The Problem

We had a client come to us frustrated by how much time their team was wasting on manual data work.

Every week, new spreadsheets would land in their inbox. People kept asking if something was already processed, spent hours copying and pasting between files, and still ended up re-doing the same rows just to be safe.

As their data grew, so did the confusion. What started as a quick task turned into a constant headache—especially for teams that work with big lists, scraping jobs, or anything that needed to be updated regularly.

The Solution

We built a self-learning automation that kills repetitive work for good.

• The system checks its memory first, so only new or changed data ever gets processed.
• All history lives in a single “brain” Google Sheet—no more forgetting what’s been done.
• It’s smart: depending on the data, it picks the right tool—scraping, GPT, or API—for the job.
• Everything updates in real time. Every new result goes straight into memory, no extra steps.
• It runs itself, end-to-end. Nobody needs to watch over it.

How It Works (Step-by-Step)

1. Data Input

Just feed in your latest spreadsheet or list—CSV, Google Sheet, whatever you have.

2. Memory Lookup

The system checks every entry against its central memory.