Production-grade agent reliability is increasingly achieved through 'engineered

Production-grade agent reliability is increasingly achieved through ‘engineered harnesses’ that combine autonomous models with deterministic tools, formal verification, and strict governance architectures.

CatDT demonstrates that in high-stakes scientific simulations, the performance bottleneck is the robust orchestration of tools rather than the LLM itself.
The ‘Queen-Bee’ architecture provides a governed enterprise orchestration model that separates control (Queen) from constrained execution (Bee).
Lean4Agent and LeanMarathon utilize formal methods and CI-gated transactions to verify agent trajectories and maintain task fidelity over long horizons.

The focus of AI development is shifting from ‘autonomous’ agents toward ‘constrained’ agents that operate within a verifiable software harness.
Software engineering principles like state machines, formal verification, and circuit breakers are becoming foundational to agentic workflows.

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