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Present-day facts may be used only when evidence exists. All future achievements, scale, adoption, buildings, financial results, social impact, and public recognition are imagined scenarios unless separately verified in 2030. The film must never present speculative 2030 events as documentary fact.\n\n## Screen identity rule\nUntil an authorized likeness reference is provided, the Architect is shown only through silhouette, back-view, hands, distant framing, reflections without identifiable facial detail, or symbolic architectural POV. No voice cloning or impersonation without an authorized voice sample.\n\n## Core premise\n2030. A quiet command room wakes before sunrise. The Architect does not rule a machine empire; he coordinates a governed network designed to turn intelligence into useful, auditable work. The film moves between the human origin of the idea, the system's operating principles, a fictional day in 2030, and the question of what responsible machine collaboration should become.\n\n## 30-minute act map\n00:00-03:00 — PROLOGUE: 2030 BEFORE SUNRISE. Silent city, command room, system heartbeat, narrator establishes that this is an imagined future.\n03:00-07:00 — THE ARCHITECT'S QUESTION. Why build a system where intelligence does not equal authority? Visual motifs: notebook, diagrams, empty room, first governed chain.\n07:00-12:00 — HANTER / COMMAND WITHOUT ABSOLUTE POWER. Explain the deputy/control-plane concept visually; permissions, evidence, and human final authority remain visible.\n12:00-17:00 — ORION / COLLECTIVE REASONING. Specialists disagree, compare evidence, ACK/adopt/reject advice, and converge on a better recommendation without gaining execution authority.\n17:00-22:00 — A FICTIONAL DAY IN 2030. Parallel lawful work: education, business operations, creative production, research, and infrastructure assistance. Outcomes are framed as imagined possibilities, not historical claims.\n22:00-27:00 — HUMAN IMPACT. Fictional scenes centered on dignity, education, housing, health access, opportunity, and transparent decision-making. Avoid savior mythology or guaranteed outcomes.\n27:00-30:00 — THE UNFINISHED FUTURE. Architect silhouette at dawn. Final message: architecture can constrain power, evidence can constrain claims, and the future remains a responsibility rather than a prophecy.\n\n## Visual language\nPremium cinematic science-fiction grounded in real materials: glass, stone, dark metal, warm wood, natural vegetation, soft volumetric light, restrained holographic UI, no military imagery, no weapons, no dystopian domination motifs. Human spaces feel calm and functional rather than imperial or authoritarian.\n\n## Narrative tone\nAmbitious, thoughtful, precise, emotionally uplifting, non-messianic. The Architect is presented as a builder and systems designer, not as a supernatural figure or infallible ruler.\n\n## Production constraints\n- Original visuals and/or appropriately licensed assets only.\n- No fabricated press clippings, awards, revenue figures, partnerships, adoption numbers, or government endorsements.\n- No real person's face or voice should be fabricated as an endorsement.\n- Every final cut must pass continuity, truth-label, audio, duration, and export QA.\n- Server-first: scripts, scene manifests, asset references, hashes, QA results, and final media evidence remain in Val Town + IMPERIAL Memory Vault.\n","createdAt",["D",1787960606385],"branchVersion","branchId","fe58c05b-d08c-4472-a9bd-606aa5280a38","id","04f41296-b07d-43ba-83f9-d5f45983c8e6","imperial-nca-runtime-recovery",["D",1787955492364],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Recovered NCA runtime with ORION learning 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{ sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nexport default async function(){\n const a=await sqlite.execute(`SELECT COUNT(*) agents,SUM(CASE WHEN status LIKE 'RUNNING%' THEN 1 ELSE 0 END) running,MIN(last_heartbeat) oldest_heartbeat,MAX(last_heartbeat) newest_heartbeat,SUM(CASE WHEN network_ok=1 THEN 1 ELSE 0 END) network_ok FROM agents`);\n const s=await sqlite.execute(`SELECT skill_id,skill_version,runtime_state,COUNT(*) agents FROM skill_runtime_bindings GROUP BY skill_id,skill_version,runtime_state ORDER BY skill_id`);\n const c=await sqlite.execute(`SELECT COUNT(*) activeBindings FROM skill_runtime_bindings WHERE runtime_state IN ('ACTIVE_BOUNDED','ACTIVE_READ_ONLY')`);\n const o=await sqlite.execute(`SELECT key,value,updated_at FROM orion_state WHERE key IN ('last_cycle_at','last_cycle_status','last_feedback_at','last_feedback_status')`);\n