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A Neutron-powered agent can also retrieve authorized history, apply installed industry knowledge, compare bounded future scenarios, record the selected decision, observe what actually happened, and use reviewed lessons during the next similar task.",[262,266,267],{},"This creates continuity without replaying whole conversations or storing private reasoning.",[269,270,272],"h2",{"id":271},"what-each-capability-contributes","What each capability contributes",[274,275,276,292],"table",{},[277,278,279],"thead",{},[280,281,282,286,289],"tr",{},[283,284,285],"th",{},"Capability",[283,287,288],{},"Question it answers",[283,290,291],{},"Example",[293,294,295,307,318,329,340,351],"tbody",{},[280,296,297,301,304],{},[298,299,300],"td",{},"Scoped memory",[298,302,303],{},"What relevant facts, preferences, actions, and lessons are already known?",[298,305,306],{},"A previous staged rollout failed when a database migration exceeded the lock budget.",[280,308,309,312,315],{},[298,310,311],{},"Industry knowledge",[298,313,314],{},"Which domain rules, terminology, workflows, and source anchors apply?",[298,316,317],{},"A construction agent retrieves the installed jobsite operations pack.",[280,319,320,323,326],{},[298,321,322],{},"Consequence planning",[298,324,325],{},"What may happen under each bounded option?",[298,327,328],{},"Compare pause, pilot, staged rollout, and immediate rollout scenarios.",[280,330,331,334,337],{},[298,332,333],{},"Decision record",[298,335,336],{},"What was selected, by whom, using which evidence and constraints?",[298,338,339],{},"Record the approved staged rollout and rejected alternatives.",[280,341,342,345,348],{},[298,343,344],{},"Observation",[298,346,347],{},"What happened after the decision?",[298,349,350],{},"The pilot completed with no errors but took 18 minutes longer than predicted.",[280,352,353,356,359],{},[298,354,355],{},"Reflection",[298,357,358],{},"How should a future decision change?",[298,360,361],{},"Increase duration estimates and require a smaller first cohort for similar migrations.",[262,363,364],{},"Memory provides evidence. Consequence provides a reviewable decision lifecycle. Neither replaces current source data, deterministic tools, a specialist solver, or an accountable human.",[269,366,368],{"id":367},"the-agent-loop","The agent loop",[370,371,376],"pre",{"className":372,"code":373,"language":374,"meta":375,"style":375},"language-mermaid shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","flowchart LR\n  A[\"Current task\"] --> B[\"Recall scoped memory\"]\n  B --> C[\"Add installed industry knowledge\"]\n  C --> D[\"Build bounded consequence scenarios\"]\n  D --> E[\"Record a decision\"]\n  E --> F{\"Approval required?\"}\n  F -->|Yes| G[\"Authorized human approval\"]\n  F -->|No| H[\"Approved decision\"]\n  G --> H\n  H --> I[\"Application performs its authorized action\"]\n  I --> J[\"Record observed outcomes\"]\n  J --> K[\"Create reviewable reflection lesson\"]\n  K --> L[\"Use approved lesson in a future task\"]\n","mermaid","",[377,378,379,387,393,399,405,411,417,423,429,435,441,447,453],"code",{"__ignoreMap":375},[380,381,384],"span",{"class":382,"line":383},"line",1,[380,385,386],{},"flowchart LR\n",[380,388,390],{"class":382,"line":389},2,[380,391,392],{},"  A[\"Current task\"] --> B[\"Recall scoped memory\"]\n",[380,394,396],{"class":382,"line":395},3,[380,397,398],{},"  B --> C[\"Add installed industry knowledge\"]\n",[380,400,402],{"class":382,"line":401},4,[380,403,404],{},"  C --> D[\"Build bounded consequence scenarios\"]\n",[380,406,408],{"class":382,"line":407},5,[380,409,410],{},"  D --> E[\"Record a decision\"]\n",[380,412,414],{"class":382,"line":413},6,[380,415,416],{},"  E --> F{\"Approval required?