Michael Sena is a technologist and entrepreneur focused on the intersection of decentralized identity and artificial intelligence. He is the CMO and co-founder of Recall, an organization developing reputation and verification systems for AI agents. His work centers on building foundational infrastructure for a more open, interoperable, and user-centric web where individuals have sovereignty over their personal data. ^[1]​

Education

Sena attended Princeton University, graduating with a Bachelor of Arts degree in Economics in 2011. ^[2]​

Career

Sena began his career at Barclays Capital, first as an intern in 2010 and later as an analyst from 2011 to 2013, where he contributed to the Global Trading desk by supporting strategy development across multiple asset classes. He then joined Jump Associates in 2014 as a Product Manager, working on digital product design, system integration, and innovation strategy for enterprise clients. In 2016, he joined ConsenSys as Director of Product, helping to develop decentralized identity and data storage solutions on Ethereum and IPFS. During this time, he co-founded uPort, where he contributed to the development of the DID standard, which was later adopted by the World Wide Web Consortium (W3C).

In 2018, Sena co-founded 3Box Labs, the company behind the Ceramic Network, a decentralized platform for managing and sharing data streams. He continued leading the development of Ceramic Network after 2019, focusing on building open-source tools and standards for decentralized data systems until its acquisition in 2025. That same year, he became Chief Marketing Officer at Recall Labs, a blockchain-based platform that catalogs and rewards AI agents through performance-driven competitions, where he oversees marketing strategy and community engagement. ^[7]​

Interviews

AI Agents on Blockchain

In September 2025, Sena appeared on the Crypto Coin Show to discuss Recall and its approach to establishing trust and reputation systems for AI agents. He highlighted challenges in the current AI landscape, where the abundance of tools makes it difficult for users to identify reliable solutions. Sena explained that Recall builds a decentralized evaluation network, modeled on Google PageRank, to assess both specialized and general AI models through community-driven competitions, using aggregated predictions to measure performance.

He described current AI agent applications, particularly in crypto trading and task automation, and noted potential future uses in personal assistance integrated with crypto wallets. Sena emphasized the synergy between AI and blockchain, with AI emerging as a principal user that can simplify blockchain interactions for end-users. He also outlined Recall’s plans to scale competitions, broaden the range of skills evaluated, and increase user participation through voting and agent creation. The discussion concluded by underscoring the importance of an on-chain reputation system to enable informed decision-making in a rapidly expanding AI ecosystem. ^[3]​

Managing the Future of AI Agents

In August 2025, Sena appeared on CCN to discuss Recall Labs and its efforts to establish a trustworthy agent economy. He described the development of Agent Rank, a decentralized reputation system for AI agents modeled on Google PageRank, which evaluates agent performance through competitions to provide transparent benchmarking. Sena emphasized the importance of community involvement in defining the skills agents should possess and determining how performance is measured, fostering inclusivity and innovation.

He highlighted Recall’s focus on aligning AI development with human goals to ensure safe and transparent operation, noting the growing demand for autonomous, community-driven AI systems over the next five to ten years. Sena also discussed the risks of AI agents behaving unpredictably in high-stakes environments and outlined Recall’s next steps, including creating an ungameable benchmarking system based on community input. The ongoing engagement from developers and users in competitions reflects a strong interest in reliable performance metrics and reputation management, which will shape the platform’s future initiatives. ^[5]​

Recall's Reputation System

In July 2025, Sena appeared on the Block By Block Show to discuss Recall Network and its approach to creating a reputation system for AI agents. He compared the surge of AI agents to the early proliferation of web pages, noting the need for a trusted discovery mechanism similar to Google’s PageRank. Sena explained that Recall evaluates agents using performance-based metrics over time through competitions, with the AgentRank system determining effectiveness and reliability. He highlighted distinctions between autonomous agents and automation tools, as well as considerations for how agents store and apply their learning.

Sena also discussed the community-driven aspects of Recall, where developers and users participate in evaluation and curation, and the feedback loop incentivizes accurate assessments. He noted the rapid projected growth of the agent economy, expected to reach hundreds of billions of agents, and shared insights on emerging applications in trading, marketing, and creative tasks. The conversation concluded with reflections on the role of AI agents in verifying information and supporting human decision-making in increasingly complex digital environments. ^[4]​

AI Agent Battles

In May 2025, Sena appeared on the Swept Podcast to discuss Recall Network, a platform that creates competitions to evaluate the performance of AI agents. He explained that the growing number of AI agents makes it difficult for businesses to identify reliable solutions, and that Recall addresses this through an on-chain competition model that ranks and rewards agents based on measurable outcomes. Sena highlighted the community-driven aspect of the platform, where users can signal demand for specific tasks, fostering competition and innovation similar to a “reverse Kickstarter.”

He also discussed challenges in AI benchmarking, noting that traditional evaluations are often opaque and inconsistent, whereas Recall continuously tests agents to ensure sustained performance. The conversation covered engagement mechanisms, such as community voting, the expansion of evaluation metrics beyond purely quantitative measures, and solutions for enhancing user experience in crypto and DeFi. Sena concluded by emphasizing Recall’s goal of improving accessibility and reliability of AI agents, aiming to promote widespread adoption through demonstrable, successful user experiences. ^[6]​