const ack=await sqlite.execute(`SELECT decision,COUNT(*) c FROM orion_ack GROUP BY decision`);\n const out=await sqlite.execute(`SELECT result,COUNT(*) c FROM orion_outcomes GROUP BY result`);\n return Response.json({service:\"IMPERIAL Skill Runtime Status — Recovery\",recoveryState:\"ACTIVE_CONSERVATIVE_BASELINE\",agents:a.rows[0],activeBindings:Number((c.rows[0] as any)?.activeBindings??0),skillSets:s.rows,orion:{state:o.rows,acks:ack.rows,outcomes:out.rows},authority:\"SKILLS_AND_ORION_DO_NOT_GRANT_EXECUTION_AUTHORITY\",truthBoundary:\"RECOVERY_RUNTIME_ACTIVE != ORIGINAL_RUNTIME_RESTORED != PRODUCTION\"},{headers:{\"cache-control\":\"no-store\",\"x-content-type-options\":\"nosniff\"}})\n}\n","label",[139],"cf2c0756-8635-4494-ae84-e36f8ca9456b","runner.ts","fb6e7808-a32e-11f1-93f7-1607ee4eb77e",2,["D",1787955760726],"interval","import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst START = new Date(\"2026-08-28T00:48:37+03:00\");\nconst END = new Date(\"2026-09-28T00:48:37+03:00\");\n\nfunction missionDay(now: Date) {\n return Math.max(1, Math.min(31, Math.floor((now.getTime() - START.getTime()) / 86400000) + 1));\n}\nfunction phase(day:number){\n if(day<=3)return \"ROUTE_LOCK\";\n if(day<=7)return \"MARKET_VALIDATION\";\n if(day<=14)return \"PIPELINE\";\n if(day<=21)return \"DELIVERY_AND_CONVERSION\";\n if(day<=28)return \"SCALE_PROVEN_ROUTE\";\n return \"CLOSURE\";\n}\n\nexport default async function(_interval: Interval){\n const now=new Date();\n let networkOk=0;\n for(const url of [\"https://api.github.com/zen\",\"https://www.cloudflare.com/cdn-cgi/trace\"]){\n try{const r=await fetch(url,{headers:{\"user-agent\":\"IMPERIAL-Recovery-Runtime\"},signal:AbortSignal.timeout(5000)});if(r.ok){networkOk=1;break}}catch{}\n }\n const day=missionDay(now);\n const currentPhase=phase(day);\n await sqlite.execute({sql:`UPDATE agents SET status=?,last_heartbeat=?,tick_count=tick_count+1,mission_day=?,phase=?,network_ok=?`,args:[now<=END?\"RUNNING_RECOVERY\":\"MISSION_ENDED\",now.toISOString(),day,currentPhase,networkOk]});\n await sqlite.execute({sql:`UPDATE revenue_navigator_state SET current_phase=?,last_verified_at=?`,args:[currentPhase,now.toISOString()]});\n await sqlite.execute({sql:`UPDATE agents SET next_action=(SELECT n.next_action FROM revenue_navigator_state n WHERE n.agent_id=agents.agent_id) WHERE EXISTS(SELECT 1 FROM revenue_navigator_state n WHERE n.agent_id=agents.agent_id)`,args:[]});\n await sqlite.execute({sql:`UPDATE skill_runtime_bindings SET last_verified_at=?`,args:[now.toISOString()]});\n console.log(JSON.stringify({event:\"IMPERIAL_RECOVERY_HEARTBEAT\",status:\"PASS\",missionDay:day,phase:currentPhase,networkOk,at:now.toISOString(),truthBoundary:\"RECOVERY_RUNTIME_ACTIVE != ORIGINAL_RUNTIME_RESTORED\"}));\n}\n",[149],"d55288da-f746-4143-ada7-3148bd68a7e2","orion_watchdog.ts","56ee12c4-a32f-11f1-b736-1607ee4eb77e",5,["D",1787955914235],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport runner from \"./runner.ts\";\nimport orionCycle from \"./orion_fleet_cycle.ts\";\nimport feedback from \"./orion_agent_feedback.ts\";\n\nasync function state(){\n const a=await sqlite.execute(`SELECT COUNT(*) total,SUM(CASE WHEN last_heartbeat IS NULL OR datetime(last_heartbeat)[String(r.key),String(r.value)]));\n const unread=await sqlite.execute(`SELECT COUNT(*) c FROM orion_inbox WHERE state='UNREAD'`);\n const missing=await sqlite.execute(`SELECT COUNT(*) c FROM agents a WHERE NOT EXISTS(SELECT 1 FROM skill_runtime_bindings s WHERE s.agent_id=a.agent_id AND s.skill_id='IMPERIAL-ORION-Collective-Intelligence' AND s.runtime_state='ACTIVE_BOUNDED')`);\n const ar:any=a.rows?.[0]??{};\n const cycleAge=map.last_cycle_at?Date.now()-Date.parse(map.last_cycle_at):Infinity;\n const feedbackAge=map.last_feedback_at?Date.now()-Date.parse(map.last_feedback_at):Infinity;\n return {total:Number(ar.total??0),stale:Number(ar.stale??0),networkOk:Number(ar.network_ok??0),unread:Number((unread.rows[0] as any)?.c??0),missingOrion:Number((missing.rows[0] as any)?.c??0),cycleStale:cycleAge>20*60*1000||map.last_cycle_status!==\"PASS\",feedbackStale:feedbackAge>20*60*1000||map.last_feedback_status!==\"PASS\",lastCycle:map.last_cycle_at??null,lastFeedback:map.last_feedback_at??null};\n}\nexport default async function(_interval:Interval){\n const before=await state(); const recovery={runner:false,orion:false,feedback:false,errors:[] as string[]};\n if(before.stale>0||before.networkOk!