Stop Losing Revenue to Missed Calls & Slow Follow-Up
Custom AI agents that answer, qualify, quote, and book— from day one.
No hiring delay. No training ramp. No payroll overhead. I build inbound receptionists, outbound speed-to-lead agents, and quoting agents tailored to your business so you capture every opportunity instantly.
The Cost of Waiting
Every day without automation, you pay in missed leads, payroll, and training time.
Annual receptionist cost
Salary, benefits, payroll taxes, and turnover—not counting the weeks you spend hiring and training.
Buy from first responder
Leads go cold fast. If your team is on a job, in a meeting, or off the clock, competitors win the business.
Coverage gap
Voicemail and after-hours gaps mean missed calls, missed appointments, and missed revenue every single day.
Typical hire ramp
New hires need onboarding, shadowing, and script training before they handle customers confidently on their own.
Three Agents. Zero Delay.
Each one solves a specific revenue leak the moment it goes live.
Inbound AI Receptionist
Every missed call is a customer choosing someone else.
Never miss a call—day, night, or weekend.
- Answers calls instantly, 24/7
- Books appointments into your calendar
- Routes calls to the right person or department
- Handles FAQs with your approved business knowledge
- Captures caller details when a human handoff is needed
Outbound Speed-to-Lead Agent
Speed wins. A five-minute delay can cost you the job.
Contact new leads in seconds, not hours.
- Triggers outbound contact the moment a lead arrives
- Qualifies intent, budget, and timeline automatically
- Books consultations or site visits on the spot
- Follows up until the lead responds or opts out
- Logs every interaction to your CRM or inbox
Quoting Agent
Slow quotes lose jobs to competitors who respond first.
Send accurate quotes while the lead is still hot.
- Collects job scope, photos, and requirements by text or call
- Generates quotes from your pricing rules and templates
- Delivers quotes by email or SMS automatically
- Follows up on open quotes without manual chasing
- Escalates complex jobs to your team with full context
Built for Service Businesses
If these pain points sound familiar, an AI agent can help.
Home Services & Moving
- •Missed calls while crews are on jobs
- •Slow quote turnaround loses same-day bookings
- •After-hours leads go to voicemail
HVAC & Trades
- •Dispatchers overwhelmed during peak season
- •Emergency calls need instant triage
- •Technicians repeat the same intake questions
Legal & Medical Intake
- •Intake staff bottleneck new client onboarding
- •After-hours inquiries sit until morning
- •Inconsistent qualification across staff
Real Estate
- •Portal leads expect callbacks within minutes
- •Showing requests pile up on weekends
- •Agents lose deals to faster responders
See It In Action
Inbound receptionist demo — caller books a service appointment in under 2 minutes.
Proof of Work
Real systems built and deployed—not slide decks.
This Website — Full Booking & Automation Stack
Problem: A moving business needed online booking, deposit collection, admin scheduling, and automated customer emails—not a static brochure site.
Solution: Built a production booking platform with PayPal deposits, admin dashboard, phone booking, custom invoicing, and automated email workflows.
Outcome: End-to-end lead-to-payment flow live in production—proof of real automation, not demos.
View live booking system →Local LLM Reverse Engineering Toolkit
Problem: Security analysts need to understand decompiled binaries faster without sending sensitive code to cloud APIs.
Solution: Built a local-first pipeline that imports Ghidra exports, runs analysis through a local LLM, and produces structured summaries and rename suggestions.
Outcome: Custom AI pipeline with SQLite search, local inference, and analyst-friendly reports.
View on GitHub →ROS 2 LLM Robotics Integration
Problem: Robotics workflows needed natural-language voice control without brittle hard-coded command trees.
Solution: Integrated speech recognition, LLM reasoning, and text-to-speech into a ROS 2 Humble TurtleBot3 workflow in Docker.
Outcome: Voice-driven robot commands with modular STT → LLM → TTS pipeline.
View on GitHub →Related AI Work
Additional projects demonstrating custom AI and automation pipelines.
Local LLM Reverse Engineering Toolkit
Local-First AI Assistant for Decompiled Code Analysis
- Analyzes decompiled functions exported from Ghidra as JSONL
- Runs against local LLM backends so code stays on the analyst machine
- Generates summaries, behavior hypotheses, and human-reviewed rename suggestions
- Includes CLI commands, Flask dashboard, SQLite search, and Ghidra helper scripts
ROS 2 LLM Robotics Integration
Whisper, Espeak, and LLaMA Pipeline for TurtleBot3 Robotics
- Built natural language robotics pipeline using Whisper, Espeak, and LLaMA
- Worked with ROS 2 Humble in a Docker-based remote PC environment
- Integrated voice transcription, LLM response generation, and speech output
- Documented testing workflow for robotics demo and system walkthrough
ROS 2 YOLO Object Detection
Real-Time Object Detection on Jetson for TurtleBot3
- Ran YOLOv11 object detection against camera input on TurtleBot Jetson hardware
- Worked with CUDA and TensorRT-oriented deployment concepts
- Built ROS 2 publisher and subscriber logic for perception data flow
- Tested object labels, bounding boxes, and physical robot demo requirements
Employee vs. AI Agent
See why businesses switch from hiring to deploying.
| Category | Traditional Hire | Custom AI Agent |
|---|---|---|
| Time to deploy | 4–12 weeks to hire and train | Live in days, not months |
| Annual cost | $35K–$55K+ per full-time role | Fraction of one employee |
| Availability | Business hours, breaks, PTO, sick days | 24/7/365 with zero scheduling gaps |
| Lead response time | Minutes to hours when staff is busy | Seconds—every lead, every time |
| Training & consistency | Ongoing coaching, script drift, turnover resets | Update once, every conversation follows it |
| Scaling | Hire again for every growth spike | Handles volume spikes without new payroll |
How We Build It
From discovery to launch—no 90-day onboarding cycle.
Discovery
We map your call flows, lead sources, booking process, and quoting rules so the agent fits how you actually work.
Workflow design
I design conversation paths, handoff rules, and escalation logic tailored to your business—not a generic chatbot template.
Integration
Connect your phone system, calendar, CRM, email, and quoting tools so the agent acts inside your existing stack.
Launch
Go live with real-world testing. Your AI starts handling calls and leads from day one—no 90-day training period.
Optimize
Review transcripts, tune responses, and expand capabilities as you see what converts best.
Why Work With Me
Not a plug-and-play chatbot—a custom system built by an engineer.
Custom-built, not off-the-shelf
Every agent is designed around your scripts, services, and workflows—not a one-size-fits-all SaaS widget.
Security-first engineering
CompTIA Security+ background means integrations are built with data handling and access control in mind.
Full-stack integration
From telephony APIs to CRM webhooks to custom dashboards—I build the full pipeline, not just the chat layer.
Frequently Asked Questions
Common questions about custom AI agents for your business.
How fast can an AI agent go live?
Will it sound robotic or frustrate callers?
What systems can it integrate with?
What industries is this best for?
Does this replace my entire staff?
How is pricing structured?
Book a Free Consultation
Pick a time that works for you, or send a message if you prefer email.
Prefer to reach out by message? Send me your business details and I'll respond within one business day.
Send a MessageReady to Deploy AI That Works on Day One?
Stop bleeding revenue to missed calls, slow follow-up, and hiring overhead. Let's build an AI agent that pays for itself from the first week.