Iโm very excited to have another guest writer on my blog: OpenAI Deep Research! I didnโt write this post. I heavily relied on OpenAIโs Deep Research. I did review, clean up, and modified a little, but this is a guest post from ChatGPT ;) My prompt was: Write a comprehensive blog article, following my style,... Continue Reading →
You Canโt Prompt Your Way to being a Senior Engineer
This is the third and final post in my mini-series. In my first post, Where have all the Engineers gone?, I shared some hard questions about the current state of engineering and what it will look like a few years from now. In my second post, Rise of the Agent Director, I discuss the importance of experienced... Continue Reading →
Where have all the Engineers gone?
This is part one of a short mini series. Part 2 is Rise of the Agent Director. Part 3 is You Canโt Prompt Your Way to being a Senior Engineer. Where is my John Wayne?Where is my prairie song?Where is my happy ending?Where have all the cowboys gone?Where is my Marlboro Man?Where is his shiny gun?Where is... Continue Reading →
The Illusion of Thinking: Models Donโt Actually Reason
I grabbed my morning coffee and dove into Appleโs new paper, The Illusion of Thinking (okay fine, ChatGPT and I dove into it together). And you know what? None of this really surprised me. I've been working through creating custom "thinking" agents, leveraging reasoning models. The head-shaped-hole on my desk tells you how well it's... Continue Reading →
Wired for Growth: How Smart Companies Can Use AI Without Losing Their Soul
Iโm excited to have guest writer Chelsea Lamb from Business Pop share this post! In boardrooms and basement startups alike, artificial intelligence has graduated from buzzword to backbone. The question is no longer if AI has a place in your business, but where, how, and with what expectations. Thereโs plenty of noise in this space โ from... Continue Reading →
Context Switching and LLMs โ A Cognitive Parallel
Photo by Mike van den Bos on Unsplash We've all been there: managing many moving pieces in our heads and then, BLAM, Slack dings, weโve lost our perfect mental model faster than closing an unsaved file. Working with LLM agents has upped the ante in terms of what we have to keep in context in... Continue Reading →
When a Prompt Isnโt Enough: Rethinking Your Approach to AI
I've spent considerable time crafting prompts for numerous professional and personal tasks and projects: knowledge retrieval, research, productivity, writing, gaming, and media. Over time, I've developed my preferred prompt-writing style. Iโve learned a few tips along the way, and expect to learn more soon. How do we write the best prompts? Keep it simple. Before... Continue Reading →
A powerfully simple and impactful win with AI code assistants
While digging through a messy codebase, I stumbled upon an amazing little trick using AI agents in my IDE that instantly brought clarity. It was too cool not to shareโplus, now Iโll have a handy reference to myself later. AI Agents in your IDE: Cursor and GitHub Copilot I've tested this out using Cursor and... Continue Reading →
Proposing ‘h11n’: A New Buzzword for an AI Hallucination
I don't know who gets to pick industry buzzwords, abbreviations, and the like, but I'd like to propose h11n for a short form of an AI hallucination. I swear I gave the LLM the right data but it h11n anyway! My prompt is killing me, it keeps h11n on this one question... That's all, let... Continue Reading →
Leveraging Vision in Chat for Improved User Experience
In my other post/notebook, Using GPT Vision in RAG, we use vision to help enrich our content during ingestion, prior to chat. By using vision, we are able to create robust descriptions of our complex slides that contain charts and graphs, and bring some amazing value to our end users. In this post, we're going to... Continue Reading →
