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

โ— LIVE2026

A daily pipeline that pulls fixtures across eight sports, runs structured Perplexity research per fixture, has Claude synthesise constrained selections, then auto-settles results and feeds calibration back into the next day's prompt.

Stack

PythonPerplexity APIClaudeFastAPIPostgreSQLTelegram

Engineering highlights

  • Discover โ†’ research โ†’ analyse โ†’ build โ†’ settle โ†’ learn loop with a self-improving calibration step.
  • Structured LLM orchestration: per-fixture research prompts, constrained JSON outputs, and confidence/odds bounds.
  • Automated settlement and per-leg grading from a free results API, with a market-bandit + drift-detection learning layer.
Eremie Gillowei ยท Preston, UK
eremiehq.com