Beyond the demo: Building the WebAI Playbook
summary
Claims that a persistent playbook vacuum causes demo-to-production signal loss and maps solutions across three execution worlds: cloud AI, web AI (client-side with zero-cost inference), and hybrid AI. Recommends using built-in AI APIs for a fast paved road or WebGPU/WebNN/WebAssembly for the open field, and asserts a game-changing economic shift where marginal cost per play goes to zero, enabling proactive, low-friction UX patterns and an “artfully applied” approach that augments workflows rather than adding noisy, separate features.
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chapters (13)
- 0:00WebAI Playbook challenge
- 1:29AI experience worlds
- 2:51Paved road vs open field
- 3:55Quick AI deployment
- 4:37Maximum flexibility
- 5:40Client-side AI principles
- 7:04Client-side inference
- 8:11Proactive UX patterns
- 9:35Avoiding AI feature trap
- 10:37AI workflow augmentation
- 11:44Community playbook
- 12:47Living WebAI Playbook
- 13:29Contributing and next steps
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