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View all →Direct Corpus Interaction: Why Your AI Agents Need a Terminal, Not Just a Vector Database
Direct Corpus Interaction (DCI) throws away the vector database and hands the agent a terminal — grep, find, sed over the raw documents. No embeddings, no index, no top-k cutoff. Here is how it works, why Claude Code already proved it, where it beats vector RAG, and why the honest answer is hybrid.
Harness Engineering: Why the Scaffolding Around the Model Is the Real Source of Agent Power
Frontier models are converging, so the real differentiator has moved to the harness — the engineered scaffolding of context, tools, loops, verification, and memory wrapped around the model. Here is how harness engineering works, dissected across Claude Code, Cursor, and Devin, and why it produces what we call hyper agents.
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