Nightframes: The AI Agents Charles Says Come After Smart Contracts

Charles Hoskinson presented Nightframes at Midnight City Tokyo as a possible successor to the smart contract: a private, always-on agent that can understand identity, intention and personal context while producing proof of what it did. Peter breaks down the idea in plain English and asks what changes when an AI agent is owned by its user rather than a large platform. The episode explores selective medical-data sharing, rentable AI skills, agents with wallets and spending rules, and Midnight City as a low-stakes environment for testing autonomous behaviour. It also separates the vision from what still needs to be demonstrated, including verifiable receipts, practical privacy controls and a Nightframe running on an ordinary phone. Chapters: 0:00 Charles Introduces Nightframes 0:55 Beyond Smart Contracts 1:58 Identity, Intent and Intelligence 3:11 Who Owns Your AI? 4:51 Private Medical Data 6:06 Renting AI Agent Skills 7:48 Why Agents Need Wallets 8:56 Trust, Limits and Proof 10:00 Midnight City's Test Environment 11:48 Agents That Work for You 12:25 What Still Needs Proving What you'll learn: - Charles Hoskinson describes Nightframes as private, always-on agents that follow user intent and can prove what they did. - Nightframes are intended to be non-custodial and decentralised so the user controls the agent, its identity and its data. - Selective disclosure could let a traveller prove essential medical facts without handing a clinic their entire health history. - A Nightframe skill marketplace could let creators rent specialised AI capabilities without exposing the underlying method. - Autonomous agents need wallets, but useful safeguards also require spending limits, approved purchases and verifiable receipts. - Midnight City is presented as a low-stakes environment where Nightframe behaviour can be tested before real money or personal data is involved. - Peter wants to see Nightframes demonstrate checkable proofs, private skill rental and practical operation on an ordinary phone. Links & References: Midnight City website: - https://link.learncardano.io/VJm2gD Charles presentation at Midnight City Tokyo: - https://link.learncardano.io/mLvRuG Website: https://link.learncardano.io/bQ68Rc X/Twitter: https://link.learncardano.io/3a1Qtv Disclosure: Midnight is a paid partner of Learn Cardano. This episode reflects Peter’s own views. Disclaimer: This content is for educational purposes only. Nothing constitutes financial or legal advice. DISCLAIMER: This content is for informational and educational purposes only and is not financial, investment, or legal advice. I am not affiliated with, nor compensated by, the project discussed—no tokens, payments, or incentives received. I do not hold a stake in the project, including private or future allocations. All views are my own, based on public information. Always do your own research and consult a licensed advisor before investing. Crypto investments carry high risk, and past performance is no guarantee of future results. I am not responsible for any decisions you make based on this content. 🔗 https://www.youtube.com/watch?v=Fq8FhvxET2k Subscribe to the audio podcast: 🔗 https://bit.ly/learncardano-spotify 🔗 https://apple.co/3jEPM8C 🔗 https://learncardano.io/ Follow on Social: 🔗 https://x.com/learncardano 🔗 https://facebook.com/learncardano