Signal Box — AI Orchestration Engine
Coordinating AI Agents with Reliability and Consensus
Research prototype for multi-agent orchestration emphasizing consensus, reliability, and auditability.
Situation
As AI agents proliferate, orchestrating them into reliable, collaborative systems is a major challenge. Single-agent pipelines fail in correctness, resilience, and explainability.
Task
I founded Signal Box to explore multi-agent orchestration with a focus on quality-first, reality-first operation — not simulations, but real-world calls and consensus.
Action
Designed a core orchestration engine with: 5-factor confidence evaluation; Byzantine fault-tolerant team protocols; Bayesian consensus with proofs; reliability patterns (circuit breakers, adaptive timeouts). Built a modular pipeline for flexible adoption. Focused on correctness + auditability over raw speed.
Result
The result: a functioning research prototype published on GitHub/PyPI, demonstrating new paradigms for trustworthy AI orchestration and positioning as a testbed for future low-latency local models.