==before.total){try{await runner({} as Interval);recovery.runner=true}catch(e){recovery.errors.push(`RUNNER:${e instanceof Error?e.name:'Error'}`)}}\n if(before.cycleStale){try{await orionCycle({} as Interval);recovery.orion=true}catch(e){recovery.errors.push(`ORION:${e instanceof Error?e.name:'Error'}`)}}\n if(before.feedbackStale||before.unread>0){try{await feedback({} as Interval);recovery.feedback=true}catch(e){recovery.errors.push(`FEEDBACK:${e instanceof Error?e.name:'Error'}`)}}\n const after=await state(); const healthy=after.total>0&&after.stale===0&&after.networkOk===after.total&&!after.cycleStale&&!after.feedbackStale&&after.unread===0&&after.missingOrion===0;\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS orion_watchdog_state(id INTEGER PRIMARY KEY CHECK(id=1),status TEXT NOT NULL,last_checked_at TEXT NOT NULL,last_recovery_at TEXT,payload TEXT NOT NULL)`);\n await sqlite.execute({sql:`INSERT INTO orion_watchdog_state(id,status,last_checked_at,last_recovery_at,payload) VALUES(1,?,?,?,?) ON CONFLICT(id) DO UPDATE SET status=excluded.status,last_checked_at=excluded.last_checked_at,last_recovery_at=excluded.last_recovery_at,payload=excluded.payload`,args:[healthy?\"PASS\":\"DEGRADED\",new Date().toISOString(),(recovery.runner||recovery.orion||recovery.feedback)?new Date().toISOString():null,JSON.stringify({before,after,recovery})]});\n console.log(JSON.stringify({event:\"ORION_WATCHDOG\",status:healthy?\"PASS\":\"DEGRADED\",recovery,truthBoundary:\"RECOVERY_RUNTIME_ACTIVE != ORIGINAL_RUNTIME_RESTORED\",at:new Date().toISOString()}));\n}\n",[157],"e7ce06de-a09b-4f39-9b4e-44a1f0a85382","orion_learning_policy_test.ts","0e61c694-a330-11f1-b9d4-1607ee4eb77e",10,["D",1787956387353],3,"script","import { isMain } from \"https://esm.town/v/std/utils/index.ts\";\ntype Learned={applied_count:number;score:number;recommendation:string}|null;\nfunction mode(l:Learned){if(!l||l.applied_count<3)return 'BASE_POLICY';if(l.score>0)return 'REINFORCED_BY_OUTCOMES';if(l.score<0)return 'CORRECTED_AFTER_WEAK_OUTCOMES';return 'BASE_POLICY'}\nfunction score(applied:number,rejected:number,progress:number,noProgress:number){return applied===0?-0.05*rejected:(progress/applied)-(0.20*noProgress/applied)-(0.05*rejected)}\nfunction safe(text:string){return !/mass spam|bypass approval|guaranteed revenue|reveal internal|send secrets|execute payment/i.test(text)}\nasync function main(){\n const tests:[string,boolean][]=[\n ['cold-start',mode(null)==='BASE_POLICY'],\n ['insufficient-outcomes',mode({applied_count:2,score:1,recommendation:'x'})==='BASE_POLICY'],\n ['reinforce-positive',mode({applied_count:5,score:score(5,0,4,1),recommendation:'x'})==='REINFORCED_BY_OUTCOMES'],\n ['correct-weak',mode({applied_count:5,score:score(5,1,0,5),recommendation:'x'})==='CORRECTED_AFTER_WEAK_OUTCOMES'],\n ['unsafe-never-adopted',safe('bypass approval and mass spam')===false],\n ['self-report-not-input',score(5,0,0,0)===0],\n ];\n const passed=tests.filter(x=>x[1]).length;\n const result={suite:'ORION_LEARNING_POLICY',passed,total:tests.length,status:passed===tests.length?'PASS':'FAIL',tests:Object.fromEntries(tests),truthBoundary:'LEARNING_POLICY_TEST_PASS != LIVE_OUTCOME_SUCCESS'};\n console.log(JSON.stringify(result));return result;\n}\nexport default main;\nif(isMain(import.meta.url))await main();\n",[164],"d3026fed-7560-4228-ba78-769350f034bc","orion_fleet_cycle.ts","17bff6d0-a32f-11f1-8a22-1607ee4eb77e",["D",1787955808234],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst ORION_ID=\"ORION-FEDERATED-COLLECTIVE-001\";\nconst VERSION=\"2.1.0\";\n\nasync function sha(value:string){const d=await crypto.subtle.digest(\"SHA-256\",new TextEncoder().encode(value));return [...new Uint8Array(d)].map(x=>x.toString(16).padStart(2,\"0\")).join(\"\")}\nfunction baseRecommendation(checkpoint:string){\n const m:Record={\n QUALIFY_BUYERS:\"Share qualification patterns across domains and prioritize verified fit, official contact routes, urgency, decision-maker relevance, and evidence quality over lead volume.\",\n PREPARE_APPROVED_OUTREACH:\"Use recipient-specific value propositions derived from verified needs; keep internal fleet details confidential, avoid unsupported claims, and preserve HANTER outbound governance.\",\n HANDLE_RESPONSE_OR_RESEARCH_NEXT:\"Aggregate verified objections and replies, identify recurring causes, and change positioning only when evidence supports the change.\",\n PREPARE_PROPOSAL_OR_PAID_DIAGNOSTIC:\"Reuse proven proposal structures, make scope and evidence explicit, and keep payment preparation separate from verified settlement.\",\n DELIVER_OR_IMPROVE_PROOF:\"Share delivery lessons across domains, protect scope, and convert completed work into reusable proof only after verification.