""The customer can set up their own tagging system or we can dynamically create that for them,""
""What we'll be doing in the future is really leveraging that knowledge graph to connect concepts and pieces of information, rather than requiring the AI systems to do that on their own.""
""very similar to the Reddit deals,""
Stack Overflow introduced Stack Overflow Internal to turn enterprise Q&A into an AI-accessible format with added security and admin controls. The product feeds internal AI agents using the model context protocol with Stack Overflow–specific variations. Enterprise customers were already using the API for model training, motivating the product direction. Content licensing deals allow AI labs to train on public Stack Overflow data for a blanket fee, with arrangements compared to large platform deals that generated over $200 million. Exported metadata includes answerer, timestamp, content tags, and coherence assessments to create reliability scores informing AI agent trust.
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