Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery

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Posted on Wed May 27 2026 | 2:34 pm

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent frameworks. He explains how to combine deterministic software guardrails with agentic discovery, optimize agent hierarchies, leverage time-series foundation models, and implement rigorous evaluation pyramids to ensure architecture scales effectively in production.

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