Solopreneur Workflow: Simplifying Big Data Analysis with AI Agents

About this episode

Mike Fox discusses simplifying big data analysis using AI agents and shares a practical strategy for managing large datasets.

Your AI tool isn't broken. It's just full. Hi, I'm Mike Fox, host of this podcast, " Lone Wolf Unleashed ." I help solo founders systemise their businesses so they can switch off sooner and live larger. This week I'm pulling back the curtain on a real data project: 103,000 rows, a client locked into Microsoft Copilot, and a categorisation task that would've taken weeks to do manually. Here's what I worked through — and what you can take straight into your own business. The context window is the AI's working memory. Once it runs out, the quality of your outputs tanks — or the conversation just stops. Understanding this constraint is the difference between AI that saves you hours and AI that wastes them. Working within real-world limitations (not every client is on Claude), I built a strategy to break down a massive data set into token-efficient chunks, set up a structured workflow for Microsoft Copilot to process them in sequence, and then used a manager-agent review layer to QA the outputs before any human had to. The same principles apply whether you're running Claude, ChatGPT, or whatever tool your organisation has decided is the one. The constraints change. The framework…

People in this episode

Host: Mike Fox

Topics covered

• AI
• data analysis
• solopreneur
• workflow
• productivity
• Microsoft Copilot

Keywords

• AI tools
• data project
• context window
• token-efficient
• Excel
• CSV
• workflow

Mentioned in this episode

Organizations: Microsoft Copilot

Products: Claude, ChatGPT

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