\"}\n",[380,418,420],{"class":382,"line":419},7,[380,421,422],{},"  F -->|Yes| G[\"Authorized human approval\"]\n",[380,424,426],{"class":382,"line":425},8,[380,427,428],{},"  F -->|No| H[\"Approved decision\"]\n",[380,430,432],{"class":382,"line":431},9,[380,433,434],{},"  G --> H\n",[380,436,438],{"class":382,"line":437},10,[380,439,440],{},"  H --> I[\"Application performs its authorized action\"]\n",[380,442,444],{"class":382,"line":443},11,[380,445,446],{},"  I --> J[\"Record observed outcomes\"]\n",[380,448,450],{"class":382,"line":449},12,[380,451,452],{},"  J --> K[\"Create reviewable reflection lesson\"]\n",[380,454,456],{"class":382,"line":455},13,[380,457,458],{},"  K --> L[\"Use approved lesson in a future task\"]\n",[262,460,461,462,465],{},"The default Neutron runtime does not execute an external action. It can return ",[377,463,464],{},"execution_ready"," only after the policy and approval gates pass; an application-owned, authorized, idempotent adapter remains responsible for execution.",[269,467,469],{"id":468},"context-that-learns-from-history","Context that learns from history",[262,471,472],{},"Consequence planning can explicitly include five context sources:",[262,474,475,476,480,481,480,483,480,485,487,488,490],{},"The compact typed example below is followed by complete equivalent implementations for ",[477,478,479],"a",{"href":171},"TypeScript\u002FJavaScript",", ",[477,482,86],{"href":174},[477,484,90],{"href":177},[477,486,94],{"href":180},", and ",[477,489,98],{"href":183},".",[370,492,496],{"className":493,"code":494,"language":495,"meta":375,"style":375},"language-ts shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","const run = await client.consequencePlan({\n  scopeIds: [\n    \"industry:ai-engineering-delivery\",\n    \"service:checkout-api\",\n    \"history:checkout-releases\",\n    \"policy:production-change\"\n  ],\n  agentId: \"agent:release-manager\",\n  task: \"Compare safe rollout options for checkout API version 3.8.\",\n  domain: \"engineering_ops\",\n  contextPolicy: {\n    includeMemory: true,\n    includeKnowledge: true,\n    includeContextCapsules: true,\n    includePastDecisions: true,\n    includeReflections: true\n  },\n  policy: {\n    depth: 10,\n    allowExecution: false,\n    storeSafeArtifactsOnly: true\n  }\n});\n","ts",[377,497,498,531,543,558,569,580,590,597,614,630,646,656,669,680,692,704,715,721,731,745,758,768,774],{"__ignoreMap":375},[380,499,500,504,508,512,516,519,521,525,528],{"class":382,"line":383},[380,501,503],{"class":502},"spNyl","const",[380,505,507],{"class":506},"sTEyZ"," run ",[380,509,511],{"class":510},"sMK4o","=",[380,513,515],{"class":514},"s7zQu"," await",[380,517,518],{"class":506}," 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\"",[380,549,551],{"class":550},"sfazB","industry:ai-engineering-delivery",[380,553,554],{"class":510},"\"",[380,556,557],{"class":510},",\n",[380,559,560,562,565,567],{"class":382,"line":401},[380,561,547],{"class":510},[380,563,564],{"class":550},"service:checkout-api",[380,566,554],{"class":510},[380,568,557],{"class":510},[380,570,571,573,576,578],{"class":382,"line":407},[380,572,547],{"class":510},[380,574,575],{"class":550},"history:checkout-releases",[380,577,554],{"class":510},[380,579,557],{"class":510},[380,581,582,584,587],{"class":382,"line":413},[380,583,547],{"class":510},[380,585,586],{"class":550},"policy:production-change",[380,588,589],{"class":510},"\"\n",[380,591,592,595],{"class":382,"line":419},[380,593,594],{"class":506},"  ]",[380,596,557],{"class":510},[380,598,599,602,604,607,610,612],{"class":382,"line":425},[380,600,601],{"class":535},"  agentId",[380,603,539],{"class":510},[380,605,606],{"class":510}," 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