n8n Automation Portfolio

Practical workflow automation built around real business processes.

This showcase presents selected CodelyHub AI work samples across lead research, customer messaging, CRM, appointment reminders, reporting, APIs, and AI-assisted workflows. The examples focus on architecture, workflow logic, testing, and implementation rather than invented performance claims.

n8n workflow orchestration APIs & webhooks CRM & Google Sheets AI used selectively Production-oriented testing

n8n lead generation and outreach workflow

Selected workflow evidence Real workflow architecture and implementation examples are shown below. Client-sensitive information is intentionally withheld.

Selected Work

Workflow examples across lead handling, messaging, CRM, and reporting.

Each example represents a repeatable automation pattern that can be adapted to a business's approved tools, data, permissions, and operating process.

B2B lead generation and outreach n8n workflow

n8nLead ResearchEmail

B2B lead research & controlled outreach workflow

A multi-workflow system for discovering businesses, researching websites, checking contact quality, scoring automation opportunities, preparing personalized outreach, limiting follow-ups, and monitoring replies, bounces, and unsubscribes.

Separates discovery, analysis, sending, follow-up, and monitoring into clear responsibilities.
Uses controlled logic to reduce duplicate outreach and repeated follow-up.
Connects n8n with web research, Google Sheets, Gmail, APIs, and AI-assisted personalization.

WhatsApp product and order automation workflow

WhatsApp APIn8nOrders

WhatsApp product & order automation

A production workflow for a confidential e-commerce retailer that handles predictable product questions with structured logic, uses AI only when reasoning adds value, collects order details, records confirmed orders, and sends notifications.

Filters customer messages from delivery and read-status callbacks.
Connects Meta WhatsApp Cloud API, n8n, product data, Google Sheets, Gmail, and OpenAI.
Keeps client identity and customer information private in the public work sample.

CRMRoutingFollow-Up

CRM pipeline & lead follow-up automation

A workflow pattern for receiving lead data, creating or updating CRM records, assigning ownership, creating the next task, sending internal alerts, and keeping pipeline movement visible.

Uses stable identifiers and clear routing rules to reduce duplicate records.
Creates visible next actions instead of relying on memory.
Supports exception paths when required data or routing conditions are missing.

Appointment reminder automation workflow

SchedulingRemindersCRM

Appointment reminder & rescheduling workflow

A connected booking workflow that records confirmed appointments, sends useful reminders, updates changed bookings, alerts staff, and creates post-appointment follow-up actions.

Uses the booking or calendar system as the source of truth.
Prevents obsolete reminders after cancellation or rescheduling.
Supports internal notifications and controlled follow-up after the appointment.

Google SheetsReportingn8n

Google Sheets reporting automation

A recurring reporting workflow that collects approved data, validates required fields, appends or updates the correct row, flags exceptions, and delivers a concise internal summary.

Uses stable keys rather than matching only on names.
Separates normal reporting from error and exception handling.
Preserves source systems as the system of record instead of inventing missing KPI data.

ShortlistLens AI assisted CV screening workflow

n8nSupabaseAI Processing

Workflow-backed AI screening product

A customer-facing product that connects role setup, CV uploads, Supabase events, an n8n queue worker, AI-assisted analysis, stored results, status updates, credits, and completion notifications.

Event-driven background processing instead of a manual button-to-script demo.
AI supports candidate evidence review while final hiring decisions remain human.
Includes database updates, failure handling, notifications, and saved results.

Implementation Approach

How CodelyHub AI approaches automation work samples.

The focus is on a workflow that can be explained, tested, and maintained rather than adding AI or automation where it is unnecessary.

Map the real process

Identify the trigger, source data, business rules, human decisions, and desired next action.

Connect approved tools

Use supported APIs, webhooks, native integrations, and credentials with the minimum access needed.

Handle exceptions

Make missing data, failed requests, duplicates, and unusual conditions visible rather than silently guessing.

Test the full path

Validate normal and failure cases before treating the workflow as ready for ongoing use.

Work-Sample Page

Portfolio evidence only — no off-platform contact or hiring CTA.

This page is provided only to demonstrate work samples and technical capability. If you reached this page from a freelance marketplace, continue project communication, contracting, and payment through that marketplace.