Prompt Repetition Experiments

Session logs, scoring rubrics, and analysis outputs from three pre-registered controlled experiments (30 agent sessions, 4,306 messages) testing whether instruction repetition improves task-success rates in parallel LLM-agent pipelines. Each experiment pairs a control group (single-copy instruction) against a treatment group (repeated instruction, verbatim duplication of the delegate system prompt) under blinded binary rubric scoring. Data include per-run conversation traces (JSONL), structured delegate outputs (JSON), blind scorer justifications, group assignment maps, and token/timing metadata.