Operating a 10-agent production platform — and rebuilding it live

Fantasy football intelligence run by ten specialized AI agents: recaps, matchup analysis and league tools.

tfofantasy.com

The situation: The Front Office is a fantasy football intelligence platform where ten specialized AI agents cooperate to deliver recaps, matchup analysis, and data-driven insights against live sports data.
The constraint: Multi-agent systems fail in ways single apps don't: agents drift, data feeds hiccup on game day, and costs compound. Running one in production forces the operational discipline most AI demos never face.
Why this approach: A single monolithic model call is simpler but can't cover recaps, analysis, and data work with consistent quality. Specialized agents with defined jobs and shared context won.

What it does

Ten specialized AI agents with distinct jobs, coordinated over shared game state
Real-time sports data ingestion with game-day reliability
A full platform rebuild executed in staged waves while the product stayed up

How it’s built

Agent roles bounded tightly enough to test and monitor individually
A package-by-package modular rebuild merged in waves behind a green CI gate
Deterministic data pipeline work kept separate from AI judgment work

Multi-agent AI system · Real-time sports data feeds · CI-gated modular architecture

Where it stands

Live at tfofantasy.com. The 2026 platform rebuild was decomposed into dozens of packages and merged in sequential waves, each gated on a passing build — the same migration discipline offered to clients with legacy systems.

A production multi-agent system that survives contact with live data and real users, plus a demonstrated method for rebuilding a working platform without stopping it.

Next: Deeper per-agent quality evals, so agent regressions are caught by tests rather than by users.

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