COMMAND INSTINCT
OFAC FEED · 2026-09-02
Node-level compliance execution · Venezuela proving ground

Does this shipment clear this license right now?

Incumbents map your supply chain and raise an alert. Command Instinct resolves the specific shipment at the transit node — the correct per-license test, the pass/fail, and if it fails, the compliant substitute that moves instead.

License-delta monitor

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Rulebook history

Signature capability

Routing verdict engine

Describe a shipment. The engine selects the correct China-exclusion test for the governing license, checks the authorized party, contract venue, joint venture structure, diluent partition, payment channel and vessel status, and returns a ranked execution matrix. The verdict logic is the real per-license standard, not a demo stub. The panel beside it meters each decision on our RTX 4080 node: a local model writes the verdict's audit memo, and the panel shows the energy that work drew from the GPU.

◐ Shipment input
Screened against the OFAC SDN vessel list, refreshed each weekday.
awaiting shipment input_
⚡ HIL energy node
19.8W idle
This inference
0.000 Wh
Per 1k tokens
— Wh
Peak draw
— W
CO₂ (marginal)
— g
Sample representative RTX 4080 curve
Why a single screen fails

The two-tier China standard

Under the August and September 2026 licenses the PRC exclusion takes two forms, and neither is an origin test alone. A screen that only checks component nationality under-blocks both: a PRC-owned distributor shipping non-Chinese parts is barred under every categorical license, and under the nexus licenses wherever it is a Venezuelan or U.S. entity. It also over-blocks the nexus licenses, where PRC origin by itself is not a trigger. The engine branches on which test the governing license actually applies.

● Categorical bar: origin and ownership
GL 48D · 49B · 50C · 54C · 55A · 61A

Any PRC person is barred outright, and so is any entity, wherever organized, that a PRC person owns, controls or shares a JV with. Origin screening catches the first half. Ownership tracing is needed for the second.

◐ Nexus bar: ownership only
GL 46E · 51D · 52C

PRC origin is not a trigger. Barred only where a Venezuelan- or U.S.-organized entity is owned, controlled by, or in a JV with a PRC person. Requires beneficial-ownership data, not a bill of materials.

GL 47B (diluents) bars neither China nor Russia — the narrowest screen of the set, and the only lane diluents may legally travel.

The market gap · why now

The ownership data to run the 50% rule just disappeared

Both China tests above turn on who ultimately owns a supplier — OFAC's 50% rule, counting direct and indirect ownership together. In August 2026 the one U.S. government registry that could answer that was permanently shut down for U.S. companies. The requirement stayed; the data left.

▲ Problem — the ownership registry is gone
Aug 11 2026 · FinCEN final rule

FinCEN permanently eliminated beneficial-ownership (BOI) reporting for U.S. companies and will delete the records already filed. The EU's public ownership registers were restricted by court order back in 2022. No public dataset now resolves layered ownership for the 50% rule — exactly the data both China tests need.

● Solution — the ownership layer is the product
Command Instinct nexus engine · in development

The engine is being built to trace the ownership graph layer by layer, the way OFAC does: once blocked persons own 50% or more of an entity, that entity is blocked and its own stakes count in full at the next layer, aggregated across paths. That is the capability the vanished registry can no longer provide. In this prototype, ownership is entered by hand in the form above; verified ownership data will plug in from a specialist source (Sayari, Kharon) behind it.

Source: U.S. Treasury / FinCEN final rule of Aug 11, 2026 (BOI reporting eliminated for U.S. companies). Decision-support, not legal advice.

AI energy · the second market

Every verdict metered in watt-hours

Power is now a binding constraint on AI. Each verdict on this page runs real work on our RTX 4080 node: a local language model writes the audit memo, and the node meters that work from the GPU itself, in watt-hours per verdict, per thousand tokens and peak draw. CO₂ uses a sample grid factor until a live marginal emissions feed is connected. When the node is offline, the panel shows a representative curve, labelled Sample.

● Energy per decision
HIL energy node · NVML · idle-subtracted

Each verdict records what it cost to compute, so a compliance team running thousands of shipment checks sees the energy of its own AI decision by decision, not as one line on a cloud invoice.

● The data center supply chain
Transformers · turbines · switchgear · chips · critical minerals

The power behind AI data centers runs through equipment and minerals with the same exposure this engine already resolves: who owns the supplier, where the part came from, and whether a listed party sits in the chain. Small modular reactors follow the same path.

When the panel badge reads LIVE, the readings are measured on our GPU node for the verdict you just ran. When it reads Sample, the node is offline and the curve is representative.