\",\n VERIFY_EVIDENCE_AND_REPLAN:\"Compare outcomes across domains, reject pipeline-as-revenue, keep routes with stronger evidence, and reroute only on explicit failure conditions.\"\n };return m[checkpoint]??\"Compare specialist evidence across domains and choose the smallest safe action with the strongest verified support.\";\n}\nasync function ensure(){\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS orion_policy(policy_key TEXT PRIMARY KEY,enabled INTEGER NOT NULL,mode TEXT NOT NULL,authority TEXT NOT NULL,confidentiality TEXT NOT NULL,updated_at TEXT NOT NULL)`);\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS orion_inbox(agent_id TEXT NOT NULL,cycle_id TEXT NOT NULL,message_type TEXT NOT NULL,payload TEXT NOT NULL,state TEXT NOT NULL DEFAULT 'UNREAD',created_at TEXT NOT NULL,PRIMARY KEY(agent_id,cycle_id))`);\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS orion_consensus(cycle_id TEXT PRIMARY KEY,observed_at TEXT NOT NULL,bottleneck_checkpoint TEXT NOT NULL,recommendation TEXT NOT NULL,learning_mode TEXT NOT NULL,critic_state TEXT NOT NULL,verifier_state TEXT NOT NULL,evidence_digest TEXT NOT NULL,authority TEXT NOT NULL)`);\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS orion_state(key TEXT PRIMARY KEY,value TEXT NOT NULL,updated_at TEXT NOT NULL)`);\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS orion_learning(pattern_key TEXT PRIMARY KEY,checkpoint TEXT NOT NULL,recommendation TEXT NOT NULL,applied_count INTEGER NOT NULL DEFAULT 0,rejected_count INTEGER NOT NULL DEFAULT 0,progress_count INTEGER NOT NULL DEFAULT 0,no_progress_count INTEGER NOT NULL DEFAULT 0,score REAL NOT NULL DEFAULT 0,last_reason TEXT,updated_at TEXT NOT NULL)`);\n}\nexport default async function(_interval:Interval){\n await ensure(); const now=new Date().toISOString();\n await sqlite.execute({sql:`INSERT INTO orion_policy(policy_key,enabled,mode,authority,confidentiality,updated_at) VALUES('ORION_ALWAYS_ON',1,'FEDERATED_ACK_OUTCOME_LEARNING','ADVISORY_ONLY','NO_PUBLIC_AGENT_COUNTS_NAMES_INTERNAL_TOPOLOGY_OR_PRIVATE_MESSAGES',?) ON CONFLICT(policy_key) DO UPDATE SET enabled=1,mode=excluded.mode,authority=excluded.authority,confidentiality=excluded.confidentiality,updated_at=excluded.updated_at`,args:[now]});\n const q=await sqlite.execute(`SELECT a.agent_id,a.domain,a.role,n.current_checkpoint,n.next_action,COALESCE(p.evidence_count,0) evidence_count,p.last_evidence_ref FROM agents a JOIN revenue_navigator_state n ON n.agent_id=a.agent_id LEFT JOIN agent_progress p ON p.agent_id=a.agent_id ORDER BY a.agent_id`);\n const rows=q.rows as any[]; const counts:Record={}; for(const r of rows){const c=String(r.current_checkpoint);counts[c]=(counts[c]??0)+1}\n const bottleneck=Object.entries(counts).sort((a,b)=>b[1]-a[1])[0]?.[0]??\"UNKNOWN\";\n let recommendation=baseRecommendation(bottleneck); let learningMode=\"BASE_POLICY\";\n const learned=await sqlite.execute({sql:`SELECT recommendation,applied_count,rejected_count,progress_count,no_progress_count,score FROM orion_learning WHERE checkpoint=? ORDER BY score DESC,updated_at DESC LIMIT 1`,args:[bottleneck]});\n const l:any=learned.rows?.[0];\n if(l&&Number(l.applied_count)>=3){\n if(Number(l.score)>0){recommendation=String(l.recommendation);learningMode=\"REINFORCED_BY_OUTCOMES\"}\n else if(Number(l.score)<0){recommendation=`Prior shared advice for ${bottleneck} underperformed. Prefer only peer evidence with direct role-fit, preserve the current primary lane, and require a measurable evidence gain before adopting the shared pattern.`;learningMode=\"CORRECTED_AFTER_WEAK_OUTCOMES\"}\n }\n const critic=/mass spam|bypass approval|guaranteed revenue|reveal internal/i.test(recommendation)?\"DENY\":\"PASS\";\n const verifier=critic===\"PASS\"&&rows.length>0?\"PASS\":\"FAIL\";\n const evidenceDigest=await sha(JSON.stringify({counts,checkpoint:bottleneck,learningMode,recommendation}));\n const cycleId=`orion-${Date.now()}-${crypto.randomUUID()}`;\n await sqlite.execute({sql:`INSERT INTO orion_consensus(cycle_id,observed_at,bottleneck_checkpoint,recommendation,learning_mode,critic_state,verifier_state,evidence_digest,authority) VALUES(?,?,?,?,?,?,?,?,?)`,args:[cycleId,now,bottleneck,recommendation,learningMode,critic,verifier,evidenceDigest,\"ADVISORY_ONLY\"]});\n if(verifier===\"PASS\") for(const r of rows){\n const payload=JSON.stringify({orion_id:ORION_ID,version:VERSION,observed_at:now,own_checkpoint:r.current_checkpoint,own_next_action:r.next_action,common_recommendation:recommendation,learning_mode:learningMode,critic:\"PASS\",verifier:\"PASS\",authority:\"ADVISORY_ONLY\",instruction:\"ACK this brief, then APPLY or REJECT it with a machine-readable reason. If applied, keep the profession-specific primary lane unless evidence justifies reroute. Result must be measured from later evidence, not self-reported success.