No BS around Web3 | Wavect is a Web3 interview show centered on products, infrastructure, and the people trying to make blockchain systems useful. It is not a broad crypto news recap. The show is more interested in how a thing works, who it serves, and why a team believes the market needs it. Recent conversations spend real time on AI-native chains, decentralized inference, specialized models, transparent data contribution, and reward systems for people who provide training data. The AI thread is especially prominent. Michael Heinrich discusses AI as a public good and the business logic behind a network for high-scale, privacy-preserving AI applications. Ram Kumar frames OpenLedger around specialized AI on-chain, data contributors, traceable usefulness, and monetization. Catherine Daly brings the product-marketing side into view, explaining why Web3 marketing cannot simply abandon traditional marketing while still needing sharper community and developer focus. The show also makes room for developer infrastructure. Joao Garcia talks through Cartesi's Linux-based app-chain approach, general-purpose libraries, deterministic computation, and use cases that stretch from machine learning to DeFi mechanics. Enterprise adoption gets a more skeptical, practical treatment through Jerry Fragiskatos, with attention to compliance, public chains, private data, and market demand for privacy. Identity appears through Ankur Banerjee's discussion of Checked, Creds.xyz, portable social reputation, and user-owned data. Go-to-market strategy appears through Liam Darmody's reflections on people, products, process, and building inside startups or larger companies. Brand and developer education show up again with Tiago and Kena from Inevitable. Across these episodes, the pacing is conversational but often dense. Guests explain what is different, what is misunderstood, and what a real user or developer would actually do with the technology. The value is in the friction between promise and implementation. Listeners get a picture of Web3 as a product field full of technical tradeoffs, distribution problems, and still-unsettled narratives.