Skill #12 • AI Agent Builder

Intelligent Automation
Agents That Actually Work

From simple task automation to sophisticated multi-step AI agents — I design, document, and deliver production-ready workflows for n8n and Make.com that save you dozens of hours every month.

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Why AI Agents Matter in 2026

Businesses that automate intelligently don't just save time — they create competitive advantage. AI Agents can qualify leads 24/7, personalize customer experiences at scale, handle support triage, generate content, and sync data across tools without human intervention.

This skill turns complex processes into reliable, maintainable automated systems.

What You Receive

1. Workflow Architecture

Clear visual-style text flowchart showing the complete logic, decision branches, and data flow from trigger to final output.

2. Node-by-Node Breakdown

Detailed documentation for every single node: which app, what action, exact fields to configure, and important error handling notes.

3. Production-Ready AI Prompts

Highly effective system prompts for any LLM nodes (OpenAI, Claude, Grok, etc.) with proper variable handling, output formatting, and fallback behavior.

4. Testing & Deployment Checklist

Comprehensive checklist covering sample data testing, error paths, rate limits, security, and monitoring setup.

Real-World Example: Lead Enrichment + Outreach Agent

Business Process: New lead comes in from website form → Enrich data → Score lead → Send personalized outreach → Create task in CRM

Workflow Architecture

TRIGGER: Webhook (New Form Submission) ↓ [1] Google Sheets - Append Row (Backup) ↓ [2] Clearbit / Apollo - Enrich Contact Data ↓ [3] OpenAI - Lead Qualification & Personalization ↓ CONDITION: Score > 70? ├── YES → │ [4A] Create Contact + Deal in HubSpot │ [5A] Gmail - Send Personalized Sequence │ [6A] Slack - Notify Sales Team │ └── NO → [4B] Add to Nurture Sequence [5B] Google Sheets - Log Low Priority Lead

AI Prompt Example (LLM Node)

You are an expert B2B sales qualifier. Company: {{company}} Industry: {{industry}} Role: {{job_title}} Website: {{website}} Analyze this lead and return a JSON object with: { "lead_score": number (0-100), "qualification_reason": string, "personalized_opener": string (max 2 sentences), "recommended_next_step": string } Only return valid JSON. Be concise and accurate.

Every agent is built with reliability, observability, and maintainability in mind. I focus on making automation robust enough for real business use.

Common AI Agents I Build

Lead Enrichment + Outreach

Automatically qualify, score, and start personalized sequences.

Content Publishing Agent

Generate, approve, and publish blog posts + social content.

Client Onboarding Agent

Automate welcome sequences, document collection, and account setup.

Review Monitoring Agent

Detect new reviews and auto-generate professional responses.

Support Ticket Triage

Route tickets, suggest responses, and escalate when needed.