AI Doesn't Know the Standard Changed
AI can cite real but outdated regulations. Reliable compliance workflows verify authority, version, effective date, and provenance at delivery.
Topic
reliability
A collection of 9 issues
Your Agent Does Not Need a Longer Plan. It Needs a Catching Feature.
A longer plan extends the agent's internal map. A catching feature tells it when reality has stopped agreeing.
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.
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.
Temperature 0 Does Not Make LLM Output Deterministic
Temperature controls token selection, not the full inference path. Learn where LLM output variation enters and how to test the right reliability contract.
Dumb Core, Smart Edge: Agentic Design
Many agentic systems I've watched fail in production had the same shape: intelligence concentrated at the center, where it was hard to test, replace, or reason about. The orchestrator was doing too much — routing requests, holding domain knowledge, managing memory, selecting tools, and shaping outputs, all at once.
Every AI Agent is a Liar, a Slacker, and a Thief
The industry is currently stuck in the Prototype Trap. We can build a magical AI demo in a weekend, but we spend six months failing to make it reliable in production. Why? Because we assume the model wants to help us. It doesn't. By default, every AI agent is a liar, a slacker, and a thief.
The Probabilistic State Machine: Why Linear Chains Fail
In data engineering, we build linear pipelines. In AI engineering, linear pipelines are fatal. If you have three steps, each with 90% accuracy, your system is only 72% reliable. To fix this, we must abandon the Chain and embrace the Probabilistic State Machine.
The End of Determinism: Why Unit Tests Are Useless for AI Agents
Alan Turing's machine was absolute. An LLM is not. When we moved from logic to statistics, we broke every testing primitive we had — and most engineers haven't noticed yet.