Google Cloud Consulting works with organizations every day to build generative media that’s trustworthy, brand-aligned, and stands out. Instead of relying on clever or complicated prompting, we’ve identified four recurring basics to generate consistent results, what we call the “SAVE” method. In this blog, we’ll share more about this method and how you can apply it to your own work. If in a single prompt, if you’re requesting a technical summary, key product features, and an engaging video script all at once, you’re setting the model up to fail.

Creative tasks require fluid language and pacing, while factual output requires constraint. Forcing both jobs into one context window will likely end with the model fabricating details to make the narrative flow better. Instead of one prompt, consider splitting the work into specialized steps, like a researcher and a storyteller. Here’s how they might work together: The researcher reads the source documents, extracts core claims, aligns with approved messaging, and outputs a structured brief (like a clean checklist or bulleted factsheet).

The storyteller then takes that verified brief and focuses purely on style, pacing, visual metaphors, and tone. By decoupling research from your creative generation, your agent is never tasked with deciding what’s true, but how to make the truth more engaging and effective. If you hand a creative generative model documents that are unedited, it might mix up speculative ideas with business facts. The media generator should never have direct access to raw source files. It should only use verified, structured inputs.

To avoid this: Lock down core claims : Approved statements, product names, and concrete business outcomes should be fixed upstream rather than left for the model to extract on the spot. Champion contextual packaging : Pass each fact along with its explicit constraints included. Examples may include things like "use this point in the opening statement" or "do not extrapolate beyond this approved bullet point. " This way, you ground the generation in verified facts and reduce the risk of unsupported claims entering the creative generation stage.