Ideas Weave Every Narrative with AI.
After eight years building AI across Baidu, fintech, and ByteDance, one truth is clear: we are building AI wrong. From treating token costs like premium features to forcing users into endless chat loops, the industry is missing the point. The real future of AI isn’t human-to-machine conversation—it’s autonomous agents trading services behind the scenes. Here are the five brutal truths every product manager needs to hear.
Most AI agent demos fail in production not because the model is dumb, but because the framework made too many irreversible decisions for you. Pi Agent challenges the feature-stacking status quo with a minimalist architecture that hands control back to developers. Discover why the platform, not the model, is your real moat.
Most AI products don’t die from competition; they get eaten by the next model update. This article reveals how AI product managers must shift from chasing tools to defining responsibility boundaries, embedding AI so deeply into workflows that removing it breaks the business. It’s a manifesto for surviving the AI value compression.
The age of prompting is over. The smartest engineers are no longer typing commands into AI agents. They’re designing autonomous loops that prompt the agents for them. This is Loop Engineering, a shift from human operator to system architect. The future belongs not to those who can write the best prompts, but to those who can build the systems that make prompts obsolete.
A free skill pack from Anthropic turns any AI agent into a dashboard factory. Non-technical users can generate interactive, self-updating HTML dashboards in under five minutes – no code, no BI tools, no waiting for developers. The twist: it’s a reusable system, not a one-time template.