LLM reliability

2 items

ARTICLEDEV.to AI·10d ago

Stop Shipping AI Slop: Build an Anti-Slop Harness Around Your LLM

The text frames "AI slop" as an engineering problem, not a model problem, suggesting that LLM output quality should be ensured by a validation and retry "harness". Instead of relying solely on prompts, the solution involves treating the model as an unreliable dependency that requires additional validation steps.

Production AI prompt-engineering quality control AI engineering

ARTICLEDEV.to AI·4/27/2026

The Agent-Skill Illusion: Why Prompt-Based Control Fails in Multi-Agent Business Consulting Systems

Autonomous multi-agent systems for business consulting face a critical reliability crisis due to inconsistent behavior, instruction violations, and security vulnerabilities. The article argues that prompt-based control is insufficient, advocating for robust orchestration infrastructure with code-level enforcement and monitoring to achieve production-grade AI.

AI architecture business-consulting security multi-agent systems