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@@ -343,6 +343,22 @@ distance, a person, next appointment twice).
reads Italian digits right (13:37, 26 settembre 2026, 6549,67 euro).
English decimals come out split ("six thousand ... forty nine. sixty
seven"): the phonemizer takes the point as a full stop.
+- **Misheard words send it to the wrong tool.** Whisper wrote "Che ori
+ sono?" (twice in one day); once the model answered with Rome's weather,
+ "Rome,IT" being the example in the weather tool's place description.
+ 10 runs of "Che ori sono?": temperature 1.0 4 stray tool calls, 0.6
+ 1, 0.6 plus "the user's words come from speech recognition and may
+ contain misheard words: read them by how they sound" in the system
+ prompt 0 (2 of 10 gave the date only). Same hint: finance and weather
+ questions still 10/10 on the right tool. "Che ore sono?" heard right:
+ 20/20 at either temperature.
+- **Beam search in whisper** (2026-09-26). 10 clips of the user's short
+ questions (it/en, 3 s, `/data/voice-models/samples/stt/`, personal voice
+ data, never in the repo), `language=auto`: greedy 8/10 (0.80 s), beam 5
+ 9/10 (0.86 s), initial prompt of typical questions 9/10 but "Ho nuove
+ mail?" came back as "." (lost question), beam + prompt 9/10. **Beam 5
+ chosen**, prompt rejected. "ori" did not reproduce in these clips, so
+ the misheard-word hint above stays.
- **It gets weekdays wrong from dates** ("mercoledi 29" for a Tuesday).
`agenda.py` prints the weekday itself; right since.
- It searches for general knowledge too (a question about a well-known