Posts tagged with "Vapi"

Voicemail detection testing checks whether your outbound agent classifies what picked up, then takes the right branch. The six scenarios that catch real defects, and how to run them on every release.

AI agent optimization for agents hosted on Vapi, Retell or ElevenLabs: how Cekura clones it, measures each edit, and promotes only the winner. See the loop.

Closing the eval loop was the algorithm. Here's the product and the POC playbook that made customers willing to run it on their own production voice agents.

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.

Learn how to build a self-improving voice agent loop that automatically diagnoses failing evals, applies prompt fixes, catches regressions, and iterates to 100% pass rate.

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

Not all voice AI APIs handle real-time audio equally. Testing the best voice AI API for real-time audio processing revealed bigger gaps than you'd think.

I tested Twilio vs Vapi across deployment, billing, and production QA — one comparison turned into three tools solving three different problems.

Vapi vs ElevenLabs solve different jobs, and neither tests itself. Here are the key differences in 2026, plus where a QA layer fits in your voice stack.

PolyAI pricing has no public rate card in 2026. See what the pricing page confirms, what sits outside the per-minute rate, and which buying path fits you.

Which voice AI APIs can be deployed on-premises? 7 researched options across STT, TTS, and orchestration, with air-gap levels, GPU needs, and setup steps.

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.

Compare the 7 top conversational AI platforms with voice CRM in 2026, ranked by how deeply each one reads and writes your records live during the call.

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

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.

Picking the wrong AI voice agent platform can cost you weeks. I tested each one on calls across outbound, support, and enterprise. Here's what survived.

Tested across STT, TTS, and full-stack orchestration in production. So, what is the best AI voice API for developers? It depends on your stack layer.

Voice AI automation is replacing phone agents fast, but most deployments end up failing. Find out how the stack works, and which 7 platforms survived testing.