James Tagalog

I build AI agents and automations that replace the manual work slowing your business down

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AI Agent &
Automation
Specialist

James Tagalog

James “Jimmy”
Tagalog

I build automation systems for repetitive work that shouldn’t need a human. Cold outreach. Candidate screening. Client onboarding. Work that typically takes 10–15 hours a week and doesn’t move the needle.

Recently built a customer service automation system that handles 93% of a company’s daily email volume, responds to requests and sends company-specific information back and forth automatically.

Building this into a business, so I’m working with a few more companies to prove this approach scales.

Here’s how it works: I map how your team operates. Build the system around that. Test it on real workflows before anything goes live.

Most automation projects fail because someone picks a tool first and forces the process to fit. I reverse that order. Process first. Tools last.

No cookie-cutter solutions. Just systems built for how you actually work.

What Clients Say

★★★★★

“James helped me free up over half the time in my day to focus on growing my business. His pricing is extremely reasonable and well worth the value he has brought to me. Working with James has been the best investment I have made on this platform. 11/10.”

AI Customer Service Automation Upwork · 5.0
★★★★★

“I can’t recommend James highly enough. He really knows his stuff and made the whole process smooth from start to finish. The voice sounds natural, the flow is easy. We’re thrilled with the results and will definitely work with him again.”

Voice AI Customer Rep Upwork · 5.0
★★★★★

“James did a terrific job! He understood exactly what I needed by asking the right questions. He’s a professional in all aspects, and you can count on him to deliver.”

Make.com + Retell AI Integration Upwork · 5.0

Services & Stack

Lead Generation

  • AI Cold Email Systems
  • Content Systems

Hiring Systems

  • Intake Systems
  • AI Scoring Systems

Onboarding & Assets

  • AI Onboarding Systems
  • AI Asset Generators

Tools & Stack

n8n Make (Integromat) Zapier Cold Email Automation Webhooks AI Agents Voice AI Agents AI Scoring & Evaluation VAPI Onboarding Flows Agentic Workflows Monday.com Supabase Python JavaScript REST APIs RAG Systems OpenRouter Vercel Low-Code / No-Code Claude Code GitHub

Projects

01

AI Customer Support Agent

AI agent that answers customer questions on its own, escalates the tricky ones to a human, and gets smarter from every resolved ticket.

Reduced average response time by ~80%

AI Agents n8n Webhooks
02

AI Voice Agent for Automatic Onboarding

A voice AI that calls new clients, walks them through onboarding over the phone, collects their info, and books the next steps — all without a human on the line.

Cut onboarding time from days to under 1 hour

VAPI Voice AI Webhooks
03

RAG System for Sales Teams

Sales reps ask questions in plain English and get instant, accurate answers pulled from product docs, pricing sheets, and competitive intel.

Gave reps instant answers — no more digging through docs

RAG AI Agents Supabase
04

First-Pass Recruitment & Hiring Interview Agent

AI agent that runs first-round interviews, scores candidate responses, and delivers summary reports so hiring managers only review the top picks.

Screened 50+ candidates/week without adding headcount

AI Agents Voice AI Automation

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My Process

I start by understanding how your business runs, not by picking tools and hoping they fit. I build something specific to your workflow, then test it before launch. Process first. Tools last.

01

Discover & Diagnose

Understand first, automate second.

Most automation projects fail because someone picks a tool before understanding the workflow. I do the opposite.

I map how your team operates:

  • Goals, constraints, and what success looks like
  • Where data lives (CRMs, inboxes, spreadsheets)
  • Real bottlenecks — not where you think they are
  • What should be automated and what shouldn’t
02

Design, Build & Validate

Custom solutions, tested before launch.

Once I know what to build, I build it. But I test it thoroughly before it goes into production. Here’s what happens:

  • Design the workflow around your actual process (not a template)
  • Build and test different approaches on real data
  • Run it in a sandbox environment first — identify what breaks
  • Determine where AI helps and where it’s overkill
03

Launch, Monitor & Optimize

Continuous improvement, not a one-off project.

Most people think automation is “set it and forget it.” It’s not. After launch:

  • Monitor performance against agreed metrics
  • Collect feedback from your team and customers
  • Fix issues quickly (usually within 24–48 hours)
  • Refine the system as your business evolves

The system gets better over time.

Get In Touch

Have a process that’s eating your team’s time? Let’s talk about whether automation can fix it.

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