Research demo · not for profit

Energy per decision on Valorant rounds

Does a small AI model on our GPU call the winner of a Valorant round better than a simple rule, and what does each call cost in energy? Take a round from a real ranked match. The model on our RTX 4080 node calls it, answering directly or reasoning first, and the node meters that work the same way it meters the verdicts above.

Round ·checking the GPU node…
TeamSideRounds wonLoadoutBanked
Blue····
Red····
The model sees only what the table shows.
Benchmark · 1,067 rounds
Who calls itRightWh per call
Rule: bigger buy wins60%none
qwen2.5 3B54%0.0008
qwen2.5 14B55%0.0030
qwen2.5 3B, reasoning54%0.0117
qwen2.5 14B, reasoning59%0.0450

50 recent NA ranked matches, Oct 28, 2026. The 3B used about 74% less energy than the 14B for the same accuracy. Reasoning first cost about 15 times the energy: the 3B gained nothing, and the 14B rose from 55% to 59%, still short of the rule. Measured on the RTX 4080 node: GPU board power every 100 ms, idle subtracted, 1,067 calls back to back. A single live call reads higher, since the node keeps its meter open 0.6 s after each call to catch the GPU's reading lag.

Accuracy against energy per call · 1,067 rounds

Each dot is a model's share of rounds called right, with its 95% range; the shaded band is the rule's. Energy is measured per call on our RTX 4080 node, on a log scale: a 14B reasoning call uses about 56 times the energy of a direct 3B call. The table above has the same numbers.

Same test in League of Legends · 494 ranked games
Who calls itRightWh per call
Rule: team ahead in gold wins77%none
qwen2.5 3B73%0.0008
qwen2.5 14B77%0.0035
qwen2.5 3B, reasoning50%0.0116
qwen2.5 14B, reasoning76%0.0410

The question: from a ranked game's state at 15:00 (gold, kills, towers, dragons, void grubs, heralds, levels and creep score), which team wins. 500 recent NA Challenger games, Oct 29, 2026; 494 lasted past 15 minutes. The 14B only matched the gold rule, and the 3B came close for about a quarter of the energy. Reasoning first cost 12 to 14 times the energy and gained nothing; the 3B, reasoning, picked blue in 88% of games, a lean it kept even though its answer line names no color. Measured the same way as Valorant, on the same GPU.

Why the rule wins · rounds won by the team that bought more

The same 1,067 rounds, leaving out 12 with equal buys. Below 5,000 credits the bigger buyer wins about half the time; above 10,000 it wins about four rounds in five. Each dot has its 95% range: the dip at 1,000 to 2,500 credits is in the data, but its range is wide.

Who plays efficiently · Valorant Radiant
Valorant Radiant, wins this actPlayersMedian ratingRating per winHours played, est.GPU energy, est.Rating per kWh
10 to 226033220.2181.1 kWh299
22 to 316132913.2271.7 kWh194
31 to 40603289.5382.4 kWh139
40 to 55613487.7483.0 kWh116
55 to 164614175.7724.5 kWh92

Oct 29, 2026, NA. Valorant: all 303 Radiant players this act, in five groups by wins; hours are estimated from wins at an assumed 55% win rate and the 34 minute median of 30 recent ranked matches. GPU energy is those hours times 63 W, the average our RTX 4080 laptop GPU drew over one 28 minute Competitive match: GPU only, not the whole PC or monitor, and one machine, so an estimate for anyone else. The lightest Radiant group gets about three times the rating per kWh of the heaviest. Groups only: no player is named.

Research demo, not for profit and not part of any product. Match data comes from the Riot Games API as team totals from recent ranked matches (per round in Valorant, at 15 minutes in League of Legends), with no player data. This demo isn't endorsed by Riot Games and doesn't reflect the views or opinions of Riot Games or anyone officially involved in producing or managing Riot Games properties. Riot Games, and all associated properties are trademarks or registered trademarks of Riot Games, Inc.

Positioning

Map versus move

Exiger, Interos, and Altana answer “is there risk somewhere in my chain?” Command Instinct answers “does this shipment clear this license right now, and if not, what moves instead?” Complementary altitude, not a competing one.

01 / execution

Decision at the node

A deterministic routing decision at the transit hub — substitute part, hub location, freight capacity, revised transit time — where incumbents stop at a warning.

02 / dual-axis

Regulatory + cyber-provenance

The same node flags sanctioned components and compromised or untrusted-OEM hardware — the second axis that closed-loop telecom routing depends on.

03 / per-license

The exact test, every time

Categorical vs nexus China test, the established U.S. entity gate, dispute venue, new JV bars, diluent partition, FGDF payment channel and reporting cadence. Encoded from the license text, not approximated.