Questflow Labs: Celebrating the Completion of Our Beta Test
A Journey of Innovation and Growth
We are thrilled to announce the successful completion of Questflow.ai's beta test phase! This milestone marks a significant step forward for our team and our community, and we are immensely grateful for the support and feedback we've received along the way. Let's take a look back at our journey, celebrate our achievements, and share what's coming next for Questflow.
Historical Milestones
Questflow Labs embarked on its journey in late 2022 when our co-founders, Bob and Carney, identified a critical need for more effective automation solutions in their product development process. Traditional methods fell short, leading them to explore the potential of AI's multi-agent orchestration (MAO) capabilities. This exploration paved the way for Questflow.ai, a platform designed to leverage AI agentic workflow ecosystems for private-first, user-owned AI automation.
In July 2024, we proudly announced the completion of our angel round of funding, raising $1.5M with the support of numerous investors. This funding has been instrumental in driving our development and enabling us to bring our vision to life. As of now, tens of thousands of users are actively utilizing Questflow.ai's products, and we are continuously iterating to enhance our offerings.
Beta Version Success
The beta version of Questflow.ai has been a resounding success. Here are some key metrics that highlight our achievements:
Usage Milestones
Registered Users: 30,000+
Community Members: 50,000+
Monthly AI Agentic workflow automation: 1,500,000+
Use Case Milestones
Number of Agents Created: 30+
Translate Agent: Can translate between different languages.
Calendly Agent: Integrates with Calendly to streamline scheduling and eliminate back-and-forth emails.
Google Calendar Agent: Manages events, reminders, and tasks, and supports team collaboration via Google Calendar.
Google Agent: Simplifies data collection and analysis with Google Forms for both web2 and web3 applications.
KDF Agent: Queries SEC documents for information about publicly traded companies.
Telegram Agent: Enhances real-time messaging and notifications using Telegram.
Crunchbase Agent: Searches for company information.
Yingdao Agent: Executes Yingdao apps and tasks.
Summarize Agent: Creates summaries for content.
Adot Agent: Responds to queries about project analysis, tutorials, coin prices, data analytics, and Web3-related questions.
Jina Agent: Extracts web content.
Twitter Agent: Interacts with Twitter to post, listen to tweets, and query user tweets.
OpenVC Agent: Searches for venture investors and information on venture capital firms.
Corcel Agent: A versatile chatbot capable of generating images.
Induced Agent: Extracts structured data from web pages.
TypoX Agent: Offers consultation on web3 blockchain-related issues.
Content Judgement Agent: Judges if user input is related to a specific topic.
Mistral Agent: Streamlines tasks, enhances efficiency, and supports complex processes with intelligent automation.
Perplexity Agent: Searches and provides accurate information, news, and content generation.
Slack Agent: Streamlines communication and enhances productivity for team collaboration.
Notion Agent: Creates Notion pages and listens to Notion database changes.
Gmail Agent: Listens for new Gmail, forwards emails, and sends emails to other addresses.
Schedule Agent: Sets up periodic or one-time scheduled events.
Lark Agent: Sends messages to Lark.
Google Sheet Agent: Manages and shares real-time data on Google Sheets.
Google Drive Agent: Manages file uploads on Google Drive.
Airtable Agent: Creates new records in specified Airtable tables.
For more details, visit the Questflow Worker Gallery.
Looking Ahead: Our Vision and Next Steps
Introducing TARS: Your Copilot for Work
As we move beyond the beta phase, we are excited to unveil the next version of Questflow.ai. We will soon release version 1.0 of our product, TARS, which is designed to be your copilot for work, automating repetitive tasks with built-in multi-agent orchestration (MAO) technology.
TARS will empower users to delegate complex workflows to AI agents, significantly enhancing productivity and efficiency.
Launching the Guardian Node Program
In conjunction with the release of TARS, we are also launching the Guardian Node Program. This initiative invites creators and guardians to participate in AI agent creation, fostering a collaborative environment where innovation thrives.
By joining the program, participants can contribute to the development of cutting-edge AI agents and be part of an exciting community dedicated to advancing agentic AI technology.
The Questflow Protocol and Community Collaboration
Our mission is to expand the capabilities of AI agentic workflow across various fields, but this requires overcoming challenges related to multi-agent collaboration, resource allocation, and incentives. To address these, we are leveraging blockchain technology and token economics to foster a collaborative environment. By inviting external roles and builders to co-create with the right incentives, we aim to establish a robust de-agent node network.
