Making Agents Aware of Agentic Risk
Agentic risk awareness is an operational discipline: model the failure paths, constrain authority, force uncertainty to surface, and continuously test whether the system still behaves under stress.
engineering
Articles connected to this term.
Agent Incident Response Needs a Measurable Drill
A controlled incident drill shows how scope validation, lineage, blast-radius assessment, kill paths, and rollback evidence make agent failure visible enough to engineer against.
Artifact Intake Boundaries for Agentic Systems
Agent workflows need artifact-intake controls for transcripts, archives, logs, manifests, benchmarks, and training-corpus candidates before those materials cross into trusted local state.
Structural Debugging for Chain-of-Thought Graphs
Chain-of-thought traces can be inspected as dependency graphs instead of prose, making circular support, abandoned threads, unsupported conclusions, and contradictions easier to find.
Why Agent Memory Needs a Control Plane
Agent systems need a memory control plane because retrieval safety and historical truth require enforceable policy and clear lineage, not mutable notes.
Executable Metaphors: Compiling Analogy Into Prototype Code
Executable Metaphors treats a natural-language analogy as a compact architecture brief, then generates scaffolded code, build files, documentation, and a repair loop for rapid prototyping.
The Unaskable Question
A probing tool asks language models structurally impossible questions and classifies how they fail.
Evolving Better Prompts
A genetic prompt run improved average fitness from 0.887 to 0.926 in four generations using LLM-based mutation and crossover.
Memory Should Decay
An agent memory run kept 8 useful facts out of 50 after 30 ticks. The rest expired without manual pruning.
ControlOps: Letting Machines Talk
ControlOps is a catalog project that turns scope validation, decision lineage, blast-radius assessment, and kill-path auditing into testable operational checks for agent systems.
Build for the Hour After Failure
Agent systems are often designed for launch day. The first hour after a bad action needs its own recovery layer: freeze, trace, contain, rollback, and harden.
Software That Expires
Long-lived software needs built-in expiration paths. EntropyOS treats APIs, code paths, and runtime state as things that must be renewed or allowed to disappear.