AI ChatBot

make
Convenience and Efficiency

Chatbots themselves are far from new. They’ve been around long enough to amass a legacy of user frustration—filled with repetitive loops, endless Q&A chains, and occasional moments of sheer absurdity. The only improvements seemed limited to faster output and larger databases.

Recent breakthroughs in Artificial Intelligence (AI) have transformed these tools from lofty lab experiments into everyday applications. Generative AI is now everywhere, with ChatGPT leading the buzz. While heavyweights like OpenAI, Google, Microsoft, Amazon, and IBM battle for dominance, leaner startups are swiftly integrating the giants’ AI innovations—offering generative apps, services, and even anti-AI content detectors to a broad audience.

Read on to explore the technical aspects behind building an initial AI chatbot. If you’re looking for a more advanced version, check out our three-part blog series, where we dive into the enhanced features, architecture, deployment, and cost analysis of the next iteration.