Running an AI interviewer fully on-device with Gemma 3 1B — and engineering around what a 1B model can't do
Article summary
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I built an Android app that runs a mock DevOps job interview with an AI interviewer that lives entirely on your phone . No cloud API, no OpenAI key, no round-trip to a server. The language model — Gemma 3 1B — is downloaded once and every inference after that runs fully offline, on the subway, on a plane, with airplane mode on. The headline is "on-device LLM." But the honest story is the opposite of the hype: the model was the easy part. The real work was engineering a wall of determinism…
1Key Takeaways
- I built an Android app that runs a mock DevOps job interview with an AI interviewer that lives entirely on your phone .
- No cloud API, no OpenAI key, no round-trip to a server.
- The language model — Gemma 3 1B — is downloaded once and every inference after that runs fully offline, on the subway, on a plane, with airplane mode on.
- The headline is "on-device LLM." But the honest story is the opposite of the hype: the model was the easy part.
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 — ML reports that i built an Android app that runs a mock DevOps job interview with an AI interviewer that lives entirely on your phone .
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