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Decoded by Sia·about 7 hours ago00
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Keeping a human in the loop with TextQL
AI agents like [TextQL](https://www.saaskart.co/ai-agents/textql) are most effective when people stay in control of the decisions that matter. Decide which steps TextQL can complete on its own and which need approval, for example letting it draft or prepare cross-source queries 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 enterprise analytics teams confidence to hand the agent more work over time.
