Navigable AI
AI Assistance for Your Users - Integrated into Your Product
8 followers
AI Assistance for Your Users - Integrated into Your Product
8 followers
Navigable AI lets you create and integrate an AI agent that guides users, automates actions, and answers questions - without the need for complex AI development. Use the power of LLM fine-tuning to train AI to be an expert on your product.
Hey Product Hunt community! I’m David, a solo developer who’s been building Navigable AI for the past 8 months. Navigable AI is a no-code LLM fine-tuning platform that helps you easily build & integrate an intelligent AI assistant into your product. Here’s what the assistant does:
🧭 AI-Suggested Navigation: Guides users to the most relevant pages in your app using suggestions.
🤖 Automate Actions: Lets the AI perform actions on behalf of your users using LLM tool calling, while re-using existing business logic.
😄 Context-Aware Responses: Let's you create fine-tuned models to understand your product and deliver precise answers, using your product documentation.
With our platform and SDKs, building and integrating a fine-tuned assistant that does all of these things is super easy, all while keeping costs low (more than 80% savings)!
Who’s it for?
Products looking to build an AI Assistant to help users find the right features.
Websites needing a simple Q&A bot that answers questions with precision.
Freelancers and service providers who want to create and integrate AI chatbots with minimal effort and cost.
What's our story?
LLMs became popular, but most products can only do so much with LLMs, summaries & simple content generation mainly. We were looking for other use cases when we realized that LLMs are smart enough to guide users, but only if it knows your product inside-out. For this, we decided to go with the LLM fine-tuning approach. With insights from my partners, we built Navigable AI to simplify the LLM fine-tuning process using a no-code approach, taking care of the heavyweight tasks and avoiding common pitfalls. A side-effect benefit of this process was huge reduction in cost. Because we are able to use a smaller LLM for fine-tuning to get good results, we are saving big on the inference costs.
What do we need?
We’re eager for feedback on both our product idea and execution. If you have any suggestions or questions, please drop them here. And if you like what you see, feel free to share it with others! Also, If you need a customized LLM fine-tuning solution, we can make it happen. Just get in touch and we'll help you out.
Thanks for checking out Navigable AI. We can’t wait to hear your thoughts! 🚀