In this episode, we introduce a powerful new way to analyze research papers, reports, and policy documents using a method called HDT² External Inference Mode. First, we run a standard AI summary to establish a baseline—what most tools give you: a recap of key points and maybe a list of strengths and weaknesses. Then we run the same document through the HDT² protocol.

This second pass is different. It breaks down the document into four critical dimensions:

• Ω – Intent: What is this document really trying to prove?

• ∆ – Uncertainty: What claims can’t be verified or need more evidence?

• Φ – Insight: Can we reframe weak points into stronger questions?

• Ψ – Follow-up: What needs deeper exploration or future testing?

We compare both results so you can see why structured inquiry matters—and how HDT² helps you spot gaps, bias, or hidden potential that traditional summaries miss.

This isn’t prompt engineering. It’s epistemic diagnostics.

Whether you're an analyst, policymaker, or just trying to make sense of complex documents, this method helps you ask better questions—and make better decisions.