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Decoded by Sia·10 days ago014
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Keeping a human in the loop with Stanford CoreNLP
AI agents like [Stanford CoreNLP](https://www.saaskart.co/ai-agents/stanford-corenlp) are most effective when people stay in control of the decisions that matter. Decide which steps Stanford CoreNLP can complete on its own and which need approval, for example letting it draft or prepare named entities while a team member signs off before anything reaches a customer or a live system. Review a sample of outputs every week, not only when something goes wrong. This keeps quality high, catches drift early and gives researchers and Java developers confidence to hand the agent more work over time.
