Product / AI-Native Integrator
"True AI integration requires a fundamental shift from deterministic design to probabilistic design."
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The AI-Enhanced Design Pipeline
1. Empathize: Scale with AI
Moving from human interviews to massive data synthesis. Ingest 50,000 support logs into an LLM to find patterns invisible to the naked eye.
2. Define: AI Opportunity Map
Map the problem to the correct AI capability. Synthesis? Use extractive LLMs. Optimization? Use predictive ML. Execution? Use AI Agents.
3. Ideate: Human-Machine Co-Creation
Prompt an LLM to act as a contrarian designer. Generate 20 unconventional ways to solve a problem without a GUI to spark human creativity.
4. Prototype: Wizard of Oz 2.0
Fake the magic before you build the backend. Use a lightweight front-end connected to a raw API to test the interaction model probabilistically.
5. Test: Red-Teaming & Guardrails
Test for probability, not just functionality. Actively try to break the model with edge cases. Evaluate the UX of failure: how easy is it to correct hallucinations?