

Interviews are fluid conversations, not monologues. When an interviewer interrupts with new constraints or questions, Azara automatically handles the transition without losing context.
Engineered specifically to solve high-stakes evaluation bottlenecks with zero telemetry footprint.
Filters out brief conversational probes ('right', 'and then?'). Only classifies true topic shifts as new questions after 8s of streaming and 10+ words.
Calculates semantic cosine similarity between the active question and new utterance. Follow-ups are appended as sub-context rather than wiping current answers.
Requires 88%+ confidence on question intent and uses acoustic diarization to ignore candidate echo or background noise.
Shows a 4-second interactive banner: [Keep Current Answer] or [Answer New Question] so you stay in total control.
End-to-end execution flow from acoustic capture to on-screen prompter delivery.
While you are reading a streaming answer, the audio pipeline continues monitoring incoming soundwaves.
New speech runs through Time, Length, Confidence, Semantic, and Speaker verification in parallel.
If it is an affirmative comment, it is ignored; if it is a clarifying constraint, it merges into the existing answer.
If a brand new question is confirmed, the teleprompter pauses smoothly and begins streaming the new solution.
Low-level protocol specifications, latencies, and security parameters.
Answers to common questions regarding detection safety, configuration, and performance.
Azara's length and energy gates immediately discard utterances under 10 words or with neutral acoustic intonation, preventing false generation triggers.
Yes. Simply press Esc at any time to instantly cancel the active stream and clear the teleprompter buffer.
Azara utilizes a 'Fail-Open' architecture: if network latency spikes on the classifier, it falls back to fast-path heuristics so your interview never hangs.
Azara operates as a unified intelligence OS. Combine multiple capabilities for 100% loop coverage.
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