GenFuse AI

Hello Product Hunters! 🚀 We’re thrilled (and a bit nervous) to officially launch GenFuse AI and can’t wait to hear what you think. GenFuse AI enables ANYONE to build AI agent automations. No technical skills required. It is a no-code tool that lets you quickly set up multi-agent workflows for automating tasks like online research, personalized sales outreach, marketing content creation, answering questions from knowledge base, lead scoring, and much more. Problem? 🤔 At my last job, I built several AI agent automations that greatly improved efficiency and saved us a lot of time. However, 3 main challenges made the process much harder than it needed to be: 1️⃣ Building reliable AI agent systems took a lot of time and effort. And as AI evolves at lightning speed, keeping the in-house systems up to date became a constant challenge. 2️⃣ Most AI automation tools only work for simple, rigid workflows. They can generate text in response to a query but cannot make decisions such as when to search Google or scrape a website for a given task. This makes it difficult to automate complex, ambiguous tasks like online research. 3️⃣ Existing no-code platforms are too developer-focused, leaving non-technical domain experts out of the loop. If AI is supposed to communicate in natural language, why should building AI agents require coding expertise? The Solution? ✅ At GenFuse AI, our mission is to create the most easy-to-use platform that empowers anyone to quickly build multi-agent automations. Our AI agents handle complex tasks independently, so your workflows are simpler and easier to manage. Here’s some examples of what you can automate with GenFuse AI: ✍️ Create SEO blog, LinkedIn, and Twitter posts on any topic: Automatically research topics, read relevant websites, and generate SEO-friendly blog posts, LinkedIn posts, and Twitter threads. 📘 Company research agent: Create detailed company reports by analyzing their website and reviewing relevant news articles, focusing on the information that matters to you. 💰 Personalized sales proposals/emails: Create customized sales proposals for prospective clients on behalf of your company. Two research agents analyze both companies’ websites, while a third agent uses the insights to craft tailored, client-focused proposals. Upload a sample proposal for precise formatting. 🧠 Answers questions from your knowledge base: Tired of endlessly searching through piles of documents? Upload them to a knowledge base (vector store) and let the AI agent find the answers for you. 🔥 Lead Scoring Agent: Rank and score leads based on your custom criteria. Upload a CSV file to score thousands of leads in bulk, ideal for efficient lead qualification and prioritization. 📊 Survey Response Classification Agent: Analyze thousands of survey responses at once with sentiment analysis and categorize feedback into predefined groups. These are just a few use cases, but you can do a lot more with GenFuse AI. P.S: It’s absolutely Free to get started. No credit card required. We hope GenFuse AI helps you become a little more efficient. 🙏 Thanks for your support Your upvote and your feedback are very important for us. Please share any features or improvements you'd like to see in upcoming versions. Cheers! Sayoni and Kshitiz, GenFuse AI Co-founders

AI and Automation, sounds like a match made in Machine Learning Heaven. 😃

Congratulations! I am certainly going to give it a try, building a couple of agents that I have in my mind.

Congrats on the launch of GenFuse AI, @sayoni_dutta_roy! 🎉 It looks like such a cool tool that makes creating AI automations super easy. Love that it's made for anyone, no technical skills needed!

whoa. so glad someone built an app like this. this is going to be in a lot of companies toolkit soon. congratulations on the launch and godspeed to you folks! will give this a shot soon.

One question: Whats the top 3 use-cases the current users are deploying with GenFuse at the moment?

Also, how does GenFuse AI handle complex workflows with dependencies between multiple agents? Can it support conditional branching or dynamic task allocation?