AI education • workflow clarity • practical guidance
Free business AI education / workflow literacy / practical guidance
Beyke Workflow Systems is Kyle Beyke's personal site for free business AI education, practical workflow thinking, and professional knowledge sharing.
Practical guides and analysis covering relevant issues in the AI space geared towards business needs.
A demo can prove that AI works once. It cannot prove the workflow can be trusted repeatedly. This article explains why AI evals should be treated as a management layer, not a technical afterthought, and how leaders can use them to make better funding, governance, vendor, and production decisions.
A recent IBM quantum hardware experiment improved Llama 3.1 8B in a narrow research setup, but the business lesson is more disciplined than the headline suggests. Quantum-enhanced LLMs deserve attention as a compute signal, not as a procurement trigger. Leaders should watch the evidence, compare classical alternatives, and measure workflow value before funding quantum AI claims.
Mid-market companies do not need enterprise AI bureaucracy, but scattered pilots are not a strategy. This article argues for a lean AI operating model that defines ownership, prioritization, governance, workflow integration, evaluation, and measurement before AI tools scale across the business.
The best path through this site is simple: read a guide, compare the workflow pattern to real work, and keep risk, validation, and human review visible.