected by and hosted on G2.com.