Promptly, a no-code Generative AI platform, enables advanced app and workflow creation. Choose from popular LLMs, add data in any format, and use AI Agents for tasks from data retrieval to online form completion.
Hey all! π
Iβm Vignesh, co-founder of Promptlyhttps://trypromptly.com.
What is Promptly?π
Promptly is a no-code Generative AI platform. It allows you to build applications or automate workflows without any coding! π With Promptly, you have access to all popular LLMs, AI agents, and a vast array of connectors, including private data imports, database connectors, and integration with enterprise tools like Slack, Discord, Twilio, etc. π‘
Why did we build this? π
LLMs / Generative AI made AI accessible to all. We can use a large model out of the box without the need to train custom models. But when we tried to use Generative AI in our own projects, we realized there is still a lot of engineering work we need to do to make it work. It would require handling complex things like handling data, building a RAG pipeline, managing Vector DBs, etc. We also realized that this made Gen AI inaccessible to almost every non-engineer. That is when we realized the importance of abstracting out all the complexities involved in orchestrating Generative AI so people can focus on the problem they are solving instead of wasting resources on figuring out how to orchestrate Generative AI. We founded Promptly to truly make AI accessible by providing all the missing pieces above the LLM that are required to unlock workflows π οΈβ¨
How does Promptly work? π₯οΈ
Visit us at https://trypromptly.com. Log in with your Google Account and explore diverse templates tailored for specific use cases. Fork and customize a template, or start from scratch and create something uniquely yours. ππ§
Where Can I Learn More? π
To dive deeper into Promptly and learn more about its capabilities, check out these resources:
β’ YouTube Videos: Explore our YouTube channel for a collection of tutorial videos. π₯
β’ Documentation Site: Visit our documentation site for detailed guides and information. π
Exciting Use Cases Built with Promptly π
Our community has created an incredibly diverse array of innovative applications with Promptly. Literally, any application you can think of building or automating can be realized. π Here are a few standout examples:
β’ Live Avatar by Heygen: This application uses AI-generated video to allow an avatar to answer questions live. π€ποΈ
β’ AI SDR: A tool for outbound campaign personalization. It personalizes based on LinkedIn activity and sends emails through existing sequences on platforms like Hubspot and Apollo. π§π―
β’ Site Localization This tool automates the manual process of localizing websites, utilizing LLMs and offline jobs for efficient translation. ππ
β’ AI Search: Build an AI-powered search tool capable of answering questions from large volumes of content (terabytes). ππ
β’ Whatsapp Automation: Answer questions asked by your customers instantly with an application trained with your private data.
And many more...
Try Some Example Apps! π―
β’ Voice Answers: Upload a file, ask a question and get a voice answer.
β’ File Chat: Upload a file and ask any question.
β’ Digital Marketing Assistant: Generate marketing content based on configurable parameters like social media, tone, etc.
β’ Personalized Email using LinkedIn Activity: Enter Prospect's info, get a personalized email based on their LinkedIn activity
β’ Internet Assistant: Ask anything. Agents will browse the internet and find the info for you.
We're eager to hear your thoughts! π¬
β’ Join our vibrant Discord community π§
β’ Engage with us on Twitter π¦
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β’ Share your comments below! π
@trypromptly@vignesh_aigal@mohammed_mustafa_jafer I'd say the major challenge has been strike the right balance between keeping a simple UX while allowing for greater flexibility in creating complex applications solving real world use cases
@mohammed_mustafa_jafer We came across many challenges. And these challenges are quite diverse across several areas. To give you two examples:
1. When abstracting out the RAG model, figuring out the chunking strategy, iterating on the chunking strategy based on the file type (for example, CSV vs PDF), ability to support different embedding models, etc.
2. While building AI agents, it was one thing to build with support for static browsers where GPT generates specific browser instructions. It is a whole different beast for the platform to figure out right things to do on a browser based on speciic user inputs. These inputs can fill out a form to get pricing info on a specific item.
Many people who haven't directly started building will think it's just a simple API call to an OpenAI and trivialize the problem. But once you start to build a production-grade, scalable product, these problems present themselves one after another.
@vignesh_aigal@mark_townsend1 Thanks for the feedback. I will look into it. Please let us know any feedback as you experiment with the platform. Happy to help, please don't hesitate to reach out!
@tomorbach we support all LLMs, including, Open AI, Claude, Cohere, Stability, Google Bard, and open source models through Local AI. Depending on the use case, you can choose the right LLM.
Wow, this looks like an awesome platform to help people use AI models without being a dev... the no/low-code interface seems easy to use.
Congrats on the launch!
I just found this tool. Presently, i am in process of testing it, but even now i am so much impressed with results i get. also special thanks for userfriendly interface. Congrats with cool launch, guys!
Who is the target customer for this? What level of knowledge or expertise do they need to successfully deploy apps or workflows?
I understand it's a no-code platform, but it still seems like someone needs to have deep awareness of what agents are capable of to actually take advantage of this platform's functionality.
@guillegette At a 10,000ft view, yes. At the same time, if you consider the RAG support and AI agents, Promptlyβs layer is deeper than connecting systems. There is a whole how do you handle data at scale aspect. We are an orchestration layer on top of LLM + βzapierβ
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