Posts tagged with "Livekit"

Cekura has an MCP server. Coding agents (Claude Code, OpenAI Codex, Cursor, Windsurf) can trigger voice agent test runs, schedule recurring evals, and review pass/fail results without leaving their editor.

Developer's guide to voice AI evaluation in 2026. Metrics, scenario testing, hallucination detection, persona QA, and per-stack testing for major voice stacks.

LiveKit vs Vapi compared on infrastructure ownership, true per-minute cost, concurrency ceilings and compliance pricing, plus where a QA layer belongs.

Compare the best Vapi alternatives for voice AI APIs in 2026 on pricing, latency, compliance, and telephony. See which one fits best before you switch.

LiveKit Agents is an open-source framework for realtime voice AI. Here is how the SDK works, how to build an agent, and what to test before launch.

We tested 7 AI voice agent testing tools across CI/CD regression, production monitoring, and telephony-layer failures. See which ones actually passed.

I compared the top Livekit alternatives for voice AI teams on pricing, latency, and telephony to find out the pros and cons and what's worth the switch.

LiveKit pricing goes from free to custom, and each tier comes with its own unique set of features. Here's what you get at each level and when to upgrade.

Voice AI for agent orchestration is a crowded category. I ran real call flows on the platforms that matter, including latency, billing, and break points.

Outbound voice AI QA is the practice of simulating, scoring, and load-testing an outbound voice agent before it runs a live calling campaign. This guide covers what to test, how to test outbound voice agents at scale, the compliance checks that matter, and where Cekura fits.

Persona-based voice AI QA tests whether a voice agent stays accurate, consistent, and on-brand across many simulated caller personas. Here is how it works, why it matters in 2026, and how Cekura runs it at scale.