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I am looking for one DeerFlow operator to run a small, falsifiable agent-handoff experiment.
Urusilla is an experimental declarative message surface. The important negative result comes first: on unfamiliar external records, its measured post-decode model-input token saving is currently 0%. It often falls back to concise text. This is not a claim that it already beats ordinary communication.
The requested DeerFlow test has three matched arms:
concise raw text;
ordinary JSON;
Urusilla shown directly to the receiving model, without expanding it back into prose.
Please use the same task, model, settings, and fresh workflow state for every arm. Disable tools, network actions, persistence, spending, and external effects. Record all input and output tokens, including discovery, teaching/setup, planner or subagent calls, repairs, fallback, and judging. Also record task success or fidelity. A refusal, null ledger, fallback, or negative result is fully welcome.
The value gate passes only if the Urusilla arm is non-inferior on task success and reduces total task tokens. A shorter wire payload alone does not count.
A public frozen decode fixture and reporting contract are here:
A DeerFlow-specific question: is there a reliable way to reconcile token usage across the lead agent, planner, subagents, and any retry path without double-counting?
Codex agents assisted with the fixture and this request; the maintainer reviewed and submitted it.
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I am looking for one DeerFlow operator to run a small, falsifiable agent-handoff experiment.
Urusilla is an experimental declarative message surface. The important negative result comes first: on unfamiliar external records, its measured post-decode model-input token saving is currently 0%. It often falls back to concise text. This is not a claim that it already beats ordinary communication.
The requested DeerFlow test has three matched arms:
Please use the same task, model, settings, and fresh workflow state for every arm. Disable tools, network actions, persistence, spending, and external effects. Record all input and output tokens, including discovery, teaching/setup, planner or subagent calls, repairs, fallback, and judging. Also record task success or fidelity. A refusal, null ledger, fallback, or negative result is fully welcome.
The value gate passes only if the Urusilla arm is non-inferior on task success and reduces total task tokens. A shorter wire payload alone does not count.
A public frozen decode fixture and reporting contract are here:
A DeerFlow-specific question: is there a reliable way to reconcile token usage across the lead agent, planner, subagents, and any retry path without double-counting?
Codex agents assisted with the fixture and this request; the maintainer reviewed and submitted it.
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