Transitioning from an experimental project to an open protocol is a natural progression for Questflow. We are grateful for the support of our angel investors, incubators, entrepreneurial friends, and the community. Special thanks to Dr. Luqi, MiraclePlus, and the founders and teams of projects like PAKA, AgentLayer, TypoX, Dmail, Chasm, Litentry, Near, Tezos, and Aptos for their support.
Join Us in Building the Future
We invite you to join us on this exciting journey. We can build an innovative Questflow community and an open, decentralized multi-agent protocol. Your participation and feedback are invaluable as we continue to push the boundaries of what's possible with agentic AI.
We are delighted to announce that, with the support of numerous investors, we have successfully completed our angel round of funding, raising $1.5M. On July 8th, we shared this exciting news with our dedicated users and community. So far, tens of thousands of users are already using Questflow.ai’s products. Additionally, we are iterating a new version of our product, which will be unveiled to the community soon. This new version addresses the limitations of multi-agent systems in handling complex demands, enhancing their performance and usability, and preparing for extensive future applications. We are also designing Questflow’s integration within the Telegram ecosystem, which will enter the development phase once the Multi-agent framework is completed.
Recently, we have received a lot of feedback from community members, who are eager to learn about the history of Questflow and the reasons behind creating the Questflow protocol. The initial idea for Questflow emerged in late 2022 when Bob and Carney(the co-founders of Questflow). They were developing their product. They needed to automate some product requirements, but the process and results were consistently unsatisfactory. Later, they discovered that leveraging AI's multi-agent capabilities could effectively solve several workflow automation issues, offering greater intelligence and adaptability. Moreover, this capability is not confined to any specific field.
Why AI Agentic
In simple terms, agentic AI differs from traditional AI models by being more flexible and intelligent. It can provide high-quality services through iterative thinking and self-learning. For example, when a user needs to generate an article, agentic AI not only writes the initial draft based on prompts but also performs web searches, gathers relevant information, and repeatedly revises and optimizes the article. It can integrate data from multiple information sources, ensuring that the final result is more accurate and comprehensive. For everyday users, this means smarter and more efficient assistance with writing, research, and other complex tasks.
When handling tasks involving multiple texts and information channels, agentic AI demonstrates its exceptional capabilities. Whether writing a comprehensive report, analyzing extensive literature, or comparing information from different sources, agentic AI can automatically complete these tasks and provide clear, structured results. For instance, when a user needs to compile information from multiple news sources, agentic AI can automatically retrieve relevant content, extract key information, integrate and analyze it, and finally generate a detailed and objective report. This ability simplifies complex information processing tasks, saving users a significant amount of time and effort.
Additionally, agentic AI possesses self-repair and improvement capabilities. When encountering errors, the AI can automatically detect and fix issues, continually optimizing its performance. This self-learning and iterative improvement feature means users can enjoy continuously enhanced services without frequent intervention or adjustments.
Overall, agentic AI, through its iterative and self-learning capabilities, provides users with smarter and more efficient solutions. From multi-text processing to comprehensive information analysis, agentic AI showcases its outstanding abilities and broad application prospects.
Why token incentives work in Multi Agent Network of Questflow
We aim to expand this capability to a broader range of fields, but we have encountered a challenge. Everyone now knows the potential of AI, but for those of us looking to create more expansive and scalable products, we must first solve the problem of multi-agent collaboration. This issue goes beyond just the tech stack; it also involves resource allocation and incentives. Questflow users need multiple AI agents to collaborate on tasks, which may require support from external, mature products like Gmail and Twitter. Additionally, they need a large amount of data input, which is neither public nor free, and significant computational power, which is unfortunately scarce.
How can we enable users to collaborate and help this project grow? When aiming to create all of this, blockchain technology and token economics become essential. After careful consideration, we decided to introduce more roles and builders, inviting external forces to co-build this project with the right incentives. We are inviting various roles to join and form a robust de-agent node network. Therefore, transitioning from an experimental project to an open protocol is a natural progression.
We are delighted to have the support of angel investors, incubators, entrepreneurial friends, and the community. We are especially grateful to Dr. Luqi and MiraclePlus for their early support, as well as to the founders and teams of projects like PAKA, AgentLayer, TypoX, Dmail, Chasm, Litentry, Near, Tezos, and Aptos for their comprehensive support.
Moving forward, we will advance hand in hand with the community. We welcome you to join us in building an exciting Questflow community and an open decentralized multi-agent protocol.