Episode Details

This story was originally published on HackerNoon at: https://hackernoon.com/agents-without-context-go-off-the-rails.
Enterprise AI agents are powerful but unreliable without context. Here’s why the trust gap is widening—and how contextual indexing may fix it.
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AI agents are advancing fast, but without enterprise context they generate flawed code, false citations, and risky automation. As adoption grows, trust erodes due to hallucinations and verification overhead. The real bottleneck isn’t model size—it’s missing institutional knowledge. Platforms like Naboo are exploring contextual indexing to ground AI in live enterprise systems and reduce risk.