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Jev Accuracy in Voice Agent Evals: Where It Fails on Calls
Jev scores clean calls well, but it can't abstain. See where Jev accuracy breaks on real calls, how forced answers skew QA metrics, and how to fix it.

Replacing Manual Test Calls on a LiveKit or Pipecat Agent: How to Automate Voice Agent Testing With a Small Team
Break a 30-minute manual test call session into 16 checks, then automate them in four layers on LiveKit or Pipecat, with cost math and flake control.

Voice Agent Prompt Versioning: Shipping Prompt and Flow Changes to an In-House Voice Agent Without Breaking Live Calls
Voice agent prompt versioning for LiveKit and Pipecat: pin each call to a release, gate on pass^k, size the canary, and roll back without dropping calls.

Deepgram Flux vs Nova-3 for Voice Agents: Accuracy, Turn Detection, Latency and Cost
Flux or Nova-3 for a phone voice agent? Verified features, pricing at 50k to 500k calls, what each latency number means, and a bake-off you can run.

LiveKit Call Recording and Pipecat Audio Recording: Stereo Recordings, Egress and Per-Call Metrics
Record LiveKit and Pipecat calls in stereo: Egress channel routing, AudioBufferProcessor, Twilio dual-channel, clock alignment, storage math, metric code.

Running LiveKit Agents on Kubernetes: Scaling, Draining Calls and Safe Releases
LiveKit agent Kubernetes guide: how agent servers decide they're full, cgroup load traps, drain math for live calls, job-based autoscaling, safe canaries.

LiveKit Noise Cancellation Self-Hosted: Krisp, BVC, AEC and How to Test Them
What runs on self-hosted LiveKit for noise and echo: Krisp, BVC, open-source filters, AEC warmup, and a test plan with SNR beds, WER and barge-in rates.

Measuring Pipecat Latency Stage by Stage: Metrics, Observers and the Numbers That Lie
Measure Pipecat latency stage by stage: what each TTFB times, how UserBotLatencyObserver splits a turn, and how to check it against a call recording.

Deepgram Flux vs Silero VAD vs a Turn-Detector Model: Which End of Turn Detection Voice Agent Method to Use
Silence timers, Deepgram Flux, LiveKit and Smart Turn models, and semantic VAD compared: defaults, published benchmarks, the stacking trap, and a test.