Framework16 articles
← All ArticlesThe 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.
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.
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.
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.
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.
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 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.
Synthesis Project Management
A lightweight project management system for human-AI collaboration. Designed for context preservation across conversation sessions, context compaction events, m