PizzaTipz
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.