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In this episode, Danny McMillan discusses the pitfalls of relying solely on AI for design automation, emphasizing the importance of human creativity in the design process. He introduces DesignLoop, a tool designed to help sellers generate high-quality images and videos while maintaining a human touch. This episode explores ai in design automation, importance of human creativity in marketing with practical insights for immediate implementation.
We've been building DesignLoop, a human-in-the-loop creative studio for images and video. I'll roll it out to the community soon - you just plug in your API keys and pay for what you use. No subscriptions, and here's the bonus: it's actually a lot cheaper than plugging directly into OpenAI and Google. We have had a few delays, scrapping it three times in the last few weeks and then building it again. The upside? We've built in a video storyboard Framework with rhythm-based pacing and multi-shot sequences, image recognition with Claude Vision, system logic level prompts tuned to each model, slash commands with a prompt library, and plenty of guardrails reducing expensive sling - shot slop, all while being significantly cheaper per second. Key Takeaways"The heartbeat of the industry is the seller; we need to support you."
Resources Mentioned 🔧 Tools & Platforms:
By Danny McMillan4.8
6262 ratings
In this episode, Danny McMillan discusses the pitfalls of relying solely on AI for design automation, emphasizing the importance of human creativity in the design process. He introduces DesignLoop, a tool designed to help sellers generate high-quality images and videos while maintaining a human touch. This episode explores ai in design automation, importance of human creativity in marketing with practical insights for immediate implementation.
We've been building DesignLoop, a human-in-the-loop creative studio for images and video. I'll roll it out to the community soon - you just plug in your API keys and pay for what you use. No subscriptions, and here's the bonus: it's actually a lot cheaper than plugging directly into OpenAI and Google. We have had a few delays, scrapping it three times in the last few weeks and then building it again. The upside? We've built in a video storyboard Framework with rhythm-based pacing and multi-shot sequences, image recognition with Claude Vision, system logic level prompts tuned to each model, slash commands with a prompt library, and plenty of guardrails reducing expensive sling - shot slop, all while being significantly cheaper per second. Key Takeaways"The heartbeat of the industry is the seller; we need to support you."
Resources Mentioned 🔧 Tools & Platforms:
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