New evidence arrives
A project post, disclosure or social claim enters through a source-aware ingestion layer.
A focused financial-agent builder where Living Brain retrieves dated evidence, Jev interprets how new information relates to the saved thesis, and deterministic policy controls every financial action.
Market indicators can be identical while the underlying story is materially different. A repost may look like a fresh catalyst unless the agent can retrieve the original announcement and its later withdrawal. Static rules are essential, but cannot reliably interpret paraphrased, conflicting source history.
A project post, disclosure or social claim enters through a source-aware ingestion layer.
Living Brain returns the thesis and records available before the decision—never future evidence.
Jev determines the relationship: supported, contradicted, repeated or unclear.
Code permits, blocks or routes for review. The model never signs or sizes a transaction.
The product does not ask users to assemble a model stack. Every agent begins with the combined context layer; users customize the thesis, evidence sources, memory scope and deterministic risk limits.
The value proposition is more defensible when every responsibility is explicit.
The product teaches its value before configuration, then makes every decision inspectable after launch.
Compare Rules only with the default Jev + memory view across fresh, recycled and incomplete evidence.
Prompt the agent with a market, thesis, evidence to watch, exclusion criteria and risk limits.
Confirm Jev classifications, Living Brain retention and deterministic financial controls as separate responsibilities.
Exercise semantic scenarios and hard-rule failures. Missing history routes to review; failed liquidity skips the model call.
Package the configuration for a BNB Agent Studio runtime without connecting live signing in the prototype.
Select any chart action to inspect new evidence, point-in-time memory, Jev interpretation, policy and paper execution.
Evaluation starts with the contextual task itself. Trading performance is a separate downstream experiment.
Measure supported, contradicted, repeated and unclear classifications against rules/keyword and general-model baselines.
Track whether uncertainty routes to review, retrieved records predate decisions and every conclusion cites a source ID.
Only after semantic validation, compare results after slippage, gas and fees with leakage controls and no claim of guaranteed return.
The mockup uses synthetic evidence, prices and paper fills. No external services or wallets are connected.