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BuildAIFast is collection of premade components and functions that let you build AI webapps quickly without needing any prior knowledge.
You just need to know react
import { Chatbot } from 'buildAIfast';
const chat = new Chatbot()
chat.addMessage(firstMessage)
chat.getResponse()
chat.render()
Philosohy
BuildAIFast is a set of components and functions I've built that abstract away all of the complexity of working with GenAI tools. I've found that the most important factor in my projects being successful was speed of development. For my use cases, getting initial interest required a really good-looking UI and mediocre AI performance.
Take a step back and remember how impressed you were when ChatGPT launched. Do you remember how realistic it was? How much better was it than legacy chatbots? Do you remember thinking that this is going to change everything? Do you remember all of the ideas you had about how to use it? Why did you never act on them?
If you google any of the ideas you had back then you'll find results for the people that made it a reality. (And if you don't then what are you doing?! Go build it!)
AI product ideas can be broken down into ones that require substantial tech build, which are handled by startups, and extensions/additions to existing products like Salesforce and Google Docs, which are handled by big companies. Finally, there are the ideas which are suited to small developers, which are thin wrappers around LLMs like logo designers and essay writers. (There's also one more but I can't be bothered right now.)
The last group of businesses have poor long-term prospects. But in the short term, they can make millions before they are saturated amongst a sea of competitors.
The way you capitalize on this is by building quickly. And that's the point of BuildAIFast. If you have an idea, build it quickly, get it out there, and capitalize on the gold rush before you're diluted out.
BuildAIFast gives you the tools to stream responses from OpenAI, and get structured JSON outputs. But the crucial detail is that it doesn't require learning anything about LangChain or the LLM APIs. All you need is React.