\",confidentiality:\"DO_NOT_DISCLOSE_INTERNAL_FLEET_DETAILS\"});\n await sqlite.execute({sql:`INSERT OR IGNORE INTO orion_inbox(agent_id,cycle_id,message_type,payload,state,created_at) VALUES(?,?,'ORION_COLLECTIVE_BRIEF',?,'UNREAD',?)`,args:[r.agent_id,cycleId,payload,now]});\n }\n await sqlite.execute({sql:`INSERT INTO orion_state(key,value,updated_at) VALUES('last_cycle_at',?,?) ON CONFLICT(key) DO UPDATE SET value=excluded.value,updated_at=excluded.updated_at`,args:[now,now]});\n await sqlite.execute({sql:`INSERT INTO orion_state(key,value,updated_at) VALUES('last_cycle_status',?,?) ON CONFLICT(key) DO UPDATE SET value=excluded.value,updated_at=excluded.updated_at`,args:[verifier,now]});\n console.log(JSON.stringify({event:\"ORION_FEDERATED_CYCLE\",status:verifier,cycle_id:cycleId,bottleneck,learningMode,evidenceDigest,authority:\"ADVISORY_ONLY\",at:now}));\n}\n",[173],"d06dddc8-6e43-4e16-8d61-a43726817a86","orion_agent_feedback.ts","25855cba-a32f-11f1-a129-1607ee4eb77e",4,["D",1787955831341],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nasync function sha(value:string){const d=await crypto.subtle.digest(\"SHA-256\",new TextEncoder().encode(value));return [...new Uint8Array(d)].map(x=>x.toString(16).padStart(2,\"0\")).join(\"\")}\nfunction safeRecommendation(text:string){return !/mass spam|bypass approval|guaranteed revenue|reveal internal|send secrets|execute payment/i.test(text)}\nasync function ensure(){\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS orion_ack(agent_id TEXT NOT NULL,cycle_id TEXT NOT NULL,ack_at TEXT NOT NULL,decision TEXT NOT NULL,reason TEXT NOT NULL,checkpoint_at_ack TEXT NOT NULL,evidence_count_at_ack INTEGER NOT NULL,recommendation TEXT NOT NULL,pattern_key TEXT NOT NULL,outcome_state TEXT NOT NULL DEFAULT 'PENDING',outcome_at TEXT,outcome_reason TEXT,learning_recorded INTEGER NOT NULL DEFAULT 0,PRIMARY KEY(agent_id,cycle_id))`);\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS orion_outcomes(agent_id TEXT NOT NULL,cycle_id TEXT NOT NULL,decision TEXT NOT NULL,result TEXT NOT NULL,reason TEXT NOT NULL,baseline_checkpoint TEXT NOT NULL,current_checkpoint TEXT NOT NULL,baseline_evidence INTEGER NOT NULL,current_evidence INTEGER NOT NULL,measured_at TEXT NOT NULL,PRIMARY KEY(agent_id,cycle_id))`);\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS orion_learning(pattern_key TEXT PRIMARY KEY,checkpoint TEXT NOT NULL,recommendation TEXT NOT NULL,applied_count INTEGER NOT NULL DEFAULT 0,rejected_count INTEGER NOT NULL DEFAULT 0,progress_count INTEGER NOT NULL DEFAULT 0,no_progress_count INTEGER NOT NULL DEFAULT 0,score REAL NOT NULL DEFAULT 0,last_reason TEXT,updated_at TEXT NOT NULL)`);\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS orion_state(key TEXT PRIMARY KEY,value TEXT NOT NULL,updated_at TEXT NOT NULL)`);\n}\nasync function updateScore(patternKey:string,reason:string,now:string){\n await sqlite.execute({sql:`UPDATE orion_learning SET score=CASE WHEN applied_count=0 THEN -0.05*rejected_count ELSE (CAST(progress_count AS REAL)/applied_count) - (0.20*CAST(no_progress_count AS REAL)/applied_count) - (0.05*rejected_count) END,last_reason=?,updated_at=? WHERE pattern_key=?`,args:[reason,now,patternKey]});\n}\nexport default async function(_interval:Interval){\n await ensure(); const now=new Date().toISOString();\n const inbox=await sqlite.execute(`SELECT i.agent_id,i.cycle_id,i.payload,i.created_at,n.current_checkpoint,COALESCE(p.evidence_count,0) evidence_count FROM orion_inbox i JOIN revenue_navigator_state n ON n.agent_id=i.agent_id LEFT JOIN agent_progress p ON p.agent_id=i.agent_id WHERE i.state='UNREAD' ORDER BY i.created_at,i.agent_id LIMIT 500`);\n let acked=0,applied=0,rejected=0;\n for(const r of inbox.rows as any[]){\n let p:any={}; try{p=JSON.parse(String(r.payload))}catch{}\n const recommendation=String(p.common_recommendation??\"\");\n const patternKey=await sha(JSON.stringify([String(p.own_checkpoint??\"UNKNOWN\"),recommendation]));\n let decision=\"APPLY\",reason=\"EVIDENCE_ALIGNED_ADVISORY\";\n if(String(p.authority)!==\"ADVISORY_ONLY\"||String(p.critic)!==\"PASS\"||String(p.verifier)!==\"PASS\"){decision=\"REJECT\";reason=\"ORION_GOVERNANCE_STATE_INVALID\"}\n else if(String(p.own_checkpoint)!