My Toolkit — AI CoPilot

From Personal Problems to Practical Prototypes

A collection of custom-built tools I use to automate workflows, accelerate product validation, and solve real-world challenges. I believe the best way to understand AI is to build with it.

Featured Project: AI Job Application Co-pilot

A comprehensive system to streamline the job hunt, from discovering roles on LinkedIn to generating tailored application materials in minutes, not hours.

Explore the Live System

Key Features

Automated Job Scraping

Scans LinkedIn for roles matching your criteria.

Deduplication

Prevents clutter by checking for existing entries.

Hiring Manager Discovery

Identifies the likely hiring manager on LinkedIn.

Centralized Dashboard

All jobs saved to a single Google Sheet.

AI-Powered Analysis

Analyzes job descriptions against your master CV.

Content Generation

Generates match scores, CV bullets, and more.

How It Works: Automated Job Discovery

A no-code workflow runs independently to populate the Google Sheet with new opportunities.

Trigger

Manual or Scheduled

Find & Filter

LinkedIn + LLM Validation

Extract Details

Title, Company, Desc

Add to Sheet

Deduplicate & Save

Once jobs are in the sheet, the AI co-pilot is triggered from a custom menu to analyze the role and generate tailored application content on demand.

Tech Stack

Automation: Relay.app Database & Frontend: Google Sheets Backend: Google Apps Script AI Model: Google Gemini API

Productivity Extensions

Image of the 'AI RAG Text Web Scraper' Chrome Extension

RAG Text Scraper

A browser tool built to solve my own QA validation bottleneck. It scrapes website content and formats it into clean, RAG-friendly text for better chunking and analysis.

View on Chrome Store

Image showing highlighted 'Web Markup Tool' in action.

Web Page Markup Tool

A simple extension for marking up, annotating, and sharing feedback directly on web pages. Perfect for product reviews and UX analysis.

View on Chrome Store

My Philosophy on Building with AI

I build these tools not just to be more efficient, but to stay deeply connected to the technology I manage. By gettings hands-on, I can better understand the capabilities, limitations, and real-world applications of AI. This continuous process of identifying a problem, scoping an MVP, and building a solution makes me a more empathetic and effective product leader.