Superflows

Superflows

AI User Assistance - let users control your product via chat

4.9
18 reviews

1K followers

Superflows lets you build an AI product assistant in an afternoon, levelling up your UX without months of engineering time. Just connect your API, test in our playground, and add to your product in a few lines of code.
This is the 2nd launch from Superflows. View more
Superflows

Superflows

Build an AI product copilot in an afternoon
Superflows was ranked #2 of the day for September 22nd, 2023
Superflows lets you level up your UX with an AI copilot, without months of engineering time. Just connect your API, test in our playground, and add to your product in a few lines of code.
Superflows gallery image
Superflows gallery image
Superflows gallery image
Superflows gallery image
Superflows gallery image
Superflows gallery image
Superflows gallery image
Superflows gallery image
Free Options
Launch Team

What do you think? …

Matthew Phillips
Hey PH 👋🏼 We’re building Superflows to enable large language models to control powerful software products. Our goal is to give everyone an expert assistant in the software they use every day. Modern business software is incredibly powerful, with large feature sets and the flexibility to adapt to a wide range of use-cases. This makes the software complex, decreasing usability. For product managers of these products, this results in low activation and retention. They know the features that drive the most value, but struggle to get users to that point. We experienced this first hand from both sides and asked ourselves: What if you could just type in a box and have the actions taken for you? And what if software products could add this functionality in a few hours? With ChatGPT’s release and GPT4, it’s now possible to have AI assistants for every aspect of your job. This would be super useful, but these LLMs aren’t connected to the data and software you already use. When exploring the problem with companies trying to build an AI assistant like this, we heard a lot of shared problems: - Prompt engineering LLMs is challenging and unlike other software engineering - a prototype quickly gets to 60% accuracy, then hits a wall. Months of engineering time gets wasted - Product Managers lack control over AI assistant behaviour because you have to get deep into prompt engineering and code to really move the dial Our toolkit uses LLMs, chain-of-thought reasoning and fine-tuning to create a fast, reliable, customisable AI assistant for your product. Here’s how it works: - Connect your API - Configure in a no-code dashboard - Test in our playground - Deploy in a few lines of code Our product roadmap is public so you can see what’s coming down the tracks and suggest new features: https://docs.superflows.ai/blog/... We’d be really grateful for your support and to answer any questions you have! Cheers, Matthew
Emma Alecrim
@matthewsuperflows Hey Matthew! I just read about Superflows and it sounds like a great idea! Having an AI copilot to level up UX without spending months on engineering time is amazing. Connecting the API, testing in the playground, and adding it to the product in just a few lines of code sounds super convenient. I totally get the struggle of making complex software more usable, so having an expert assistant in the software we use every day would be a game-changer. It's awesome that Superflows uses LLMs, chain-of-thought reasoning, and fine-tuning to create a fast and reliable AI assistant. I'll definitely check out the product roadmap and suggest new features. Keep up the great work! Cheers!
Rohan Chaubey
Hunter
📌
Happy to hunt Superflows once again! :) Love the product. The demo video sums up the possibilities quite well. Give it a try!
Alex (Sasha) Dolgov
Hey guys! That looks very useful for Product managers with poor UX expertise, like me Congrats and hope that you'll find our ideal customer (!)
Matthew Phillips
@alex_dolgov thanks Alex! Feel free to reach out if we can help -- happy to give a hands-on setup for you