It's conceptual experience VS empirical experience. AI demos might be perfect to scaffold a big broad ideas, but when it comes down to making a MVP, it requires engineering, thoughts, management, visions, reliability, stability, effectiveness, efficiency, milestones, agility, adaptivity, extensibility ....... Nevertheless, target audience and clients could both spontaneous, and until your client is happy, it's not over. I'd say there's nothing wrong with the deployment as no product is perfect at version 1.0 - it's the plan we (client, target audience, and product vendors) have to make to counter all these risks. It's still human-drive, AI-augmented.
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It's conceptual experience VS empirical experience. AI demos might be perfect to scaffold a big broad ideas, but when it comes down to making a MVP, it requires engineering, thoughts, management, visions, reliability, stability, effectiveness, efficiency, milestones, agility, adaptivity, extensibility ....... Nevertheless, target audience and clients could both spontaneous, and until your client is happy, it's not over. I'd say there's nothing wrong with the deployment as no product is perfect at version 1.0 - it's the plan we (client, target audience, and product vendors) have to make to counter all these risks. It's still human-drive, AI-augmented.