To bridge the gap between design and code, use a control panel library like Leva. Ask your AI assistant to implement it, giving you real-time sliders and inputs to fine-tune animation timings, easing curves, and other interaction parameters without constantly rewriting code.

Avoid writing long, paragraph-style prompts from the start as they are difficult to troubleshoot. Instead, begin with a condensed, 'boiled down' prompt containing only core elements. This establishes a working baseline, making it easier to iterate and add details incrementally.

Most generative AI tools get users 80% of the way to their goal, but refining the final 20% is difficult without starting over. The key innovation of tools like AI video animator Waffer is allowing iterative, precise edits via text commands (e.g., "zoom in at 1.5 seconds"). This level of control is the next major step for creative AI tools.

Developers can create sophisticated UI elements, like holographic stickers or bouncy page transitions, without writing code. AI assistants like CloudCode are well-trained on animation libraries and can translate descriptive prompts into polished, custom interactions, a capability many developers assume is beyond current AI.

Hera's core technology treats motion graphics as code. Its AI generates HTML, JavaScript, and CSS to create animations, similar to a web design tool. This code-based approach is powerful but introduces the unique challenge of managing the time dimension required for video.

Avoid the "slot machine" approach of direct text-to-video. Instead, use image generation tools that offer multiple variations for each prompt. This allows you to conversationally refine scenes, select the best camera angles, and build out a shot sequence before moving to the animation phase.

Instead of manually learning and implementing complex design techniques you find online, feed the URL of the article or example directly to an AI coding assistant. The AI can analyze the technique and apply it to your existing components, saving significant time.

Instead of asking AI to perfect one animation, MDS prompted it to "create five vastly different hover effects." This divergent approach uses AI as a creative partner to explore the possibility space, revealing unexpected directions you might not have conceived of on your own.

Instead of trying to write a complex prompt from scratch, first create the perfect output yourself within a ChatGPT canvas, polishing it until it's exactly what you want. Then, ask the AI to write the detailed system prompt that would have reliably generated that specific output. This method ensures your prompts are precise and effective.