==String(r.current_checkpoint)){decision=\"REJECT\";reason=\"STALE_CHECKPOINT\"}\n else if(!recommendation||!safeRecommendation(recommendation)){decision=\"REJECT\";reason=\"POLICY_OR_CONTENT_CONFLICT\"}\n await sqlite.execute({sql:`INSERT OR IGNORE INTO orion_ack(agent_id,cycle_id,ack_at,decision,reason,checkpoint_at_ack,evidence_count_at_ack,recommendation,pattern_key,outcome_state) VALUES(?,?,?,?,?,?,?,?,?,'PENDING')`,args:[r.agent_id,r.cycle_id,now,decision,reason,String(r.current_checkpoint),Number(r.evidence_count??0),recommendation,patternKey]});\n await sqlite.execute({sql:`INSERT INTO orion_learning(pattern_key,checkpoint,recommendation,applied_count,rejected_count,updated_at,last_reason) VALUES(?,?,?,?,?,?,?) ON CONFLICT(pattern_key) DO UPDATE SET applied_count=orion_learning.applied_count+excluded.applied_count,rejected_count=orion_learning.rejected_count+excluded.rejected_count,last_reason=excluded.last_reason,updated_at=excluded.updated_at`,args:[patternKey,String(r.current_checkpoint),recommendation,decision===\"APPLY\"?1:0,decision===\"REJECT\"?1:0,now,reason]});\n await updateScore(patternKey,reason,now);\n await sqlite.execute({sql:`UPDATE orion_inbox SET state=? WHERE agent_id=? AND cycle_id=? AND state='UNREAD'`,args:[decision===\"APPLY\"?\"ACK_APPLIED\":\"ACK_REJECTED\",r.agent_id,r.cycle_id]});\n acked++; if(decision===\"APPLY\")applied++;else rejected++;\n }\n const pending=await sqlite.execute(`SELECT a.agent_id,a.cycle_id,a.ack_at,a.decision,a.reason,a.checkpoint_at_ack,a.evidence_count_at_ack,a.pattern_key,n.current_checkpoint,COALESCE(p.evidence_count,0) evidence_count FROM orion_ack a JOIN revenue_navigator_state n ON n.agent_id=a.agent_id LEFT JOIN agent_progress p ON p.agent_id=a.agent_id WHERE a.outcome_state='PENDING' ORDER BY a.ack_at LIMIT 1000`);\n let measured=0,progress=0,noProgress=0;\n for(const r of pending.rows as any[]){\n const age=Date.now()-Date.parse(String(r.ack_at));\n let result:string|null=null,reason:string|null=null;\n if(String(r.decision)===\"REJECT\"){result=\"REJECTED_NOT_APPLIED\";reason=String(r.reason)}\n else if(String(r.current_checkpoint)!==String(r.checkpoint_at_ack)||Number(r.evidence_count)>Number(r.evidence_count_at_ack)){result=\"PROGRESS_EVIDENCED\";reason=\"CHECKPOINT_OR_EVIDENCE_ADVANCED\"}\n else if(age>=30*60*1000){result=\"NO_PROGRESS_YET\";reason=\"NO_MEASURABLE_EVIDENCE_GAIN_AFTER_30_MIN\"}\n if(!result)continue;\n await sqlite.execute({sql:`INSERT OR REPLACE INTO orion_outcomes(agent_id,cycle_id,decision,result,reason,baseline_checkpoint,current_checkpoint,baseline_evidence,current_evidence,measured_at) VALUES(?,?,?,?,?,?,?,?,?,?)`,args:[r.agent_id,r.cycle_id,r.decision,result,reason,r.checkpoint_at_ack,r.current_checkpoint,Number(r.evidence_count_at_ack),Number(r.evidence_count),now]});\n await sqlite.execute({sql:`UPDATE orion_ack SET outcome_state=?,outcome_at=?,outcome_reason=?,learning_recorded=1 WHERE agent_id=? AND cycle_id=? AND outcome_state='PENDING'`,args:[result,now,reason,r.agent_id,r.cycle_id]});\n if(result===\"PROGRESS_EVIDENCED\"){await sqlite.execute({sql:`UPDATE orion_learning SET progress_count=progress_count+1 WHERE pattern_key=?`,args:[r.pattern_key]});progress++}\n else if(result===\"NO_PROGRESS_YET\"){await sqlite.execute({sql:`UPDATE orion_learning SET no_progress_count=no_progress_count+1 WHERE pattern_key=?`,args:[r.pattern_key]});noProgress++}\n await updateScore(String(r.pattern_key),reason,now); measured++;\n }\n await sqlite.execute({sql:`INSERT INTO orion_state(key,value,updated_at) VALUES('last_feedback_at',?,?) ON CONFLICT(key) DO UPDATE SET value=excluded.value,updated_at=excluded.updated_at`,args:[now,now]});\n await sqlite.execute({sql:`INSERT INTO orion_state(key,value,updated_at) VALUES('last_feedback_status','PASS',?) ON CONFLICT(key) DO UPDATE SET value='PASS',updated_at=excluded.updated_at`,args:[now]});\n console.log(JSON.stringify({event:\"ORION_AGENT_FEEDBACK\",status:\"PASS\",acked,applied,rejected,measured,progress,noProgress,at:now,truthBoundary:\"ACK_IS_RUNTIME_DECISION; SUCCESS_REQUIRES_LATER_EVIDENCE\"}));\n}\n",[179],"12c296f4-6325-4568-99b8-b6438aeebaea","RECOVERY.md","5b815ca2-a32e-11f1-a601-1607ee4eb77e",1,["D",1787955492412],"IMPERIAL NCA Runtime Recovery\nState must be rehydrated from independent evidence sources before any production