--- format: "aidr-story-markdown/v1" id: "d2290c5d3e5ab01173b313b07b9d1ad16dfb25856f1bb37c6a6644fa0f03e359" canonical_url: "https://aidr.today/d2290c5d?lang=en" title: "Four layers of context engineering for production AI agents: How Deep Insight applies them in working code" lang: "en" requested_lang: "en" available_langs: ["en","vi"] translation_fallback: null fallback_fields: [] published_at: "2026-11-04T16:30:40.000Z" category: "Frameworks" topics: ["amazon","agent","framework"] source_urls: ["https://www.theverge.com/tech/1028412/airbnb-ai-travel-agent-q3-2026-earnings"] summary: "A four-layer context engineering framework includes architecture, prompts, file-based tools, and verification agents. Deep Insight implemented this framework in working code. Deep Insight is an open source multi-agent data analysis solution on the Strands Agents SDK and Amazon Bedrock AgentCore." --- # Four layers of context engineering for production AI agents: How Deep Insight applies them in working code > [Open the canonical story]() **Published:** 2026-11-04T16:30:40.000Z **Category:** Frameworks **Topics:** amazon, agent, framework ## Summary A four\-layer context engineering framework includes architecture, prompts, file\-based tools, and verification agents\. Deep Insight implemented this framework in working code\. Deep Insight is an open source multi\-agent data analysis solution on the Strands Agents SDK and Amazon Bedrock AgentCore\. ## Sources - [Story source]()