As AI-powered agents become more autonomous and integrated into Web3 ecosystems, the need for verifiable identity and reputation frameworks has never been greater. Without robust identity mechanisms, AI agents risk becoming untrustworthy, leading to challenges in security, compliance, and interoperability across decentralized applications.

Pivot is organizing a masterclass to address these challenges, providing Web3 builders with the insights and tools needed to create scalable, tamper-proof identity and reputation systems for AI-driven environments. This session will dive into decentralized identity models, trust layers, and the role of on-chain verification in shaping the future of AI interactions.

Objectives

• Understanding decentralized identity frameworks and why they matter for AI agents.

• How to design on-chain reputation models to ensure trustworthy AI interactions.

• Implementing verifiable credentials and privacy-preserving identity verification methods.

• Exploring real-world applications in DeFi, Social media, DAOs, and autonomous AI agents.

• Overcoming challenges in AI identity validation and preventing Sybil attacks.

• Leveraging blockchain-based reputation scoring to enhance AI agent reliability.

Mentor Details

Ravikant Agrawal, Director of Growth at Privado ID - as spun-off from Polygon Labs) is a seasoned Web3 and AI practitioner with deep expertise in digital assets, digital identity, Web3 mobile strategy, and ecosystem growth. With a background in strategy and management consulting, Ravikant has successfully guided global clients in adopting decentralized technologies, leading key initiatives to drive Web3 innovation.

An entrepreneur at heart, he co-founded a blockchain-focused startup, shaping products and business strategies with a winning mindset. A hacker, mentor, and builder, he is passionate about the convergence of Web3, AI, and digital identity—pushing boundaries to shape the decentralized future.

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