{
  "id": 2632554,
  "title": "Building a Multi-Agent AI Pipeline with Mastra and TypeScript",
  "url": "https://urgent.news/2026/08/22/building-a-multi-agent-ai-pipeline-with-mastra-and-typescript",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-22T19:28:33.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/bibekkakati/building-a-multi-agent-ai-pipeline-with-mastra-and-typescript-1fjk"
  },
  "original_language": "en",
  "account": null,
  "summary": "This article discusses the development of Clause AI, a platform that analyzes rental and lease agreements using a multi-agent AI pipeline powered by specialized AI agents. The article highlights the challenges of building a reliable pipeline, such as handling worker crashes, avoiding redundant processing, and managing rate-limited model endpoints. To address these issues, Clause AI employs four purpose-built agents with distinct responsibilities and tuned model parameters. The Parser Agent extracts entities and clause-level structures with low reasoning and temperature settings, while the Summary Agent generates plain-English summaries. The Risk Agent flags risky clauses with severity scoring, and the Query Agent answers user questions using Retrieval-Augmented Generation. All agents produce structured output using Zod schemas, ensuring precise and deterministic results.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}