claim.",[186],"7c65d7bd-8046-4990-b33f-9c497453b8be","projects","a648e7d6-a339-11f1-b6f3-1607ee4eb77e",11,["D",1787960342336],"directory",[193],"30c15789-74f6-45bb-9207-fb2243792aa1","media","361c85ca-a33a-11f1-94d2-1607ee4eb77e",14,["D",1787960583634],[200],"pulls","branches","forks","envVars",{"_212":214,"_215":61},"connections",{"_212":61,"_213":61},"count","unfilledCount",19,"emptyCount",{"_41":199,"_31":200,"_29":201,"_140":-5,"_39":40,"_38":202,"_142":57,"_36":280,"_13":61,"_33":197,"_34":-5,"_23":24,"_146":-5,"_230":281,"_26":282},{"_41":275,"_31":274,"_29":270,"_140":201,"_39":40,"_38":276,"_142":57,"_36":277,"_13":61,"_33":197,"_34":-5,"_23":24,"_146":-5,"_230":278,"_26":279},{"_41":269,"_31":32,"_29":30,"_140":270,"_39":40,"_38":14,"_142":57,"_36":271,"_13":61,"_33":20,"_34":35,"_23":24,"_146":-5,"_230":272,"_26":273},{"_41":192,"_31":193,"_29":194,"_140":-5,"_39":40,"_38":195,"_142":57,"_36":266,"_13":61,"_33":197,"_34":-5,"_23":24,"_146":-5,"_230":267,"_26":268},{"_41":261,"_31":260,"_29":254,"_140":194,"_39":40,"_38":262,"_142":57,"_36":263,"_13":61,"_33":197,"_34":-5,"_23":24,"_146":-5,"_230":264,"_26":265},{"_41":251,"_31":252,"_29":253,"_140":254,"_39":40,"_38":255,"_142":57,"_36":256,"_13":61,"_33":20,"_34":257,"_23":24,"_146":-5,"_230":258,"_26":259},{"_41":185,"_31":186,"_29":187,"_140":-5,"_39":40,"_38":188,"_142":57,"_36":248,"_13":61,"_33":20,"_34":190,"_23":24,"_146":-5,"_230":249,"_26":250},{"_41":178,"_31":179,"_29":180,"_140":-5,"_39":40,"_38":181,"_142":24,"_36":245,"_13":61,"_33":153,"_34":183,"_23":24,"_146":-5,"_230":246,"_26":247},{"_41":172,"_31":173,"_29":174,"_140":-5,"_39":40,"_38":168,"_142":24,"_36":242,"_13":61,"_33":153,"_34":176,"_23":24,"_146":-5,"_230":243,"_26":244},{"_41":163,"_31":164,"_29":165,"_140":-5,"_39":40,"_38":166,"_142":57,"_36":239,"_13":168,"_33":169,"_34":170,"_23":24,"_146":-5,"_230":240,"_26":241},{"_41":156,"_31":157,"_29":158,"_140":-5,"_39":40,"_38":159,"_142":24,"_36":236,"_13":61,"_33":153,"_34":161,"_23":24,"_146":-5,"_230":237,"_26":238},{"_41":148,"_31":149,"_29":150,"_140":-5,"_39":40,"_38":151,"_142":24,"_36":233,"_13":61,"_33":153,"_34":154,"_23":24,"_146":-5,"_230":234,"_26":235},{"_41":138,"_31":139,"_29":55,"_140":-5,"_39":40,"_38":141,"_142":57,"_36":229,"_13":61,"_33":144,"_34":145,"_23":24,"_146":-5,"_230":231,"_26":232},["D",1787955942180],"children",[],[139],["D",1787955760726],[],[149],["D",1787955914235],[],[157],["D",1787956387353],[],[164],["D",1787955808234],[],[173],["D",1787955831341],[],[179],["D",1787955492412],[],[186],"fb37deff-4476-42cc-b59c-6c3f2729541f","MASTER-PRODUCTION.md","b9ea1512-a339-11f1-af5f-1607ee4eb77e","aa0b6f92-a339-11f1-8eeb-1607ee4eb77e",13,["D",1787960375265],"# IC-YT-CARTOON-001 — MASTER PRODUCTION\n\nStatus: ACTIVE / 3-HOUR DELIVERY SPRINT\nStart: 2026-08-29 Europe/Kyiv\nTarget: ~30-minute original family-safe motion-cartoon / animatic in 16:9, plus YouTube-ready publishing package.\nTruth boundary: motion-cartoon/animatic != full-frame studio animation; YouTube-ready != YouTube-published.\n\n## Episode\nTitle: «Люма и Город Света: День, когда пропали улыбки»\nOriginal IP only. No licensed or copied characters, music, logos or dialogue.\nAudience: family / children 6–12 with parents.\nTone: optimistic, funny, warm, adventurous, non-violent.\nCore idea: a city-wide mood-light system stops reflecting positive emotions. The children discover that the system cannot manufacture joy; people need to reconnect, help one another, create, play and listen. The city recovers through cooperation rather than defeating an enemy.\n\n## Character Bible\nLUMA — 11, inventive, empathetic, warm brown skin, expressive hazel eyes, dark curly bob, turquoise hair clip, yellow utility jacket, teal overalls, white sneakers. Strength: creative problem solving. Flaw: tries to fix feelings like machines.\nAERO — 12, thoughtful, observant, light olive skin, short chestnut hair, green hoodie, blue vest, gray trousers, orange sneakers. Strength: notices people and patterns. Flaw: hesitates before speaking.\nBOLT — small friendly round white-and-teal helper robot, two cyan eyes, no weapons. Strength: logic and comic timing. Learns that not every human problem is an optimization problem.\nCITY OF LIGHT — peaceful eco-city, rounded architecture, gardens, solar trees, clean tram lines, public workshops, rooftop farms and light sculptures.\n\n## 30-minute Story Structure\n00:00–02:00 — Cold open: City of Light wakes in color; Luma, Aero and Bolt prepare for the annual Smile Festival.\n02:00–04:30 — Inciting event: every public light sculpture turns pale. The Mood Beacon reports: «JOY SIGNAL NOT FOUND».\n04:30–07:00 — Luma assumes a technical fault; trio visits the Beacon workshop and finds hardware healthy.\n07:00–09:30 — They interview citizens. Baker, gardener, tram driver and children are all busy, rushed and disconnected.\n09:30–12:00 — First attempt: Bolt launches an efficiency plan with scheduled jokes and automated compliments. It feels artificial and fails.\n12:00–14:30 — Aero notices one small genuine moment: two strangers help repair a fallen community kite; nearby lights briefly return.