Common State, Private Scratchpads

Multi-agent systems need a sharp boundary between shared state and private reasoning. Private scratchpads are where agents explore, speculate, and reason about alternatives before committing to an action.

Don't Let Your Agents Hire Managers

Coordinator Debt is the complexity from orchestration layers added to fix boundary failures. The fix is agent scope discipline, not hierarchy depth.

Context Is the Moat

SaaS is stateless. Professional services accumulate context. The switching cost is the calibration history no competitor can replicate.

A Demo Becomes a Product When It Survives Its Failure Modes

The gap between an AI demo and an AI product is not more features. It is evidence under realistic failure.

The Hidden Cost of Cheap Intelligence Is Review Debt

Review Debt is the accumulated cost of cheap model outputs requiring expensive review. The fix is boundary contracts upstream, not validators downstream.

Code as Specification: Why the Schema Comes Before the Prompt

The central mistake in prompt engineering is treating prose as the primary specification. In production systems, the prompt should be downstream of the contract, not the other way around.

Red Teaming: Breaking Your Own Agent Before the Internet Does

Most teams call something a red team when they ask an LLM to be mischievous for ten minutes. Real red teaming is not prompt theater. It is a disciplined loop for breaking the runtime before production does it for you.

Human-in-the-Loop Is an Operating Model, Not a Safety Checkbox

Human-in-the-loop is an operating model: someone must own the policy, escalation thresholds, reviewer capacity, appeals, and the path to greater autonomy.

Judgment Compression: Who Owns the Expert Decisions Encoded in AI?

When AI ranks several valid options, it executes an organizational policy. Judgment compression works only when its decision rights and accountability are explicit.

The Agent Failure Bestiary: Sycophancy, Drift, and Recursion Loops

Most agent failures look novel when they happen. They are usually not. They belong to a small recurring bestiary of failure patterns that appear whenever stochastic systems are given too much authority and too little structure.