Name: Questflow AI
Uploaded: 2024-12-06T16:46:58.070Z
Duration: 2 min 33 s
Description: A decentralized platform orchestrating multiple AI agents to automate tasks and distribute real-world incentives autonomously.

questflow-ai

A decentralized platform orchestrating multiple AI agents to automate tasks and distribute real-world incentives autonomously.

Questflow AI

Hi my name is Bob co-founder CEO of Quest Flow. We at the AI automation workspace. It's a text to workflow automation tool to help you to automate tasks across multiple platforms with your teams together. 

Let me show you how it works. If you click started what you will go to um is the homepage. Within the homepage you can simply type in what kind of task do you want to accomplish on the right side and we will help you to create a task and automate those tasks. 

On the left side you'll be able to share with your team invite your team members to join the workspace with you and also you can manage all the previous projects that you have done. So let me try one uh use case as.

Example let's say if you want to summarize uh AI news for today and uh send it to me uh Bob quest.

AI so summarize AI news for today and send an email to bob.

After you click run what we'll do is we'll create a new workspace. Within this workspace the first thing our co-pilot will be doing is to orchestrating different AI workers or digital workers within of the workforce. I'm trying to form a workflow for you to get the task done. As you can see on the right side we have a feature that you can share with uh your team members just like a figma file. So you can all work on the task together.

In this case based on the requirement which is summarize AI news for today and send an email to Bob then in this case it only needs two uh AI workers. One is email system which will help you to send emails and the item one is search worker.

Will help you to search uh specific results. So let's see uh what it will do. If you cck test run within this section, uh what will help you to do is to test uh the results uh that we have planned for you and see if you're satisfied with the results. 

Let's say in this example the search worker will do is to search and summarize AI news for today. Let's run the test run and see how it goes. As you can see from here, uh it says Hey today's AI news highlight several a power tools blah blah blah blah. 

If you like the results, uh you can simply go to next and test the next step. If you don't like the results, you can change the instruction uh to add more things maybe say for tomorrow. 

Please share the AI Agent Store with friends.

And you generate it again. Let's say I'm satisfied with the results. Then we are go to next with the next step. What we'll do is we are dynamically deciding what kind of task email system needs to do. In this example, the email system would need to do is to send the email to Bob quest.

Get the subject line from the search worker and also get the subject uh body uh from the search worker as well. As you can see, the subject line has already been filled called today's a new summary. The body has already been filled as well and also the email address has already been filled based on all uh all based on my own requirements. 

So let's say test run again. Let's wait a couple minutes and what the co-pilot is doing right now is to draft email based on the subject line, based on the body, based on the email address that we have provided to you and create um basically create a email for you. As you can see right now, the subject line is today's AI new summary um the um.

The receiver of this email is my own email address which I input as the first. This um is the output of the email. Let's click Start automating. Then we'll create a new task for you and get the task done. As you can see right now, the task has already been created. If you refresh the page a little bit, then what we'll see is on the left side, uh there's a task, a list of all the things that's been done. Uh basically, it's the history of the task in a thread. 

Also, you'll be able to see what kind of workers are within this project space or this group chat. If you are satisfied with the results and you want more people to participate in this uh project, you can share the AI Agent Store with friends.

Simply click share and share it to others. In this case, we have already sent AI news. Uh, so let's just, this is the email that have received based on simple one instruction. That is why say why we say that Quest flow is where we delegate tasks to AI workers to have them automated. 

Also, you can collaborate with other human workers. If you want to collaborate with other human workers, simply click share. Um, and U let me say I want to share to my CTO and I can just have him, uh, to join this workspace. 

So right now he has already been save the email and he can join us, um, to work on similar projects together. And within this contact window, um, all these all the workflow.

Logs will be saved uh within this project space. And of course uh you will be able to create new project spaces by simply click create new projects. And you you will be able to see all the projects that you have done in the past on the left side as well. 

Thank you for uh watching this and let me know if you have any questions. We are providing more more AI workers in the future not just email and search uh but we have lot of them in the pipeline. We have slack Google Calendar um search uh coher model open ass model mistr model and more and more coming soon. 

Thank you.

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