TN Precision AI Command Center
RAG · Digital Twins · Blockchain Provenance · Industrial AI
00:00:00 UTCTactical Operations
Command Center Missions
Welcome to the TN Precision AI Command Center. These missions will calibrate your understanding of the deterministic digital twin and the multi-chain evidence layer.
STATUS: SIMULATION MODE ACTIVE. ALL PHYSICAL CONTROLS ARE ISOLATED.
Tutorial progress
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Mission Briefing
MISSION: COGNITIVE UPLINK
Welcome to the simulation-first command center. Your first objective is to understand the AI's boundaries.
Demonstrates advisory AI, digital twin telemetry, and hash-based provenance without physical machine control.
Execution Sequence
- 1Initialize Observer Mode
Calibrate your HUD. You are observing deterministic simulations, not live hardware.
Observe the dashboard shells. Operations are bounded strictly to the simulation and persistence layers.
- 2Observe Telemetry Ghosting
Watch how physical conditions are mirrored without exposing the actual factory floor to cyber threats.
Signals stay within the WebGL twin layer; no write-authority edge agents are executed.
Mission Briefing
MISSION: IOT MAKER ONBOARDING
Learn how to seed anomalies and safely dispatch command recommendations.
Use `/iot-maker` to validate AWS IoT / STS services and inspect Supabase event persistence.
Execution Sequence
- 1Configure the Matrix
Ensure all external integrations (AWS, Supabase, Ledgers) are green-lit before proceeding.
Validates `NEXT_PUBLIC_PROOF_MODE` and loads respective client adapters.
- 2Run Command Flow Simulation
Inject a payload, review the AI advisory, and authorize the shadow execution.
Dispatch remains simulated in 'demo' mode. Generates an evidence hash upon completion.
Mission Briefing
MISSION: PERSISTENCE LAYER
Dive into the raw event ledger to see how actions are recorded.
Utilizes Next.js Server Actions with Supabase Postgres for immutable event append logs.
Execution Sequence
- 1Query Safe Presets
Pull down the latest telemetry and active scenarios directly from the core.
REST endpoints abstract unsafe raw SQL. Requires Row-Level Security (RLS) configured.
- 2Verify Audit Trail
Check the ledger. Every anomaly and operator action leaves a fingerprint.
Queries `proof.anchors` to surface post-incident provenance trails.
Mission Briefing
MISSION: BLOCKCHAIN AUDIT TRACE
Follow an evidence hash from the local ledger directly to the public testnets.
Uses XRPL AccountSet Memos and Hedera EVM Smart Contracts to anchor deterministic SHA-256 hashes.
Execution Sequence
- 1Cryptographic Sealing
Understand that we do not broadcast live data. We only broadcast the mathematical proof.
Canonicalizes telemetry via deterministic JSON sorting before generating a SHA-256 digest.
- 2Verify On-Chain
Follow the transaction link and verify the exact hash exists in a public, immutable block.
Parses EVM events and XRPL memos to reconstruct the anchor verification externally.
Mission Briefing
MISSION: RECURSIVE EDGE MEMORY
Demonstrate Double Edge Automations where the AI learns from past runs and alters its recommendations.
Triggers scenario-22. First run generates a reflex memory. Second run queries the persistent memory loop to override standard baseline logic.
Execution Sequence
- 1Seed Initial Anomaly
Inject progressive high-frequency chatter into the twin.
The system attempts a baseline feed reduction. Operator approval seals this action into the 'Reflex Memory' index.
- 2Trigger Recursion Loop
Seed the exact same anomaly a second time to witness learning.
The advisory engine intercepts the memory of the failed feed reduction and preemptively halts the spindle instead.
Completion checklist
- MISSION: COGNITIVE UPLINK
- MISSION: IOT MAKER ONBOARDING
- MISSION: PERSISTENCE LAYER
- MISSION: BLOCKCHAIN AUDIT TRACE
- MISSION: RECURSIVE EDGE MEMORY
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