Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Three discount tiers reshape effective AI cost: cached read (10% of input rate), batch (50% off), and committed volume (negotiated). Real OpenAI/Anthropic/Google numbers and a 100M-token worked example.
Human turn gaps run 200-300ms. Most agents hit 800-1500ms. We unpack VAD vs semantic turn detection, duplex audio pipelines, and CallSphere's per-vertical barge-in thresholds.
Crews give agents autonomy; Flows give you precise control. The 2026 production answer is to nest one inside the other — Flows as the spine, Crews as the muscle. Real CallSphere examples and a decision matrix.
Voice agents emit ASR latency, TTS latency, barge-in counts, and turn-level token use. TimescaleDB's hypertables + continuous aggregates handle billions of rows while keeping dashboards under 200 ms.
92% of nonprofits use AI but only 7% report major impact. The gap is voice — AI voice campaigns reach mid-tier donors humans never call. Here is the compliant nonprofit fundraising build.
VS Code Copilot, Cursor, and Claude Code render syntax-highlighted code blocks with copy and apply buttons. Here is how 2026 chat agents emit, render, and execute code inline.
When the caller interrupts, you have ~200ms to detect and ~300ms to stop. We engineer full-duplex barge-in with VAD, echo cancellation, buffer flushing, and context tagging — production-grade for 2026.
Off-the-shelf WAFs don't parse SIP and bypass WebSocket payloads. Here is the 2026 rule set that catches WebRTC-specific abuse: SDP injection, WS protocol smuggling, and TURN allocation floods.
NAR's 2026 Code of Ethics extends MLS standards to AI, and California AB-723 makes undisclosed AI-altered listing photos a misdemeanor. Here is the buyer-agent AI compliance map for 2026.
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