Welcome to Esy Research

I’m Zev, a software engineer building Esy (Eh-see) — a workflow-driven AI platform that turns intent into finished, publishable artifacts.

Esy replaces open-ended prompting with structured templates and orchestrated workflows:

Template → Intake → Orchestration → Artifact → Quality Assurance.

Esy Research documents how these workflows get designed — the decisions, tradeoffs, and techniques behind building AI systems that produce reliable, citation-backed outputs.

If you subscribe, you’ll see depth around:

• Intent capture — designing intakes that make goals explicit before execution

• Context engineering — constraining information and action space for better results

• Workflow orchestration — composing research, drafting, and QA into coherent pipelines

• Artifact evaluation — measuring outputs against original intent

• Quality assurance — secondary passes for refinement and rigor

Everything here reflects real decisions and tradeoffs, not theory.

Videos are shared on YouTube at @EsyResearch.

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Esy Research is technical.
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