Questflow

Questtflow, a code-free AI-driven workflow automation platform, is dedicated to helping digital workers in small and medium businesses discover and deploy automated AI that enables teams and individuals to reduce expenses and boost productivity by automating tasks and transactions. 30% More Chill Time, Thanks to AI! questflow.ai #aitools #aitoolz #bestaitools #bestaitools2023 #aitool #airevolution #aiautomation #aiforproductivity

Introducing Questflow | Your AI Workflow Builder

Questflow is a AI-native no-code workflow automation platform. We help teams and individuals reduce costs and increase efficiency by automating tasks and transactions across various platforms, both on-chain and off-chain. Specifically, we enable users to design workflows using a canvas editor, manage version control for workflow templates, app plugins, and AI agents with options to use, publish, and fork, establish conditional logic based on approvals or criteria, and enable task and transaction automation without writing code. In short, Questflow is like AI-native Zapier for both Web2 and Web3, featuring a marketplace for automation templates, plugins and prompts to perform actions on behalf of users in their work. Official Website: http://questflow.ai/

NEAR AI Office Hours #3 Fraction, Mento, Questflow

Illia & Alex, Co-Founders, NEAR Protocol. An hour to chat AI with a few projects, discuss different challenges people have, and discuss news. NEAR AI: https://near.ai/ Illia Polosukhin https://x.com/ilblackdragon Alex Skidanov https://x.com/AlexSkidanov Guests: Fraction AI https://fractionai.xyz/ Mento https://mento.ai/ Questflow https://www.questflow.ai/ In this episode of Office Hours, we dive into the intersection of AI and blockchain with experts from Fraction AI, Mento, and QuestFlow. Explore the innovative ways these technologies are converging, the new business models emerging from this synergy, and the exciting potential of decentralized AI agents. Join us as we discuss how blockchain can enhance AI development, incentivize data sharing, and transform how AI is applied across various industries. Takeaways: • AI and Blockchain: The integration of blockchain and AI can lead to innovative business models and enhanced data sharing and incentivization mechanisms. • Decentralized AI Agents: Creating a decentralized autonomous AI agent network can streamline task automation and improve efficiency while ensuring proper incentivization for creators. • New Business Models: The convergence of AI and blockchain offers opportunities for novel business models that go beyond traditional attention-based economies, focusing on the intrinsic value of data and truth-seeking. • Human-like AI Interactions: There is a growing demand for AI agents that exhibit human-like emotions and personalities, which can enhance user engagement and satisfaction. • Challenges and Solutions: Key challenges in decentralizing AI, such as onboarding users and ensuring secure data storage, can be addressed through innovative approaches like encrypted data retrieval and seamless user experiences. Timestamps 0:00 - Introduction and Video Reaction: Kickoff and reactions to an intriguing video. 1:30 - Guest Introductions: Meet Shashank from Fraction AI, ulie from Mento, and Bob from Quest Flow. 4:05 - AI and Blockchain Initiatives: Discussion on Near's AI initiatives and how blockchain can support AI advancements. 7:10 - Crowdsourcing Data and Experimentation: Strategies for incentivizing data sharing and enabling permissionless experimentation. 10:02 - Fast Approval for Experiments: Ideas for speeding up the approval process for AI experiments. 12:03 - Innovative Business Models: Exploring new business models at the intersection of AI and blockchain. 16:03 - Valuing Data Beyond Attention: Shifting focus from attention-based models to truth-seeking and information-rich content. 20:28 - Marketplaces for AI Agents: Creating marketplaces where AI agents can bid for tasks and services. 24:06 - AI in Data Annotation: Using AI for data annotation and the competition between AI and human annotators. 30:31 - Creative AI Applications: Leveraging AI for creative tasks and the value of hallucinations in AI-generated content. 33:33 - Emotional AI Interactions: The importance of emotional engagement in AI interactions. 41:29 - Configuring AI Personalities: Setting traits and personalities for AI agents to enhance user experience. 47:00 - Encryption and Data Privacy: Balancing open access and encryption for secure AI models. 54:03 - Decentralized Retrieval-Augmented Generation: Designing systems for decentralized storage and retrieval of AI data. 56:49 - Onboarding Users to Web3: Strategies for seamless user onboarding in decentralized AI systems. 1:00:12 - Foundation Models and Open Source: Near Foundation's approach to AI models and fostering an open-source ecosystem. 1:01:40 - Closing Thoughts: Final thoughts and concluding the discussion.