do not look into laser with remaining eye

desirable conversation features insights

software project folder structure for isolating agent scope

categories of AI for helping onboard folks who are new to AI

multi-agent teams of LLMs

lessons from enacting agentic workflows for software development

interview questions

second-hand sources of information

Personalized feeds are harmful

from LLM chat to agent to guided workflow

example scaffolds for AI prompt orchestration to navigate complicated multi-step workflows

synchronization of buckets filling and emptying

cargo cult bureaucracy

historical comparisons for how AI is revolutionary to how businesses operate

snapshot of my inability to determine veracity for topics I'm not familiar with

can't things just be better?

Collisions and Collaborations by Max Boisot et al

probabilities (don't have to) multiply for agentic systems

the persistent need for general knowledge and subject-matter expertise with large language models (LLMs)

we have trained machines to dream

Prompt engineering advice and how to review output from LLMs for text-based interactions

why we have large complicated bureaucratic systems

Bureaucracy as a compounded principal-agent problem

Bureaucratic livelock

how to make money as an LLM service provider

visualizing family tree

plaintext genealogy book to neo4j cypher query using Gemini 2.5 LLM

Document the motivation for creating a Policy, Standard, or Procedure (PSP)

Gradations of the Inverse Conway Maneuver

Unspoken Currency of Office Politics: Synergy and Punishment Between Coworkers

scaling my management tactics

buying a house for the first time

documenting ineffectiveness of an employee in preparation for firing them

Jira best practices for task tracking

movie and TV show tropes in scripts

monte carlo addition in Excel as per Gemini 2.0 LLM

knowledge hidden in legacy code

uses for LLMs

Makefile as wrapper versus abstraction layer

Tracking tasks tactically versus strategically

distinguishing passive from active, busy from productive for knowledge work

concurrent processes in bash

search text corpus using RAG with an offline LLM

Founder mode and Dunbar's number

characteristics of kindness

observations too small for their own blog post