CREATE: How content creation works with AI
Before delving deeper into content creation with the help of AI, it's important to clarify the context. Before the creative process begins, companies need to identify where, specifically, they need support.
AI can be activated through various triggers. It can, for example, identify gaps in existing content, highlight specific features or characteristics, and create content based on an analysis of market trends. Similarly, it can adhere to style guides, formatting requirements, and policies to ensure stylistic consistency across all published content throughout the company.
Companies need to start by establishing the basic structure of their AI-assisted content creation. The next step is to find a way to provide users with access to that tool. That usually takes the form of a a dedicated user interface. The user then simply clicks on a specific button (or another element in the user interface) to employ AI.
PROMPT: Ask and ask again — until you get your desired result
Once the AI assistant is activated, the user can give it instructions or ask it questions (i.e., prompt it) with language that feels natural to them. This allows the user to generate product descriptions, retrieve information on specific asset classifications, and get assistance with other content-related tasks.
The AI works with advanced natural language understanding (NLU) to interpret the user's instructions. Based on the user's inputs and the previously defined context, the AI generates appropriate content. This content can take the form of marketing materials, product descriptions, blog posts, social media updates, and more.
Once the AI has created the content, the interface presents it to the user for review. The user then has the opportunity to evaluate the quality, relevance, and accuracy of the generated output. If the content meets the requirements, it can be integrated into marketing materials or activities. If the result is not yet refined, the user can ask the AI assistant to generate additional content. In this case, it helps to clarify instructions or request specific changes.
EDIT: How content editing works with AI
This process starts with the user selecting existing content for editing. This can include text, images, documents, videos, audio files, or other digital assets that need to be altered or improved.
The user then provides instructions to the AI assistant in regards to how the content should be edited. They can use specific commands to improve overall asset management and organization, including adjusting image content, adding relevant keywords or notes to a video, adapting metadata for a file (such as image resolution), or correctly categorizing assets.
Again, the AI assistant uses natural language processing to interpret the instructions, then edit the selected content as requested. After the AI has completed the edits, the user can review and refine the result. As with content creation, the more precise and specific the content editing instructions, the closer the generated content will be to the desired outcome.