Always verify and accurately document AI model capabilities, supported formats, and limitations before implementation. Use consistent terminology (e.g., "multi-modal" instead of "multimodal") and validate model features against official documentation sources. When documenting AI functionalities: 1. Be explicit about supported features and limitations 2. Link to official documentation when describing specific capabilities 3. Don't assume cross-functionality unless confirmed 4. Use clear, concise language when describing input formats and parameters Example: ```typescript // GOOD: Accurate, verified documentation with specific capabilities // Groq's multi-modal models like `meta-llama/llama-4-scout-17b-16e-instruct` // support image inputs via URLs or base64-encoded data // Source: https://groq.com/docs/models/llama-4-scout // BAD: Unverified or inaccurate information // OpenAI's o4 model is available (incorrect - only o4-mini is publicly available) // Assuming a model supports certain parameter formats without verification ``` Maintaining accurate documentation saves development time, prevents integration errors, and helps teams properly utilize AI capabilities within their applications.