Archive on Tech Foundations

Ai System Problems Symptoms Report

Mon, 01 Jan 0001 00:00:00 +0000

Systemic Problems and Observable Symptoms in LLM Agentic Workflows and Semantic RAG Systems

Date: 2026-05-09

Scope: Systemic research on intrinsic problems and observable symptoms of AI systems, especially LLM-based agents, semantic RAG systems, and tool-using workflows.

Ai Systems Features

Mon, 01 Jan 0001 00:00:00 +0000

Understanding LLM mechanisms and AI-system failure modes gives us a practical engineering advantage. Instead of discovering weaknesses only through production incidents, we can anticipate them during system design. The mechanism stack lets us identify which causal surfaces are relevant for a given application, derive likely failure modes, and then select appropriate controls, traces, recovery paths, and evaluations before deployment.

Causal Stack (Archived)

Mon, 01 Jan 0001 00:00:00 +0000

Model-Mechanism Constraints

Definition

Architecture-implied operating constraints or model-mechanism constraints are predictable behavioral limits induced by the model’s generation mechanism, before considering domain data, product policy, or system integration. That are constraints that follow from transformer-style sequence modeling and autoregressive/probabilistic decoding.

Stack Umbrella Model

Mon, 01 Jan 0001 00:00:00 +0000

Recommended Umbrella Model

The chain:

Mechanism -> Constraint -> Failure Pattern -> Boundary -> Control -> Test/Monitor

Example:

Autoregressive decoding -> plausibility pressure -> unsupported claims -> unacceptable in legal/medical/finance -> retrieval + evidence policy + verifier -> citation integrity monitor