AGI has effectively been realized, shifting the current industry focus from model development to product distribution and practical application. Building AI products requires moving beyond simple chatbots toward "Claw-like" agentic systems that function as a "Team of Agents," each handling specific skills while leveraging a unified model. Successful implementation depends on "Harness Engineering"—a framework that treats AI development like traditional software engineering by enforcing rigorous code reviews, automated BDD testing, and strict containerized environments to manage complexity and security. Rather than relying on human-AI interaction as a "fortune-telling" exercise, developers should build robust, automated systems where AI agents initiate tasks and self-correct. Ultimately, the competitive edge lies in creating reliable, vertical-specific agent workspaces that prioritize user empowerment and safety over mere token consumption, enabling ordinary users to achieve tangible economic outcomes.
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