daBongo LMS AI Training Courses

Lesson Content

Content type specification.

Magic Write produces more targeted output when the content type is specified explicitly: "a social media caption" vs. "text"; "an email subject line" vs. "a sentence"; "three benefit bullet points" vs. "content about the product." The content type sets the format expectation for the generation – specifying it produces output that structurally fits the intended design element.

Tone and brand voice direction.

Including tone direction produces output that fits the intended brand voice: "professional and authoritative," "playful and casual," "warm and conversational," "energetic and motivating," "minimalist and clean." Specific brand voice attributes are even better when available: "bold and empowering like a luxury athletic brand" provides more specific direction than "energetic."

Length and format requirements.

Specify length when it matters for design fit: "under 10 words," "approximately 100 characters," "two sentences," "five bullet points of one line each." AI text generation often produces more content than needed for tight design layouts – length specification reduces the editing required to fit generated text into the design.

Context that improves relevance.

Providing context about the product, audience, or design purpose produces more relevant output: "a caption for a fitness apparel brand's post about their new yoga collection, targeting adults 25-40 who practice yoga regularly" produces more relevant output than "a caption about yoga." Context specificity is worth the extra prompt length for professional design work.