Using Generative AI and Automation for improvement

Unlock efficiency and save costs by fine-tuning the ChatGPT 3.5 Turbo model with our step-by-step guide to generative AI and automation.

The key insights from this article are that OpenAI has released fine-tuning for the ChatGPT 3.5 Turbo model, which allows for customization to specific tasks and improves durability and reliability of the output. Fine-tuning also enables the shortening of prompts, saving time and cutting costs. The article provides a step-by-step guide on how to fine-tune the ChatGPT 3.5 Turbo model, including formatting data into JSON, gathering examples, uploading examples, creating a fine-tuning job, and using the fine-tuned model. The cost of fine-tuning is divided into training cost and usage cost.

Original article: How to Fine-tune a ChatGPT 3.5 Turbo Model Step by Step Guide

Featured writing

Why customer tools are organized wrong

This article reveals a fundamental flaw in how customer support tools are designed—organizing by interaction type instead of by customer—and explains why this fragmentation wastes time and obscures the full picture you need to help users effectively.

Infrastructure shapes thought

The tools you build determine what kinds of thinking become possible. On infrastructure, friction, and building deliberately for thought rather than just throughput.

Server-Side Dashboard Architecture: Why Moving Data Fetching Off the Browser Changes Everything

How choosing server-side rendering solved security, CORS, and credential management problems I didn't know I had.

Books

The Work of Being (in progress)

A book on AI, judgment, and staying human at work.

The Practice of Work (in progress)

Practical essays on how work actually gets done.

Recent writing

We always panic about new tools (and we're always wrong)

Every time a new tool emerges for making or manipulating symbols, we panic. The pattern is so consistent it's almost embarrassing. Here's what happened each time.

Dev reflection - February 03, 2026

I've been thinking about constraints today. Not the kind that block you—the kind that clarify. There's a difference, and most people miss it.

When execution becomes cheap, ideas become expensive

This article reveals a fundamental shift in how organizations operate: as AI makes execution nearly instantaneous, the bottleneck has moved from implementation to decision-making. Understanding this transition is critical for anyone leading teams or making strategic choices in an AI-enabled world.

View all writing →