do not look into laser with remaining eye
troubleshooting an internal SATA harddrive connected to my Ubuntu laptop via USB adapter
interactions with LLMs cannot feel awkward (currently)
lessons from implementing research workflows with small local LLMs
imbalance for cybersecurity and AI
design of a multi-agent team
refinements to considerations for multi-agent teams
considerations for multi-agent teams
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