Stack AI

What do you like best about Stack AI?

Stack AI is a well-regarded platform for creating and deploying AI-powered applications. I like that it is using a no-code approach. I my view its strengths lie in its intuitive drag-and-drop interface, which makes it accessible to users without technical expertise. Given its extensive library of templates it gave me a quick way to test my project. These templates can be customized to suit various industries - but can also be applied to small businesses.

I prefer the simplicity of workflow creation and the platform's ability to aggregate data from diverse sources. The best things is, that building up a knowledge base is so easy. Just upload pdfs. Even those pdfs that are restricted to only read can be used - the build in OCR feature is just great. It eases the integration into my customers needs.

The guys from the support team are eager to answer quickly. And they are good in what ever they do. One of the guys agreed to a video call in order to check the problem. Great job!

What do you dislike about Stack AI?

It seems that stack-AI has some speed issues in Europe. Starting some requests via "Run" emerges in heavy delays - especially during afternoon and the evening. This issue might scare away some of my customers and should be addressed.

What problems is Stack AI solving and how is that benefiting you?

Stack AI simplifies the development of a centralized, AI-powered knowledge base. Using features like document readers and data aggregation nodes, it can extract and organize product information from various sources (e.g., documents, cloud storage) into a structured format​. This enabled me to build a comprehensive repository for my clients' product data, ensuring quick and accurate retrieval of information. With its AI capabilities, Stack AI can analyze my customers' user queries, extract key details, and route them to the appropriate team member or department. It achieves this by leveraging workflows that integrate natural language processing and logic nodes. Thanks to this, Stack-AI ensures that customer issues are resolved more efficiently, hopefully enhancing satisfaction. Stack AI supports API integrations, making it possible to connect with platforms. In my case Freshdesk or other CRM systems. This ensures that AI-driven insights and query-routing can integrate directly into my client’s existing tools, enabling real-time updates and streamlined operations​.

What do you like best about Stack AI?

I have been really loving how Stack AI has boosted our company’s ability to get from idea to product/feature quickly. It enables our non engineer staff to build out the proper AI workflow that we can then use an API endpoint for. The built in OCR they have is really nice, and the amount of adapters and connectors they have seems endless. They also seem to have same day support for the new LLM models when they drop, which has been really impressive.

What do you dislike about Stack AI?

Nothing comes to mind in terms of dislikes.

What problems is Stack AI solving and how is that benefiting you?

The main issue Stack AI solves for us is iteration velocity. Previously, when we wanted to build an AI-enabled feature or workflow in our product, we had to put days or even weeks of work into building something super custom only to realize we needed to shift gears and abandon it. Now, with Stack AI, we have been able to get quick MVPs of these workflows to understand if they are something useful that fits into our business quickly.

What do you like best about Stack AI?

How modular and easy to use it is. You can build a fully functioning AI workstream within seconds, collaborate with coworkers and see live the outcome of the structure you are building.

What do you dislike about Stack AI?

Nothing to dislike. Perhaps a work in progress field is the connection with Company's Tech suite. It's flexibility can lead to people in the organization to use it as an external tool from the Company's systems. To make StackAI scalable and up to it's real power within an organization the users need to be very diligent in stapling the workstream to the Company's providers, APIs, privacy/security standards, etc.

StackAI is definetely building in this direciton (e.g., with their On-premise solution, SSO, etc.)

What problems is Stack AI solving and how is that benefiting you?

It has helped me greatly in the past as an MVP enabler within an organization. Building AI architecture and Chatbots within days to steer the Company in a particular direction.

What do you like best about Stack AI?

The possibilities are impressive, especially thanks to the integration with all the tools I use, like Google Suite, Notion, and more. I also appreciate that it includes various models—not just GPT.

What do you dislike about Stack AI?

The learning curve is quite steep. Fortunately, the UX is intuitive, and the tutorials are helpful in getting started.

What problems is Stack AI solving and how is that benefiting you?

Juggling multiple platforms by integrating my go-to tools, like Google Suite and Notion, into one seamless AI workspace. It saves me a lot of time and effort by allowing me to automate tasks and create customized workflows without needing to code.

Stack AI has also allowed me to better understand my own information by enabling me to create custom GPTs with my documents. This way, I can easily access insights and answers directly from my content, tailored to my specific needs

What do you like best about Stack AI?

I have been using Stack-AI for a good couple of months now, and it's by far the easiest tool to set up and use to create custom AI workflows. It makes it super easy to chain multiple LLMs, get data from multiple sources, including external APIs, and easily switch from one model to another without redoing a bunch of work.

What do you dislike about Stack AI?

Being a fairly new product on the market, it is sometimes a bit unstabl/clunky, but it's something that we can live considering how fast it's evolving.

What problems is Stack AI solving and how is that benefiting you?

We're using Stack AI to automate AI workflows in our private equity process of buying and running companies, from the begging of the funnel in due diligence, all the way to supporting customers and fixing bugs.