Tradecraft
Themes Are Not Feedback
Feedback built on aggregated impressions — "multiple people have raised concerns" — strips away everything that makes feedback useful. The research is clear: effective feedback is specific, actionable, and timely.
Most LinkedIn advice falls into one of two categories: tactical tricks that aim to game the system or vague encouragement to "post consistently and engage authentically." Neither helps you understand how the platform actually works — which is what you need to make good decisions about your own strategy.
feedback
For the reasoning behind this system, see Why Feedback Order Matters: A System for Document Review. The Three Tiers TierScopeAddressExamplesHigher Order (HOC)Whole documentFirstArgument, structure, purpose, audience fit, completenessMiddle Order (MOC)Sections/paragraphsSecondTransitions, evidence integration, tone, proportionalityLower Order (LOC)Sentences/wordsLastGrammar, spelling, word choice, formatting The core rule: Always work
writing
Bad document feedback was the bane of my existence at the State Department. (We always talked about "happy to glad" changes). You've probably seen this happen. Someone sends a draft for review. The first reviewer opens it, spots a comma splice on page one, fixes it,
What This Is: A real-world guide to building a personal knowledge management system that actually works with AI and turns Claude from a chatbot into a genuine thought partner. The Real Problem I'm constantly synthesizing research, connecting patterns across projects, and developing frameworks that integrate insights from multiple
AI continues to grow at a dizzying pace. This beginner's guide helps diplomats get familiar with AI tools, regardless of their current proficiency.
Browse an index of Expo 2025 Osaka pavilion reviews—with a simple evaluation framework and links to detailed write-ups like Spain.
After fifteen years in diplomacy, I now work on how organizations actually change—and why most tech initiatives don't work. Director at Guidehouse, writing about transformation, technology adoption, and the messy human side of both. Subscribe to follow along.
LinkedIn's algorithm has never been intuitive for users of other social media platforms--from its preference for once-a-day posting to how it values different forms of engagement. This got even more complicated in late 2025, when LinkedIn launched the 360Brew algorithm—a 150-billion parameter language model that reads your
Every conversation with AI starts from scratch. This tutorial builds the system that fixes that — persistent context, project memory, and a personal vault that makes each session smarter than the last. Built for diplomats, analysts, and federal professionals who need more than a chatbot.
This guide walks you through setting up an AI agent with persistent memory, modular skills, tool integration, and task automation—without exposing endpoints to the internet. Time required: ~2 hours Difficulty: Comfortable creating folders and text files; some terminal use helpful but not required Prerequisites: macOS/Windows/Linux, Anthropic API
Two weeks ago week, the Pentagon put Google's Gemini for Government on the desktops of 3 million military personnel, civilians, and contractors. If you have a CAC, you now have access to a frontier AI model cleared to handle CUI. Most people will poke at it a few
This is for team who know their coordination is a mess but don't have the energy for another change initiative. If you've been putting off "fixing how we track work" because it sounds exhausting, this is the smallest-possible-steps version. You can feel the problem.
If you've worked in consulting or government transformation, you've probably encountered kaizen - Toyota's continuous improvement philosophy that revolutionized manufacturing. You might know the Lean methodology it spawned. But there's a less famous Japanese management practice that may matter more for organizational
We all sometimes need to check up on what is published about us (or a friend, colleague, or potential partner) online. While you can certainly ask Claude or another LLM to do your research, it will work far better if you tell it exactly what you are after... Wayan Vota
I've always loved LinkedIn as a content platform. Not ironically. I know that's an unfashionable opinion—the site gets mocked for performative thought leadership and quasi-work-related trash. But I find the platform hugely valuable for discovering new thoughtful people and for sharing my own insights about
A practical guide for getting more out of Claude and ChatGPT (and written based on conversations last week!) There's a counterintuitive truth about working with AI that took me a while to internalize: more isn't better. Not more training data, not more context, not more conversation
I spent three hours last Tuesday fighting with PowerPoint over text box alignment. Three hours. This is absurd, and we all know it. But most of the "AI solutions" aren't actually solving the problem. They're trying to help you think, communicate, and format all
Last weekend, I rebuilt my Claude PKM system. Not because it was broken—it was working perfectly fine. But "working" and "optimal" are two very different standards, especially when you're scaling AI collaboration across an organization. Over the past month, my Claude system had
What This Is: A real-world guide to building a personal knowledge management system that actually works with AI and turns Claude from a chatbot into a genuine thought partner. The Real Problem I'm constantly synthesizing research, connecting patterns across projects, and developing frameworks that integrate insights from multiple