All Articles 29
RSSTwo vendors, one standard: running a real upgrade with synthesis engineering
A real three-day upgrade with two AI vendors exposed the Built/Deployed Gap: controls and records that passed checks but never reached the running system.
The Decision Packet: batching AI agents' questions without rubber-stamping them
A synthesis engineering pattern for staying in command of AI agents at speed: collect every decision they owe you into one honest, reviewable page.
The migration that was finished until a stranger looked
A synthesis engineering story about Blind-Spot Rotation: how an AI reviewer with fresh context can find gaps the original inventory and checks missed.
Choosing Local AI Models by Measuring the Machine
Profile a computer, choose local open-weight models that fit, install them safely, and map exact artifacts to each machine with a reproducible workflow.
Why Synthesis Engineering Exists: Building Across AI Agent Runtimes, Not Around Them
Why synthesis engineering exists: model, runtime, and state portability across Claude Code, OpenAI Codex, Cursor, Hermes Agent, and OpenClaw, without lock-in.
My AI executive assistant writes in its own voice. My AI chief of staff writes in mine.
Ragbot and Ragenie, EA AI and chief-of-staff AI: why my executive assistant agent writes in its own voice while my chief of staff agent writes in my voice.
My design record ruled out agent-to-agent messaging. Six days later I shipped it.
I documented why session-to-session agent messaging would fail, then built it six days later. Why a design record is not a constraint, and what actually is.
What agent memory research taught me about twenty years of notes
Tiered memory for a personal knowledge base: what MemGPT, Zep, and Mem0 teach about structuring two decades of notes so AI agents find the right ten files.
AI tools should copy GitHub's identity model, not your employer's
Enterprise workspaces hand you an account and take it back on departure. GitHub does the opposite. Multi-user AI tooling keeps picking the wrong one of the two.
What should survive when you change AI tools
Project state, methods, authority rules, coordination, and evidence: five things open agent infrastructure should preserve across AI tools and clients.
A Green Config Is Not a Working Agent: Five Planes of Agent Conformance
A green config is not a working agent. Five conformance planes for AI agent infrastructure: source, installed state, live behavior, continuity, capability.
I gave my AI agents a chief-of-staff job description. The hard part was the org chart, not the code.
AI agents as chief of staff: how I encoded absence coordination, notification tiers, send gates, and silent-failure validators into open-source config.
Ask Your AI to Refute You, Not to Review You
AI review defaults to confirmation. A refutation protocol: hostile lenses, uncertainty charged against the work, findings that must survive their own panel.
For AI disclosure guards, the secret isn't the name. It's the approval.
Name blacklists over-block your published biography and under-block real leaks. A disclosure model for AI agents built on approval, provenance, and five tests.
Your AI Assistant's Memory Isn't Actually Yours
Three questions show why your AI coding assistant's built-in memory isn't a durable record — portable, synced, versioned — plus a worked audit proving it.
I built the conformance validator Google's OKF repo didn't ship
Google's knowledge-catalog repo shipped no standalone OKF validator, so I built a checker for the format's three hard rules. Open-sourced as synthesis-okf.
Why my AI stack has three runtimes
Conversation, procedure, direct manipulation: why my AI setup runs three interaction modes over one substrate of plain files I own, not one chat box.
A compounding pattern catalog for AI slop
Why a methodology for detecting AI-generated content should keep the patterns it retires, not delete them. The shape of the catalog behind slopcheck.
Synthesis engineering needs a pedagogy, not just a methodology
A methodology tells practitioners what to do. A pedagogy forms judgment. What the Bauhaus teaches about growing synthesis engineering beyond its founders.
The Direction Dynamic in ops: driving multi-tool recovery through a single AI session
The technical fix was the easy part. The recovery was tedious GUI work across Search Console, Bing Webmaster, and Cloudflare. I drove all of it through one Clau
Synthesis Project Management Now Works Across Claude Code and Codex
Synthesis project management now works across Claude Code and OpenAI Codex by keeping durable project memory in CONTEXT.md, REFERENCE.md, and sessions. Updated
The Synthesis Thinking Framework: A Practitioner's Guide
Five thinking modes for technical practitioners who work with AI agents daily. A detailed methodology with real examples from managing sixty concurrent AI colla
Your AI Is a Thinking Partner. You're Using It as a Search Engine.
Most leaders ask AI for answers. The ones gaining a real edge ask it to think with them. Here's the five-mode framework that makes that partnership work.
The Tiered Context Architecture: Managing AI Working Memory at Scale
When AI context files grow to 1,000+ lines, they degrade the collaboration they were built to support. The tiered context architecture solves this with three in
When AI summaries become your sources
AI-generated summaries corrupt a knowledge base when derivative text is promoted to source. Not model collapse: no weights train, but the same failure shape.
The hidden lesson of Richard Socher's career: AI makes engineering discipline more valuable, not less
Richard Socher built the research that powers today's AI coding assistants and then described exactly how organizations should use them. His 'managers of AI' fr
From Tool to Team: Managing AI as Distributed Engineering
When you're running multiple AI sessions in parallel, you're not using a tool anymore — you're managing a team. The skills that matter shift accordingly.
Synthesis Project Management
A lightweight project management system for human-AI collaboration. Designed for context preservation across conversation sessions, context compaction events, m
What is Synthesis Engineering?
Synthesis engineering is a professional discipline for human-AI collaboration on complex work. Not just better prompting — a systematic approach with princ...