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An LLM research-and-synthesis pipeline for multi-sport analysis.

PROJECT NOTES2026

A personal experiment in combining fixture data, Perplexity research, and Claude-generated analysis. These notes describe the pipeline design, not a verified current schedule or profitable selection service.

AI-assisted personal project. Tools and implementation notes are not claims of independent professional specialization or verified live results.

Stack

PythonPerplexity APIClaudeFastAPIPostgreSQLTelegram

Engineering highlights

  • A proposed discover โ†’ research โ†’ analyse โ†’ build โ†’ settle โ†’ evaluate loop; feedback is not evidence of improvement by itself.
  • Structured LLM orchestration: per-fixture research prompts, constrained JSON outputs, and confidence/odds bounds.
  • Settlement and per-leg grading experiments using results APIs, with calibration and drift analysis to be judged against recorded outcomes.
Eremie Gillowei ยท EremieHQ 98
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