{
  "id": "workflow:prompt-engineering-iteration",
  "_kind": "Workflow",
  "_file": "domain/workflows/workflows-technical-depth.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Prompt Engineering Iteration",
    "description": "Focused iteration loop for systematically improving the quality and reliability of\nprompts powering AI-driven product features. The ML engineer hypothesises changes\nto the system prompt, few-shot examples, or instruction structure, then runs an\nautomated evaluation suite to measure impact against quality metrics. A version-\ncontrolled prompt registry tracks all variants and their eval scores. Winning\ncandidates graduate to a shadow-traffic A/B test in production, and only prompts\nthat improve user-facing metrics are promoted to the live configuration.\n",
    "workflowKind": "development",
    "triggerType": "on-demand",
    "typicalCadence": "per-sprint",
    "complexity": "moderate"
  },
  "outgoingEdges": [
    {
      "from": "workflow:prompt-engineering-iteration",
      "to": "role:ml-engineer",
      "kind": "involves_role"
    },
    {
      "from": "workflow:prompt-engineering-iteration",
      "to": "role:backend-engineer",
      "kind": "involves_role"
    },
    {
      "from": "workflow:prompt-engineering-iteration",
      "to": "role:product-manager",
      "kind": "involves_role"
    },
    {
      "from": "workflow:prompt-engineering-iteration",
      "to": "domain:software-engineering",
      "kind": "applies_to_domain"
    }
  ],
  "incomingEdges": [
    {
      "from": "stack-profile:agentic-rag",
      "to": "workflow:prompt-engineering-iteration",
      "kind": "follows_workflow"
    },
    {
      "from": "stack-profile:voice-ai-agent",
      "to": "workflow:prompt-engineering-iteration",
      "kind": "follows_workflow"
    },
    {
      "from": "stack-profile:ai-code-review-pipeline",
      "to": "workflow:prompt-engineering-iteration",
      "kind": "follows_workflow"
    },
    {
      "from": "stack-profile:autonomous-agent-fleet",
      "to": "workflow:prompt-engineering-iteration",
      "kind": "follows_workflow"
    },
    {
      "from": "stack-profile:prompt-engineering-workbench",
      "to": "workflow:prompt-engineering-iteration",
      "kind": "follows_workflow"
    },
    {
      "from": "stack-profile:ai-safety-guardrails",
      "to": "workflow:prompt-engineering-iteration",
      "kind": "follows_workflow"
    },
    {
      "from": "tool:anthropic",
      "to": "workflow:prompt-engineering-iteration",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Claude prompt and tool-use behavior is directly relevant to prompt iteration."
      }
    },
    {
      "from": "tool:openai",
      "to": "workflow:prompt-engineering-iteration",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Prompt and response behavior are direct inputs to prompt iteration."
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--conversation-quality-testing",
      "to": "workflow:prompt-engineering-iteration",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:ai-agents-conversational--prompt-engineering-workflow",
      "to": "workflow:prompt-engineering-iteration",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    }
  ]
}