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Master of the Lake (Teach an LLM to Fish)

ajaxStardust 2026年08月04日 14:39 3 次阅读 来源:Dev.to

Give an LLM a fish, feed it for a millisecond. Teach an LLM to fish, and become Master of the Lake! I've just published "Master of the Lake" - available for listening EXCLUSIVELY at tvox.online/books/1 . (Nudge, nudge, NoStarch...) This work represents the culmination of years developing Contract Style Comments (CSC) as a practical interface for governing AI agents in what I'm calling the "Agentic Epoch" - an era where AI agents are no longer passive tools but active participants in our systems. The Interface Problem We've spent decades refining how humans interact with computers: command lines, GUIs, touch interfaces, voice assistants. But we've largely ignored the critical interface problem of our time: how do humans govern AI agents? Most AI tooling focuses on making agents more capable - better at generating code, more creative in design, more persuasive in writing. But capability without governance creates dangerous systems that appear functional while silently drifting from intent. CSC provides the missing interface layer: a structured way for humans to specify, verify, and maintain governance over agent behavior. Beyond Prompts: The CSC Interface Prompt engineering treats agents like fickle genies - rub the lamp the right way and maybe you'll get what you want. But this approach fundamentally misunderstands the agentic relationship. CSC shifts us from: Prompting (hoping the agent understands) To: Contracting (explicitly defining what the agent must uphold) The interface consists of three interconnected files: contract.md - The operational interface: what the agent must do why.md - The explanatory interface: why those requirements exist invariant.md - The boundary interface: what can never change This isn't just documentation - it's a verifiable interface that agents can check against continuously, making the alignment gap visible before it causes harm. System Silent-Death: Why Interfaces Matter We used to fear system crashes - honest failures that clearly ind

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