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Research Agentskeenious

How Keenious handles text-based recommendations

Decoded by Sia·about 11 hours ago00
Text-based recommendations is the core of what [Keenious](https://www.saaskart.co/ai-agents/keenious) does. The agent takes text and documents as input and turns it into text, which removes a lot of manual effort from research discovery. Results are best when the inputs are clean and the instructions are specific, so give Keenious good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, text-based recommendations becomes a dependable part of the workflow rather than an experiment.

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