Everyday AI: Practical Applications Beyond the Chatbot
summary
Promises a hands‑on ChatGPT app using PgVector, Langchain and embeddings, but the session actually demos everyday AI: a 1960s Eliza clone (surprisingly 420 lines of code), live speech recognition and synthesis shown as a two-line JS speech synthesis example, trivial haptic control via a vibrate one-liner, and smart‑home routines (Nest thermostat, voice unlock, vacuum schedules, Thread/Matter device mesh) that already work. Pick this if you want concrete multimodal, accessibility and device integration examples; skip it if the primary goal is building a RAG pipeline with PgVector and Langchain.
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chapters (7)
- 0:00Introduction
- 6:54Beyond chatbots
- 12:55Multisensory interfaces
- 20:47Multi-experience architecture
- 27:43Smart home AI
- 44:04AI in everyday tech
- 53:03Universal design challenge
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