Blog
Page 16 of 47
Decision Model Benchmark: How to Test Jev, OpenAI Decisions and LLM Judges on Your Own Calls
A reusable protocol to benchmark Jev, OpenAI Decisions and LLM judges on real calls: sample sizes, kappa, ECE, flips, order tests, p95 latency, cost.
OpenAI Decisions API vs Jev: Which Is Better for Voice Agents? (2026)
Jev is about 2.4x cheaper ($0.042 vs $0.10 per 1M tokens) with published p95 latency. Decisions API adds images, refusals and ZDR. Which fits voice?
Auditing AI Payment Arrangement Calls for FDCPA Risk
Audit AI payment arrangement calls: diff spoken plans against the ledger, check fees, Reg E autopay consent and Reg F limits, with a 12-point rubric.
How to QA Drive-Thru Voice AI Across 500 Stores
One passing store proves little. A store-stratified plan for drive-thru voice AI QA: variance factors, canary stores, sample-size math, gates and rollback.
AI Pizza Phone Ordering: Why Half-and-Half Orders Break
Why AI phone ordering for pizza breaks on halves, quarters, deals and pizza references, how each error reaches the kitchen ticket, and how to test it.
AI Phone Ordering for Restaurants: The 2026 QA Playbook
How to QA AI phone ordering for restaurants: menu modifiers, the call-to-POS workflow, per-location configs, order-diff scoring and a readiness checklist.
Voice AI for Lenders and Insurers: QA and Compliance Guide
Voice AI for lenders and insurers: what each call must capture, what a speech error corrupts, which rule applies, and how to test every client config.
Using OpenAI's Decisions API with GPT-Live in a Voice Agent: Client Delegation, Action Choices and Routing
Wire OpenAI's Decisions API to GPT-Live with client delegation: exact events, a phone action catalog, Python code, safety gates, latency, cost and tests.
Jev vs LLM: The Key Differences, and When to Use Each
Jev vs LLM: an LLM writes text, Jev returns typed, calibrated decisions in milliseconds. 8 differences, side-by-side code, and the Jev alternatives.