"Start with: "What will the system DO autonomously?" Perplexity: Search + synthesize + cite NotebookLM: Analyze + map + generate formats Then design everything else to enable that autonomy. This inverts traditional software design. Traditional products started with the interface - buttons, menus, workflows - then built backend systems to support them. Intelligence-first architecture starts with autonomous execution and works backward."
"True intelligence-first architecture means intelligence is embedded as fundamental structure, not added as features. Principle 2: Embed intelligence in specific layers Don't bolt AI on as features. Architect where intelligence lives: Perplexity: Intelligence in synthesis layer NotebookLM: Intelligence in knowledge processing layer The intelligence isn't visible as "AI feature" - it's structural. The test for embedded intelligence: Can you remove the AI and still have a functional product? If yes, intelligence is bolted on. If no, it's embedded."
Begin design by specifying what the system will do autonomously, then engineer interfaces and infrastructure to enable that autonomous execution. Intelligence-first architecture shifts business logic from the application tier to an intelligence/execution layer that defines product value. Embed intelligence within specific layers—synthesis and knowledge-processing layers—so the system cannot function meaningfully without it. Test embedding by checking whether removing AI leaves a functional product; if removal breaks core functionality, intelligence is embedded. Avoid bolting discrete "AI features" onto traditional interfaces; instead treat intelligence as foundational structure across the five-layer stack to realize true autonomous capability.
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