adminWeb3 Wallet Recovery for AI Agents: Designing Automation Without Permanent Lockout Risk
A product and infrastructure framework for AI agent wallet recovery, delegated authority, revocation and account continuity.
AI Agent Transaction Policies: Turning Natural-Language Intent Into Verifiable Wallet Rules
How AI agents can translate user intent into deterministic wallet policies with limits, approvals and auditable execution.
AI Agent Wallet Permissions: How to Let Agents Transact Without Giving Away the Keys
A practical architecture for AI agent wallet permissions using session keys, spending limits, allowlists, human approval and revocation.
AI Agents Meet Web3: Why Wallets Could Become the Action Layer for Autonomous Software
A practical look at how AI agents, wallets, permissions and smart contracts can work together—and where identity, security and user control become essential.
AI Social M&A: What Strategic Buyers Should Evaluate Before an Acquisition
An acquisition checklist for AI social businesses covering retention, identity rights, creator concentration, inference economics, safety and technical portability.
AI Creator Platform Take Rate: How Much Revenue Should the Platform Keep?
How to analyze AI creator platform take rates across inference cost, payments, discovery, creator services, margins and long-term marketplace incentives.
AI Social International Expansion: What Changes Across Languages and Markets?
A business framework for AI social international expansion across language quality, creator supply, cultural norms, payments, safety and local retention.
AI Companion Marketplaces vs Single-Character Apps: Which Model Scales Better?
Compare AI companion marketplaces with single-character apps across acquisition, retention, creator supply, brand, unit economics and defensibility.
AI Social Network Effects: When More Users Actually Make the Product Better
An investor framework for distinguishing real AI social network effects from ordinary growth across users, creators, data, discovery and interaction quality.
AI Social Retention: How Investors Should Read D1, D7 and D30 Behavior
An investor framework for reading AI social retention through activation, cohort behavior, relationship depth and inference economics.
