Presentations & Media

Deep dives into epistemic AI architecture

Slide decks, infographics, and research papers that explain how Empirica enables AI systems to track their own knowledge state, maintain context across sessions, and operate with measurable epistemic integrity.

Training Course

Video and audio walkthroughs covering how to use Empirica, the CASCADE workflow, and how everything fits together. You guide the AI with natural language — the AI handles the CLI, measurement, and artifact logging.

Video Overviews

Visual introductions for evaluating Empirica. Watch before you install.

VIDEO 1 Brief

Why Empirica

The problem every developer knows: AI tools that act before understanding, lose context mid-session, and repeat mistakes.

VIDEO 2 Explainer

Empirica in Action

What a real session looks like: natural language driving the CASCADE workflow, the Sentinel gating action, and artifacts compounding.

VIDEO 3 Explainer

Under the Hood

The architecture that makes it work: hooks, Sentinel, dual-track calibration, and 4-layer storage.

Audio Companion Guides

Deep-dive podcast episodes to listen to while working with Empirica. Two AI hosts walk through each topic.

MODULE 1 ~10 min

Getting Started

Install Empirica with pip install empirica and empirica setup-claude-code. Follow along as the hosts walk through your first session.

MODULE 2 ~15-20 min

The CASCADE Workflow

How transactions work: investigation before action, with CHECK as the gate. The hosts walk through a complete two-transaction example step by step.

MODULE 3 ~15-20 min

How It All Fits Together

The architecture deep dive: hooks, Sentinel, calibration, storage, and context recovery. The hosts explain why everything in Modules 1 and 2 works.

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