AI Voice Agents
Inbound lead qualification and outbound follow-up agents, built on Retell, Vapi, and ElevenLabs, that lifted client conversions by 25%.
I build AI voice agents, chatbots, workflows, and applications
using Claude Code to turn conversations into customers.
Inbound lead qualification and outbound follow-up agents, built on Retell, Vapi, and ElevenLabs, that lifted client conversions by 25%.
Customer-service chatbots that answer questions and book appointments. A 20% engagement increase and dramatically faster response times.
n8n, Zapier, and Make pipelines plus RAG systems that capture leads, sync CRMs, and turn recordings into publishable content. No manual busywork.
Internal tools, dashboards, and web apps built with Claude Code. The AI Proposal Generator in the work below is one: a call transcript goes in, a finished sales deck comes out.
An AI voice agent is software that answers or places phone calls, holds a natural spoken conversation, and then does something with it: qualifying a lead, booking an appointment, or updating your CRM. It is not a phone tree with more options. It listens to what the caller actually wants and responds in real time. I build them on Retell, Vapi, and ElevenLabs.
The channel. A chatbot handles text conversations on your website; a voice agent handles spoken conversations on the phone. The logic underneath is similar: understand the request, answer accurately, take the next action. Plenty of businesses run both: a chatbot for visitors who would rather type, and a voice agent for the calls nobody is picking up.
The common wins are calls that stop going to voicemail, leads that get qualified before they go cold, and appointments that get booked without anyone touching a calendar. On past engagements, voice agents lifted client conversions by 25% and chatbots raised engagement by 20%. Those are real numbers from specific projects, not a promise. Your results depend on your market, your offer, and your lead quality.
Voice agents on Retell, Vapi, and ElevenLabs. Automation pipelines on n8n, Zapier, and Make. Custom applications and internal tools with Claude Code. Retrieval-augmented generation for anything that needs to answer from your own documents. I pick the stack per project rather than forcing every problem through one tool.
Yes. That integration work is usually the majority of the build. The point of an agent is not that it talks. It is that the conversation ends up somewhere useful. That means leads landing in your CRM, appointments on the right calendar, and follow-ups triggering on their own.
There is no fixed price list, because a single-purpose chatbot and a voice agent wired into a CRM, a calendar, and a billing system are very different builds. The free AI audit ends with a scope and a quote, so you see the number before you commit to anything. Paid work only starts once we have both signed an agreement.
It depends on how many systems the agent has to touch. A focused chatbot is a short build; a voice agent that has to read from your CRM, write back to it, and book into a live calendar takes longer. You get a timeline alongside the quote at the end of the audit.
You tell me what is eating your time. I look at where the manual work actually is: missed calls, slow follow-ups, data entry. Then I tell you which parts are worth automating and which are not. It is free, there is no obligation, and if automation is not the right answer for your situation I will say so.
Yes. I am based in Texas and work with clients remotely across the United States.