AIW OS Settings

Persona ยท LLM Connections ยท Multi-LLM / JARVIS ยท SEEKER Loop ยท Domain Sync ยท UI

Persona & Operational Mode

Select Active Persona โ€” 24 available

Government

Business

Healthcare

Technology

Faith

Nonprofit

Veterans

Federal

Operations

Creative

Procurement

Finance

Real Estate

Education

Default Mode

Default Risk Tier

LLM API Connections

Connect your API keys. Keys are stored in your browser only โ€” never sent to any server except the LLM provider directly.

Primary LLM (used by SEEKER Loop)

Multi-LLM Mode โ€” JARVIS Bayesian Aggregator

Multi-LLM Fan-Out

Active โ€” fanning out to 3/3 providers ยท Bayesian posterior aggregation

โ— ACTIVE

Bayesian Prior Weights โ€” auto-normalize to ฮฃ = 1.0

ฮฃ = 1.00
๐Ÿค–

GPT-5.2

Reasoning breadth ยท instruction following

40%prior
5%90%
๐Ÿง 

Claude Opus 4.7

Agentic ยท complex multi-step

38%prior
5%90%
๐Ÿ”

Sonar-Pro

Live web search ยท recency boost

22%prior
5%90%

Prior Weight Distribution

GPT-5.2 40%
Claude Opus 4.7 38%
Sonar-Pro 22%
Prior DivergenceMODERATE

ฯƒ = 0.081 ยท Some divergence โ€” Bayesian update will rebalance

Fan-Out

Parallel

Aggregation

Bayesian posterior

HITL Gate

HIGH/REG risk

Fallback

Offline SEEKER KB

Live Bayesian PreviewFires real API calls

Click "Run Test Query" to fire a live JARVIS synthesis across all 3 providers.

Configure OPENAI_API_KEY, ANTHROPIC_API_KEY, and PERPLEXITY_API_KEY as server secrets to enable live multi-LLM mode. Prior weights set here are used as Bayesian starting points โ€” the aggregator updates them at runtime based on response quality signals.

SEEKER Loop โ€” Memory & Offline Mode

Offline Mode โ€” Embedded KB Active

SEEKER Loop vv2.0 loaded in memory โ€” no internet required

Embedded Knowledge Base โ€” 7 Nodes Loaded

โ†ช

Input

  • โ–ธPersona-aware intake
  • โ–ธContext framing
  • โ–ธConstraint loading
  • โ–ธHITL trigger checklist
  • โ–ธInitial PRS estimate
C

Context

  • โ–ธPESTL scan: Political, Economic, Social, Technical, Legal
  • โ–ธRACI stakeholder mapping
  • โ–ธOrg policy injection
  • โ–ธCross-reference audit ledger
  • โ–ธConflicting constraint detection
โ–ณ

Risk

  • โ–ธPRS = (Impact ร— Probability) / Mitigation
  • โ–ธLOW: Informational
  • โ–ธMEDIUM: Advisory โ€” human review
  • โ–ธHIGH: Execution โ€” HITL mandatory
  • โ–ธREG: Regulatory โ€” legal review
  • โ–ธCMMC / SOC2 / NIST AI RMF checks
โ˜ฏ

Reason

  • โ–ธH1: Primary hypothesis
  • โ–ธH2: Alternative hypothesis
  • โ–ธH3: Edge case hypothesis
  • โ–ธPosterior = Prior ร— Likelihood / Evidence
  • โ–ธ>80% = auto-proceed, 65โ€“80% = advisory, <65% = HITL
  • โ–ธPriors updated from audit ledger
โžค

Respond

  • โ–ธASK: Guided Q&A, clarification
  • โ–ธANALYZE: Evidence synthesis, risk options
  • โ–ธJARVIS: Execution packet with RACI + HITL
  • โ–ธAll outputs include confidence score
  • โ–ธDrafts watermarked as AI-generated
โ™™

Review

  • โ–ธHITL: Human-in-the-Loop for HIGH risk
  • โ–ธHOTL: Human-on-the-Loop for MEDIUM risk
  • โ–ธRACI Accountable must approve external actions
  • โ–ธCompliance check against active policy
  • โ–ธRejection re-enters at Reason with updated priors
โ†ป

Learn

  • โ–ธSHA-256 immutable decision log
  • โ–ธPosteriors written back as new priors
  • โ–ธKB updated with approved outputs
  • โ–ธCohort sync: anonymized learnings shared
  • โ–ธDrift detection: flags >15% posterior divergence
๐Ÿ”

PG Executive Exchange โ€” Live SEEKER Loop

Real-time AI via ChatGPT ยท PG GovBridge Project

Launch

Domain Sync Matrix โ€” 14 AIW URLs

All AIW domains share the same Bayesian router, SEEKER Loop, and Zoho Analytics backend. Click any URL to open it.

UI Preferences

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