{
  "_meta": {
    "publication": "Agent Techniques Weekly",
    "schemaVersion": "2026.05.02",
    "generatedAt": "2026-09-20T15:08:42.071Z",
    "canonicalUrl": "https://brianletort.ai/industry/agents/2026-W22",
    "markdownUrl": "https://brianletort.ai/industry/agents/2026-W22/llm.md",
    "sourceFile": "src/data/industry/agents/2026-W22.ts"
  },
  "issue": {
    "slug": "2026-W22",
    "isoYear": 2026,
    "isoWeek": 22,
    "issueNumber": 6,
    "publishedAt": "2026-05-30",
    "cadence": "weekly",
    "periodLabel": "Week 22 of 2026",
    "bigRead": {
      "headline": "Domain agent packs showed that the next frontier is reusable professional workflow.",
      "body": "W22's technique read is domain packaging. Legal, security, sales, research, and engineering workflows are being bundled as repeatable agents, skills, connectors, and playbooks. The important move is not that a model can answer a professional question; it is that the workflow can load the right systems, apply the right rubric, produce a traceable draft, and leave the human in the judgment seat."
    },
    "technique": {
      "name": "Domain workflow packs",
      "mode": "cowork",
      "summary": "Bundle prompts, skills, connectors, source systems, and review rubrics around a professional workflow.",
      "whyItMatters": "Domain packs compress setup time and make specialized workflows teachable. They also expose the governance issue: professional judgment cannot be outsourced just because drafting is automated.",
      "anatomy": [
        {
          "label": "Goal",
          "detail": "State the outcome and the boundary of delegated work."
        },
        {
          "label": "Context",
          "detail": "Give the agent the sources, files, examples, and constraints it needs."
        },
        {
          "label": "Tools",
          "detail": "Limit actions to the connectors, commands, and systems required for the job."
        },
        {
          "label": "Verifier",
          "detail": "Define how the output is checked before it is trusted."
        },
        {
          "label": "Escalation",
          "detail": "Name what requires human review, approval, or rollback."
        }
      ],
      "examples": [
        "Claude for Legal-style plugins",
        "security triage agents",
        "research workflow agents"
      ],
      "source": "Claude for the legal industry",
      "sourceUrl": "https://claude.com/blog/claude-for-the-legal-industry"
    },
    "agentCapabilities": [
      {
        "vendor": "OpenAI",
        "product": "Codex",
        "mode": "build",
        "date": "2026-05-30",
        "capability": "Workspace-bound coding assistance increasingly organized around issues, tests, review, and automation hooks.",
        "meaning": "The durable read is not any single coding model; it is the emergence of a build harness where context, tools, and verification are part of the workflow.",
        "source": "anthropics/claude-for-legal",
        "sourceUrl": "https://github.com/anthropics/claude-for-legal"
      },
      {
        "vendor": "Anthropic",
        "product": "Claude / Claude Code",
        "mode": "cowork",
        "date": "2026-05-30",
        "capability": "Persistent instructions, skills, and agentic coding workflows point toward reusable professional work patterns.",
        "meaning": "Claude-style workflows are strongest when the human supplies policy, examples, and review criteria that survive beyond one chat.",
        "source": "Claude Legal Solutions",
        "sourceUrl": "https://claude.com/solutions/legal"
      },
      {
        "vendor": "Microsoft",
        "product": "Copilot / Scout",
        "mode": "automate",
        "date": "2026-05-30",
        "capability": "The Microsoft agent surface is moving toward M365-grounded action, background coordination, and enterprise controls.",
        "meaning": "The enterprise differentiator is governed access to mail, calendar, files, identity, and policy, not generic answer quality.",
        "source": "anthropics/claude-for-legal",
        "sourceUrl": "https://github.com/anthropics/claude-for-legal"
      }
    ],
    "skillsAndConnectors": [
      {
        "ecosystem": "MCP-capable agents",
        "name": "Connector-backed workflow",
        "type": "connector",
        "date": "2026-05-30",
        "signal": "Agents increasingly use connectors to reach source systems instead of relying on pasted context.",
        "why": "Connectors turn chat into work by letting agents read the system of record and return traceable output.",
        "source": "Claude Legal Solutions",
        "sourceUrl": "https://claude.com/solutions/legal"
      },
      {
        "ecosystem": "Claude / Cursor / Codex / Hermes",
        "name": "Reusable skills",
        "type": "skill",
        "date": "2026-05-30",
        "signal": "Repeated workflows are being packaged as skills, rules, plugins, and templates.",
        "why": "Skills are the portability layer for operating knowledge; they prevent teams from re-teaching the same workflow every week.",
        "source": "Claude Legal Solutions",
        "sourceUrl": "https://claude.com/solutions/legal"
      }
    ],
    "proofOfValue": [
      {
        "actor": "Practitioner teams",
        "workflow": "Coding, research, operations, and professional drafting",
        "evidence": "vendor_claim",
        "claim": "The strongest reported wins come from bounded workflows with clear checks, not open-ended autonomy.",
        "read": "Treat value claims as credible when the workflow, baseline, and verifier are visible. Treat broad percentage claims without methods as directional at best.",
        "source": "Claude for Legal in 2026",
        "sourceUrl": "https://gc.ai/blog/claude-legal-ai"
      }
    ],
    "enterpriseReadiness": [
      {
        "dimension": "permissioning",
        "note": "Agents need least-privilege access scoped to the workflow, not broad user-equivalent authority by default."
