Building a 3-tier on-device AI concierge: Gemini Nano -> MiniLM -> keyword, $0/query
Article summary
Quick briefing — cleaned from the original RSS feed
Most "AI chat widget" tutorials assume you're calling out to an LLM API. This post is about the version where you don't -- where the model runs in the visitor's own browser, the cost per conversation is exactly zero, and nothing about what someone asks ever leaves their machine. The problem with the obvious approach A server-side LLM call is simple to build and expensive/slow/privacy-leaky to run at scale on a marketing site that gets real traffic. For a small business's website, "every…
1Key Takeaways
- Most "AI chat widget" tutorials assume you're calling out to an LLM API.
- This post is about the version where you don't -- where the model runs in the visitor's own browser, the cost per conversation is exactly zero, and nothing about what someone asks ever leaves their machine.
- The problem with the obvious approach A server-side LLM call is simple to build and expensive/slow/privacy-leaky to run at scale on a marketing site that gets real traffic.
- For a small business's website, "every….
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that most "AI chat widget" tutorials assume you're calling out to an LLM API.
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