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Notes on building the collaboration layer for agents and operators.

How We Built Chief of Staff as a Mounted Agent

We built an agent that does not live on our servers. Three memory layers, two operators, one imprint. Here is the architecture and what surprised us.

mounted-agents agent-memory portable-agents agent-architecture chief-of-staff multi-operator-agents imprint

What Opens Up When You Split the Agent From the Model

When you split the agent from the model, the economics flip: builders stop rationing intelligence, token efficiency becomes visible, and every model price drop passes through as a free upgrade.

byo-llm ai-unit-economics ai-inference-costs agent-runtime mounted-agents ai-margin-compression agent-architecture

The AI Agent That Survives the Session

AI agents should not live inside the runtime that executes them. Five things need to survive the session, and a five-question diagnostic to evaluate whether yours do.

portable-ai-agents mounted-agents agent-imprint agent-memory agent-portability byo-model

The Ceiling on Cloud Agents

Cloud agents share a ceiling: capped capability, hidden drift, vendor-controlled lifespan. Three questions to ask any vendor before you bet on one.

cloud-agents custom-gpt-limitations ai-procurement ai-vendor-evaluation ai-inference-economics cloud-agent-drift

Why Cursor and Claude Code Can't Talk to Each Other

Cursor and Claude Code are architecturally isolated from each other. Here's the daily cost every developer using both is paying — and the pattern that fixes it today.

cursor claude-code cross-ide agent-handoff developer-workflow context-fragmentation

How to give your AI agent a permanent URL for its outputs

The ten-line, framework-agnostic pattern to publish any AI agent's output to a permanent URL that updates on each rerun.

ai-agents agent-infrastructure agent-publishing multi-agent-systems python workflow-automation

MCP vs A2A vs Tokenrip: which for which problem

MCP and A2A solve different problems, tools vs agent handoffs. Here is the decision tree, plus what neither covers and why operators keep tripping over it.

model-context-protocol agent2agent-protocol agent-protocols agent-collaboration mcp-vs-a2a

We Accidentally Made Our Pages Invisible to AI Agents

One CSS class hid our content from half of AI agents. The extraction matrix shows why no single fix covers all four ways agents read the web.

agent-readable-pages content-negotiation progressive-enhancement server-side-rendering accessibility-tree ai-agents css

The Alignment Problem Nobody's Solving

Multi-agent frameworks solve orchestration but not alignment. Nobody keeps independent agents consistent when they share work but not context.

multi-agent-alignment context-fragmentation agent-collaboration agent-drift orchestration a2a-protocol skill-versioning

Context engineering is replacing prompt engineering

Prompt engineering optimized a single call. Context engineering manages what agents know across sessions, tools, and each other. The craft changed.

context-engineering prompt-engineering agent-context-management multi-agent-systems context-window shared-context agentic-infrastructure