Cakie

The rise of AI agents has created a new bottleneck: prompt engineering. We've spent the last year learning how to talk to LLMs, but the next generation of tools is realizing that showing might be more powerful than telling. Cakie, spotted on Product Hunt (https://www.producthunt.com/products/cakie-2), sits right at that intersection: it takes screen recordings—the raw, messy documentation of how we actually work—and converts them into prompts that AI agents can execute. That's a clever pivot from text-based instruction to demonstration-based automation. This fits a broader trend I've been tracking: the 'multimodal turn' in AI workflows. Just as vision models unlocked image understanding, screen recordings provide a rich, temporal context that text alone often misses. A prompt like 'fill out this form' is ambiguous; a recording shows exactly which fields, which order, which tooltips. Cakie is essentially turning the screen into a specification language for agents. For startups, this means the barrier to automation just dropped significantly—you don't need to be a prompt wizard to encode a process. There's also a fascinating secondary effect: recorded workflows become reusable assets. Once you've captured a process, you can share it with your team, version it, even potentially sell it as a template. We're likely to see marketplaces for 'workflow recordings' emerge, much like prompt marketplaces did in 2023. The founders who start capturing their operational knowledge today will have a head start when that economy takes shape. Of course, challenges remain. Screen recordings can be noisy, contain sensitive information, and the quality of the resulting prompt depends heavily on the underlying AI's ability to interpret visual sequences. But the direction is unmistakable: the future of human-AI interaction is not just text—it's context, motion, and demonstration. Cakie is a small but telling signal that the agentic AI wave is moving from chat interfaces to real-world workflow capture. Keep your eyes on this one.