Skip to content
AI News HubLIVE
More
Summary only

Show HN: Design Patterns for AI

A catalog of design patterns for building reliable AI agent systems, focusing on verification to counter variance and bias failures. The patterns are organized into three categories: Context & State, Verification, and Orchestration, totaling 17 patterns.

SourceHacker News AIAuthor: verify-ai
Show HN: Design Patterns for AI
Report an error

The correction channel is not available yet. You can copy the article reference below for later.

Correction instructions

Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

Article intelligence

EngineersIntermediate

Key points

  • AI agent systems suffer from variance failures (e.g., sampling instability) and bias failures (e.g., sycophancy, self-review blindness).
  • The patterns are grouped into Context & State (5 patterns), Verification (6 patterns), and Orchestration (6 patterns).
  • Key patterns include Causal Tag, Constitution, Adversarial Frame, Blind Oracle, and Cross-Family.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

More recent stories on this topic · Agents