Insights on Voice AI, GA4, and data analytics
The following are the 15 best practices I follow for improving SMS deliverability for Voice AI: Think of SMS deliverability as four simple questions: 1.
Note: This article is in conjunction with the following articles: Understanding PBX for Voice AI, Overflow and After-Hours Voice AI Receptionist and Understanding Call
This article is in conjunction with the articles: 'Understanding PBX for Voice AI' and 'Overflow and After-Hours Voice AI Receptionist'
For Voice AI solutions, a well-established business with high call volume is an ideal client. But one big problem that I encountered is that
Understanding PBX is crucial because it’s the “traffic controller” for business calls. It decides how calls flow, who they reach, and when AI can
We Build Voice AI Agents That Work Around the Clock. Imagine having a team member who never sleeps, never takes a break, and handles every
We Build Voice AI Agents That Work Around the Clock. Imagine having a team member who never sleeps, never takes a break, and handles every
If your agent sounds like a robot, callers disengage fast. Some get nasty. You'll see it in the transcripts: "Are you a
I built an AI voice receptionist called Olivia for a company in Florida. She answers inbound calls, collects the caller's address and property
If you instruct your voice agent to treat collecting a field (say, the caller's phone number) as required, the agent will do exactly
The voice AI agent (AI Receptionist) for an HVAC company collects lead information during the call. Once the call is over, it sends the lead
Custom dashboards in Retell let you track call, chat, and agent metrics through charts you configure yourself. This guide (47 pages) walks you through everything
If you build voice AI agents, you run tests. You write success criteria. You let an AI grader score the transcripts. Most of the time
Call your voice agent a "receptionist," not an "assistant. Because the word you choose pulls the model toward different patches of training
I added a small section to a voice agent prompt last week. It looks like this. ## CRITICAL: Variable Failure Handling Some lines in your context
# Cold calling means contacting someone who has not previously opted in or given permission. If prior consent exists, it is no longer cold calling; it
I stripped the formatting from my voice agent prompt to save tokens. Here is what it cost me. When I started building voice agents, I
Conductor is the built-in AI assistant from Retell that helps you build and test your Voice Agents using simple English. Conductor is free to
RingCentral is a big name. Their AI receptionist looks polished in a demo. So why pay for something custom-built? The polish you see in
Here is how most Voice AI agencies handle client billing: 1. Log into your provider dashboard. 2. See workspace-level totals. Not per-client. 3.
Mapping dependencies means going through each GA4/GTM/Server-Side Tagging project deliverable and asking: what has to already be true, decided, implemented or accessible
In this article, I show you step by step how I use Claude for conducting GA4/GTM/Server Side Tagging audits in great detail even
What is Conductor in Retell AI? Conductor is the built-in AI assistant from Retell that helps you understand, plan, build, refine and test your
So I want to tell you about something weird that happened while I was building a voice agent this week, because I think it'
This voice AI agent (AI Receptionist) for a law firm can speak in both English and Spanish, collect all the lead information, and work 24/
Understanding the following terms in the context of Google BigQuery Storage can help you make informed decisions about managing your data and optimizing storage costs:
BigQuery cost optimization refers to the process of minimizing unnecessary expenditures while still meeting the performance and data analysis requirements. Contrary to popular belief, Google
It's like a wrench manufacturer calling itself the best HVAC contractor. The wrench matters. But nobody's hiring the wrench to diagnose
I found a cool n8n workflow by a user named 'aliasoblomov' on GitHub, which is worth "studying". It's a
The Conversion Paths report in GA4 shows users’ paths that lead to conversions (conversion events) under a particular attribution model and in a particular time