Great content needs great context

daydream absorbs company-specific data sources to maximize the quality of content output

At daydream, we understand that great content stems from a blend of natural language processing and robust context—just like how a human writer combines their knowledge with external sources. daydream mirrors this model, enhancing the quality of your content through powerful data imports that feed into our content generation engine.

How it works

daydream is powered by our Comet article creation architecture that serves as the brains behind the content creation. It synthesizes both external data (public data available on the web) and internal data (proprietary company data) to produce high-quality content that’s company specific, something that pre-trained models like GPT-4o alone are unable to do.

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External data imports

With daydream, you can import data from any URL to create fresh, relevant content that extends beyond the knowledge limitations of GPT-4’s training cutoff. This allows you to seamlessly integrate up-to-date information from news articles, blog posts, or public datasets directly into your content workflow. Using a pre-trained model is like asking a writer to ignore any data published in the last year, but with daydream, you can enhance your content with real-time data sources from across the web, ensuring superior context and relevance.

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Internal data imports

Your company’s proprietary data is just as valuable, and with daydream, you can easily upload context on your product, user behavior patterns, and other proprietary data points that you’ve collected. This ensures the content crafted is backed by the most relevant, detailed context specific to your business. Great content should reflect a deep understanding of your ideal customer persona, business, and users, and daydream allows seamless importing of internal data to make that possible.

Why context matters

Absorbing company-specific data sources to enhance content quality.

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