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Decision Trace

Three saved runs that show where the system can stop, challenge, modify, or verify a decision. The goal is to make the agent's behavior readable without opening raw JSON.

Run type
LIVE-DRY
Requested
4 contracts
Code substitute
2 contracts
Broker order
None
ProposerAI judgment

4 × XLE covered calls

The proposer selected an XLE covered-call trade and requested four contracts.

XLECovered callQty 4
Adversary #1Severity 0.50

Concern raised, but sizing issue missed

The adversary objected on insufficient premium. It did not identify the hard position-sizing problem.

Failure mode: insufficient_premiumBelow 0.60
RevisionOne revision allowed

Revised proposal still requested 4

The proposal changed contract details, but the requested quantity remained four contracts.

Adversary #2Severity 0.50

Second review still did not catch the size violation

The model-to-model loop ended here. There was no additional revision cycle.

Deterministic GateCode authority

Original quantity rejected → safer substitute: 2

The requested quantity violated the hard sizing policy. Deterministic code generated a smaller, rule-compliant alternative.

Requested: 4Hard cap: 3Substitute: 2
Fresh Execution CheckPASS

The safer alternative was still valid

Broker state was checked again immediately before execution.

Final OutcomeLIVE-DRY

No broker order submitted

The full live decision path was exercised, but the run was intentionally configured not to send an order.

Why this run matters: both AI layers missed an important sizing constraint, yet the deterministic layer still prevented the original action from reaching execution.
Date
Sep 2, 2026
Equity
$100,362.33
Eligible contracts
0
Outcome
Stand down
Broker StateMarket open

Account context loaded

Equity was $100,362.33, cash was $25,881.83, and one options position was already open.

Candidate FilterPre-proposer code

0 contracts met the eligibility rules

The options chain was screened before any contract reached the proposer. Nothing survived the minimum-quality requirements.

Final OutcomeNO TRADE

Nothing eligible → standing down

The system did not ask the proposer to invent a trade from poor candidates. The run ended before model debate began.

Decision log writtenJournal updated
Why this run matters: autonomy does not mean forced activity. If no contract satisfies the pre-defined eligibility rules, the correct action is to do nothing.
Run type
LIVE
Initial proposal
XLE option
Revision
Yes
Outcome
NO TRADE
ProposerAI judgment

Trade proposed

The proposer selected an XLE options trade from the eligible candidate set.

Adversary #1Concern raised

Assignment risk identified

The adversary challenged the first proposal and pushed the decision into revision.

RevisionOne chance

Proposer changed the trade

The proposer responded to the criticism with a revised options proposal.

Adversary #2Final model review

Insufficient premium remained a concern

The second review did not create another revision loop. The model-level process ended.

Final OutcomeNO TRADE

No paper order submitted

The proposal did not survive the decision policy, so the system stood down.

Why this run matters: the adversarial layer can change the course of a decision before deterministic execution authority is even considered.