{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "drhazemali-enterprise-system-design--trace-permission-aware-ai-retrieval",
 "repo": "DrHazemAli/enterprise-system-design",
 "repo_url": "https://github.com/DrHazemAli/enterprise-system-design",
 "repo_slug": "drhazemali-enterprise-system-design",
 "title": "Trace permission-aware retrieval in an AI feature",
 "page_title": "How to trace permission-aware retrieval in an AI feature with Enterprise System Design",
 "summary": "Follow one AI query from identity through authorized retrieval and grounding to the response.",
 "who": "An AI platform engineer deciding how retrieval must respect user permissions before an answer is generated.",
 "problem": "Permission-aware retrieval, token limits, and tool authority are easy to leave implicit in AI designs.",
 "outcome": "A boundary-by-boundary trace of one query with each authority check and owner named.",
 "steps": [
  "Run `git clone https://github.com/DrHazemAli/enterprise-system-design.git`",
  "Run `cd enterprise-system-design`",
  "Open reference/02-data-and-retrieval/12-embeddings-and-vector-similarity.md and read how knowledge becomes searchable evidence.",
  "Open reference/03-ai-control-plane/ and note who controls tokens, tools, state, and model selection.",
  "Open principles/ai-systems/01-representation-authority-and-memory.md and apply its governing question to your design."
 ],
 "agent_prompt": "Read the enterprise-system-design repository and trace a retrieval request for <target AI feature> from user identity through authorization, retrieval, grounding, and response. Output a table of each boundary with its authority check and one unverified assumption. Verify that every boundary has a named owner.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "15 minutes",
 "basis": "readme",
 "caveat": "The README covers AI systems as design reasoning, so the chapters do not supply a working retrieval implementation to deploy.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "",
 "requirements": [
  "git installed, to clone the repository",
  "A Markdown reader or code editor to read the chapters"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/drhazemali-enterprise-system-design/trace-permission-aware-ai-retrieval/",
 "md": "https://dedupedai.com/use-cases/drhazemali-enterprise-system-design/trace-permission-aware-ai-retrieval/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/drhazemali-enterprise-system-design--trace-permission-aware-ai-retrieval.json",
 "api_version": "v1"
}