![Anurag S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Anurag S.")
AS

Anurag S.

AI Developer

Computer Software

Small-Business (50 or fewer emp.)

8/13/2026

"A Versatile AI Assistant for Coding, Learning, and Automation"

4.5/5

What do you like best about ChatGPT?

What I like most about ChatGPT is how useful it is as an all-in-one AI assistant for both learning and practical work. I regularly use it for brainstorming, coding and debugging, understanding AI/ML concepts, building n8n automations, working with APIs, and designing AI agent and RAG workflows. It has been especially helpful while developing my AI projects because I can explain a problem, share errors or requirements, and iteratively improve the solution instead of starting from scratch. I also use it for research, writing, project planning, and preparing for freelance work and assessments. The ability to maintain context during a conversation makes it much easier to work through complex tasks step by step. Review collected by and hosted on G2.com.

What do you dislike about ChatGPT?

The main limitation is that ChatGPT can sometimes give confident answers that still need to be verified, especially when working on complex coding or AI/ML problems. In long technical conversations, it can also occasionally lose track of earlier requirements or suggest code that needs debugging before it works in my environment. When I integrated OpenAI into an n8n RAG workflow, I found that getting reliable results depended on good prompting, model configuration, retrieval quality, and API setup. I would like stronger consistency and better awareness of when an answer is uncertain, along with easier debugging and troubleshooting for integrations. Review collected by and hosted on G2.com.

What problems is ChatGPT solving and how is that benefiting you?

ChatGPT helps me solve problems across AI development, automation, learning, and freelance work. A major use case has been building and troubleshooting AI workflows, including an n8n RAG agent where I integrated OpenAI models and worked through prompts, API configuration, retrieval, and workflow issues. It also helps me understand complex AI/ML concepts, debug code, plan project architectures, research solutions, and turn ideas into working implementations. Instead of spending a long time searching through different resources for every problem, I can work through an issue interactively and refine the solution step by step. This has made my development and learning process much more efficient and has helped me move projects from ideas to practical implementations faster. Review collected by and hosted on G2.com.

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