Posts tagged with "Regression Testing"

Run AI agent testing inside CI/CD: version test suites as code, validate free with dry runs, and gate every merge with GitHub Actions. See how Cekura does it.

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.

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.

Test prompts show whether an LLM prompt still works after each change. Learn the methods, copy the examples, and compare tools that catch regressions.

What an AI voice agent agency is, the three business models, what the platforms cost, and the QA layer that keeps client agents from churning callers.

Chatbot automation testing tools decide which failures reach your users. See which caught the planted regression and red-team attacks, and which didn't.

How to test voice AI agents using 7 methods, from scripted calls to red teaming, plus what each catches, what it misses, and the right order to run them.

How to test AI chat workflows before launching? Learn the five methods that surface failures functional testing misses, from sycophancy to load collapse.

Best practices for AI voice agent testing, with honest tradeoffs: 8 rules that catch the failures real callers trigger before they reach production.

Chatbot evaluation goes beyond pass/fail. Learn the 3 methods and 8 metrics engineering teams use to catch failures before production.

Cekura automates regression testing for chatbots: replaying dialogues, comparing outputs, and detecting regressions before deployment.