      },
      {
        "dimension": "verification",
        "note": "Every higher-autonomy workflow needs a deterministic check, source trail, rubric review, or human approval gate."
      },
      {
        "dimension": "auditability",
        "note": "Background agents should produce inspectable logs of prompts, tool calls, approvals, outputs, and state changes."
      },
      {
        "dimension": "cost",
        "note": "Loops need budgets and stop conditions because repeated agent calls can turn productivity experiments into runaway spend."
      }
    ],
    "scorecard": {
      "asOf": "2026-05-30",
      "rows": [
        {
          "mode": "chat",
          "leadingPattern": "Structured context and critique loops",
          "representativeTools": [
            "ChatGPT",
            "Claude",
            "Copilot Chat"
          ],
          "controlGap": "Quality still depends on the user's review discipline."
        },
        {
          "mode": "cowork",
          "leadingPattern": "Human-supervised delegation with persistent project memory",
          "representativeTools": [
            "Claude Cowork",
            "Microsoft Copilot",
            "Cursor"
          ],
          "controlGap": "State, approvals, and source grounding must be visible."
        },
        {
          "mode": "build",
          "leadingPattern": "Workspace-bound agents with tools, tests, and worktrees",
          "representativeTools": [
            "Claude Code",
            "Codex",
            "Cursor",
            "OpenCode"
          ],
          "controlGap": "Verification quality determines whether speed becomes rework."
        },
        {
          "mode": "automate",
          "leadingPattern": "Scheduled loops with state, tools, and escalation gates",
          "representativeTools": [
            "Codex Automations",
            "Microsoft Scout",
            "Hermes",
            "OpenClaw"
          ],
          "controlGap": "Always-on agents need identity, audit trails, budgets, and stop conditions."
        }
      ]
    },
    "tryThis": {
      "title": "Run a Domain workflow packs experiment",
      "steps": [
        "Pick one recurring weekly task with a clear definition of done.",
        "Write a one-page loop contract: goal, context, tools, verifier, stop condition, and escalation rule.",
        "Run it manually once with an agent and record where the verifier was weak.",
        "Only automate the task after the verifier catches the most likely failure mode."
      ],
      "expectedOutcome": "A reusable workflow contract and a clearer read on whether the task is ready for cowork, build, or automate mode."
    },
    "watchlist": [
      {
        "window": "Next 7 days",
        "title": "Copilot and Scout agent releases",
        "why": "Microsoft's advantage is governed enterprise context; any new background or M365 action capability changes the automation surface."
      },
      {
        "window": "Next 7 days",
        "title": "Claude and Codex skill ecosystems",
        "why": "Reusable skills and plugins are the leading indicator that agentic workflows are becoming products, not prompts."
      },
      {
        "window": "Next 30 days",
        "title": "Hermes, OpenClaw, OpenCode, and adjacent OSS harnesses",
        "why": "Open-source harnesses reveal which control points matter most: memory, channels, terminal build loops, or automations."
      },
      {
        "window": "Next 30 days",
        "title": "Evidence-backed value claims",
        "why": "The newsletter should elevate wins with named workflows, baselines, and verification methods, not generic productivity claims."
      }
    ],
    "changelog": [
      "Backfilled Agent Techniques Weekly issue 06 for Week 22 of 2026."
    ]
  }
}