Most people’s AI instructions are a flat collection – nothing connects them, nothing scopes them, no way to debug when output drops. Software solved this decades ago with call stacks. The same mental model fixes AI work.
Articles
Most Agent Failures Aren’t Model Failures. They’re Context Failures.
When AI agents break, the instinct is to blame the model. But Anthropic, Manus, and every practitioner building at scale are finding the same thing: the failures are in the context, not the capability.
Context Capsules: How to Transfer AI Context Between Chats
When an AI conversation gets long, you lose context. A context capsule packages what matters so the next session starts informed, not blank. Here’s how to create one.
How AI Context Actually Works (And Why Your Conversations Fall Apart)
Your words are only part of what AI processes. Understanding what fills the context window — and why the AI stops paying attention long before it runs out of space — changes how you work with AI.
Why AI Conversations Degrade (And What You Can Do About It)
If you use AI for complex work, you’ve watched conversations degrade – repetition, missed context, generic responses. It’s not random. It’s a structural problem with a practical solution.
Use Protocols, Not Prompts
Most AI advice focuses on prompts. But prompts are tactics—they work occasionally, they don’t compound, and they don’t build anything durable. A protocol is different. It’s a system that defines how work must behave, every time. Here’s why that distinction matters for trust.