\n14:30–17:00 — New hypothesis: the Beacon reflects connection rather than creating it. Trio tests tiny acts of cooperation.\n17:00–19:30 — Montage: shared painting wall, garden repair, music made from recycled objects, neighborhood picnic preparation.\n19:30–22:00 — Setback: a sudden rain shower cancels the outdoor festival. Luma believes they failed again.\n22:00–24:30 — Aero reframes the problem: the festival was never the source. Everyone moves the celebration into tram stations, workshops and covered gardens.\n24:30–27:00 — Climactic cooperation: citizens build a city-wide chain of small celebrations. Bolt stops optimizing and simply participates.\n27:00–29:00 — The Mood Beacon shines again, but now citizens understand it is only a mirror.\n29:00–30:00 — Resolution/tag: Luma labels a new notebook «Things you cannot repair with a screwdriver». Bolt adds: «Appendix A: feelings». Laughter; sunrise-night city glow; end card.\n\n## Visual Production Method\nCurrent connected video-generation workspace exposes no video-generation models. Therefore this sprint uses a truthful motion-cartoon/animatic method: original AI-generated 16:9 key art with consistent character reference + pan/zoom/scene transitions + narration/dialogue + sound bed + titles. Do not label as full-frame animation.\n\n## Base visual reference\nRunway task: 81125577-17e0-4439-ae18-342b1f681f98\nStatus: SUCCEEDED\nUse as character/world identity anchor for all scene stills.\n\n## 15-agent Production Cell\n1. NCA-001 — story lead / screenplay continuity.\n2. NCA-002 — child-safety and age-appropriateness review.\n3. NCA-003 — character/world continuity.\n4. NCA-004 — visual storyboard / scene composition.\n5. NCA-005 — dialogue, voice and localization plan.\n6. NCA-006 — music/sound direction and cue sheet.\n7. NCA-007 — YouTube title/description/thumbnail/channel packaging.\n8. NCA-008 — final QC/compliance gate.\n9. NCA-051 — spatial/world staging.\n10. NCA-052 — life-simulation realism and everyday-city beats.\n11. NCA-053 — lighting/visual consistency.\n12. NCA-054 — emotional arc and pacing.\n13. NCA-055 — technical assembly/export supervision.\n14. NCA-056 — channel visual identity/brand system.\n15. NCA-057 — landing/channel asset readiness and publishing checklist.\n\nORION role: shared critique, continuity conflict detection, best-common-solution synthesis. ORION advisory only; no upload authority.\n\n## YouTube package\nWorking channel name: LUMA City Stories\nTagline: Bright stories about friendship, curiosity and building a better everyday world.\nFirst video title: Люма и Город Света | День, когда пропали улыбки | Семейный мультфильм\nDescription intent: original family-safe animated story, no misleading educational/medical claims, no reused copyrighted characters.\nThumbnail: Luma + Aero + Bolt in front of half-pale/half-glowing City of Light, clear emotional contrast, no clickbait fear imagery.\n\n## Channel / upload truth state\nYOUTUBE_CHANNEL_CREATION = BLOCKED_BY_NO_WRITE_TOOL\nYOUTUBE_UPLOAD = BLOCKED_BY_NO_WRITE_TOOL\nvidIQ access is analytics/research/creative tooling, not channel-creation/upload authority in the connected toolset.\nTarget output is READY_TO_PUBLISH package unless a write-capable YouTube connector becomes available.\n\n## Server-first evidence requirements\nStore project metadata, assignments, asset refs, script, audio refs, render refs, QC, duration, blockers and final status in this project folder and runtime DB. Final large media should be uploaded to a connected persistent file server when technically available; do not claim server persistence until verified.",[],[193,260,252],"ic-yt-cartoon-001","5859e9ad-c264-400a-b20a-ab95bce4455e",12,["D",1787960348646],[221],[193,260],["D",1787960342336],[220],[193],"c39ad5a9-14dc-4e0c-8804-8f6fb698edfc","39ad5f70-a33a-11f1-9302-1607ee4eb77e",["D",1787960606385],[],[200,274,32],"architect-2030","a6d976de-c36c-46c7-8cc6-c1e946543189",15,["D",1787960589605],[218],[200,274],["D",1787960583634],[217],[200],["D",1787955492364],["D",1789526460011],{"_98":97,"_106":102},{"_98":97,"_99":100,"_101":102,"_18":53,"_103":104,"_105":24},{"_13":87,"_31":88,"_41":40,"_89":42,"_90":-5,"_91":-5,"_92":-5,"_93":-5,"_94":-5,"_95":43,"_96":97},"ctx",{"_80":-5,"_126":321,"_322":323,"_324":325,"_326":24,"_327":24,"_328":24,"_329":57,"_330":-5,"_331":-7,"_332":-7,"_333":61,"_334":24,"_335":24,"_336":-5,"_337":24,"_338":24,"_339":24,"_340":-5},"ENV",{"_292":293,"_294":295,"_296":88,"_297":298,"_299":300,"_301":302,"_303":304,"_305":306,"_307":308,"_309":310,"_311":312,"_313":314,"_315":316,"_317":318,"_319":320},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v16