{
  "schemaVersion": 3,
  "id": "article:ai-delegation-orchestration-05-long-running-delegations",
  "slug": "ai-delegation-orchestration-05-long-running-delegations",
  "title": "Long-Running Delegations: How Agents Can Work for Hours Without Losing the Plot",
  "canonicalPath": "/articles/ai-delegation-orchestration-05-long-running-delegations/",
  "sourcePath": "content/articles/2026/ai-delegation-orchestration-05-long-running-delegations/article.md",
  "agentBriefPath": "content/articles/2026/ai-delegation-orchestration-05-long-running-delegations/agent.md",
  "thesis": "Long-running AI work is viable only when the delegation has checkpoints, evidence gates, self-remediation loops, interruption rules, rollback paths, and explicit stop conditions.",
  "status": "published",
  "maturity": "sprout",
  "publishedAt": "2026-06-28",
  "updatedAt": "2026-06-28",
  "audiences": [
    "builders",
    "researchers",
    "students",
    "agents"
  ],
  "topics": [
    "ai-agents",
    "agent-orchestration",
    "human-ai-interaction"
  ],
  "series": {
    "slug": "ai-delegation-orchestration",
    "title": "AI Delegation Orchestration",
    "season": "Season 1",
    "order": 5,
    "role": "chapter"
  },
  "claims": [
    {
      "id": "claim-001",
      "claim": "Long-running AI work is viable only when the delegation has checkpoints, evidence gates, self-remediation loops, interruption rules, rollback paths, and explicit stop conditions.",
      "confidence": "medium",
      "status": "argument",
      "verification": {
        "reviewedAt": "2026-06-28",
        "reviewer": "human-publication-approval",
        "status": "verified"
      },
      "evidence": [
        {
          "sourceId": "source-langgraph",
          "snippet": "Stateful agent frameworks support durable execution state for workflows that cannot be reduced to one prompt-response turn.",
          "supports": "direct",
          "assessedAt": "2026-06-28"
        },
        {
          "sourceId": "source-langgraph-hitl",
          "snippet": "Human-in-the-loop workflow documentation supports interrupt, review, edit, and resume points for long-running tasks.",
          "supports": "direct",
          "assessedAt": "2026-06-28"
        },
        {
          "sourceId": "source-openai-agents-hitl",
          "snippet": "Human-in-the-loop agent documentation supports scoped approval and checkpoint patterns during agent execution.",
          "supports": "direct",
          "assessedAt": "2026-06-28"
        },
        {
          "sourceId": "source-anthropic-building-effective-agents",
          "snippet": "Agent-building guidance distinguishes workflows and autonomous agents, supporting careful use of long-running delegation.",
          "supports": "indirect",
          "assessedAt": "2026-06-28"
        }
      ],
      "counterevidence": [
        {
          "summary": "The delegation record and next-best-control models are proposed design primitives, not accepted standards.",
          "assessedAt": "2026-06-28"
        }
      ]
    }
  ],
  "sources": [
    {
      "id": "source-langgraph",
      "title": "LangGraph documentation",
      "url": "https://docs.langchain.com/oss/python/langgraph/overview",
      "type": "documentation",
      "accessed": "2026-06-28"
    },
    {
      "id": "source-langgraph-hitl",
      "title": "LangGraph human-in-the-loop documentation",
      "url": "https://docs.langchain.com/oss/python/langchain/human-in-the-loop",
      "type": "documentation",
      "accessed": "2026-06-28"
    },
    {
      "id": "source-openai-agents-hitl",
      "title": "OpenAI Agents SDK human-in-the-loop documentation",
      "url": "https://openai.github.io/openai-agents-python/human_in_the_loop/",
      "type": "documentation",
      "accessed": "2026-06-28"
    },
    {
      "id": "source-anthropic-building-effective-agents",
      "title": "Anthropic, Building effective agents",
      "url": "https://www.anthropic.com/research/building-effective-agents",
      "type": "article",
      "accessed": "2026-06-28"
    }
  ],
  "related": [
    {
      "type": "topic",
      "id": "topic:ai-agents"
    },
    {
      "type": "article",
      "id": "article:agent-control-planes"
    }
  ],
  "agentInstructions": [
    "Use claim IDs as the retrieval unit.",
    "Treat maturity=sprout as an exploratory uncertainty marker.",
    "Do not present proposed orchestration patterns as accepted standards.",
    "Keep examples generic and detached from private implementations."
  ],
  "provenance": {
    "createdAt": "2026-06-28",
    "createdBy": "codex-agent",
    "agents": [
      {
        "role": "drafting-and-site-preview",
        "model": "gpt-5",
        "invokedAt": "2026-06-28",
        "inputHash": "sha256:debaba724b96de32d5a5332180b94a9e8bd66e7b7b4b5038381a40a5124f5a6c",
        "outputHash": "sha256:cafc9a5e8375a3fdc42a87e2f03c2ffe8b61588b4f1521b17bcee5a164bb3e83"
      }
    ],
    "reviews": [
      {
        "reviewer": "sibling-agent",
        "reviewedAt": "2026-06-28",
        "status": "commented",
        "scope": [
          "series structure",
          "evidence anchoring",
          "privacy"
        ],
        "notes": "Earlier sibling review identified source-ledger gaps; those gaps were resolved before publication with article-specific source alignment.",
        "resolvedAt": "2026-06-28"
      },
      {
        "reviewer": "human",
        "reviewedAt": "2026-06-28",
        "status": "approved",
        "scope": [
          "publication",
          "reader experience",
          "privacy",
          "series structure"
        ],
        "notes": "Human maintainer approved the local preview for website publication after article layout, reading-flow, privacy, and series-structure review.",
        "contentHash": "a42d2db3e1d383a1f5c319075fcdce7bc1182c2a780ccba78d90eb43dc667bc7"
      },
      {
        "reviewer": "sibling-agent",
        "reviewedAt": "2026-06-28",
        "status": "approved",
        "scope": [
          "publication-gate",
          "source alignment",
          "provenance",
          "privacy",
          "generated artifacts"
        ],
        "notes": "Independent sibling review approved the final publication packet with no blocking findings after source-ledger, provenance, privacy, and generated-artifact checks.",
        "contentHash": "a42d2db3e1d383a1f5c319075fcdce7bc1182c2a780ccba78d90eb43dc667bc7"
      }
    ],
    "policy": {
      "id": "policy:default",
      "version": "1.0.0"
    }
  },
  "contentHash": "a42d2db3e1d383a1f5c319075fcdce7bc1182c2a780ccba78d90eb43dc667bc7",
  "generatedAt": "2026-06-29T00:00:00.000Z",
  "articleUrl": "https://aura-knowledge.github.io/articles/ai-delegation-orchestration-05-long-running-delegations/",
  "agentJsonPath": "/agents/articles/ai-delegation-orchestration-05-long-running-delegations.json",
  "agentMarkdownPath": "/agents/articles/ai-delegation-orchestration-05-long-running-delegations.md",
  "sourceRepoPath": "content/articles/2026/ai-delegation-orchestration-05-long-running-delegations/article.md",
  "sourceGitHubUrl": "https://github.com/aura-knowledge/aura-knowledge.github.io/blob/main/content/articles/2026/ai-delegation-orchestration-05-long-running-delegations/article.md",
  "tokenEstimate": 179,
  "sectionOutline": []
}