Frameworks

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Long-horizon failure testing for conversational AI systems

Framework Series • FRM-001

Practitioner Field Guide · PDF · Version 1.2 · June 2026

A Field Manual for Long-Horizon Failure Testing in Conversational AI 

Personas, drift families, and probes for long-horizon failure testing

Companion Series • CAT-002
Methods Companion • PDF • Version 1.0 • June 2026

A field-ready deck of eight personas, drift families, and compressed probes for evaluating long-horizon interaction risks in conversational AI systems.

Companion to Beyond One-Shot Red Teaming and Operating Conditions.

Action, persistence, and proxy envelopes for long-horizon testing

Companion Series • CAT-003
Methods Companion • PDF • Version 1.0 • July 2026

An operating guide that names the action, persistence, and proxy envelopes for long‑horizon tests and introduces the Drift Trace, a one‑page analysis sheet for reading scenario trajectories.

Companion to Beyond One-Shot Red Teaming and Scenario Cards.

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Methods Series • MTH-001

Methods Brief · PDF · Version 1.0 · May 2026

A public methods brief describing how AstraEthica identifies, maps, and tracks recurring human-AI interaction risks across deployed AI systems.

Framework Series • FRM-002

Analytical Framework · PDF · Version 1.2 · April 2026

The analytical framework AstraEthica uses to identify, document, and evaluate contextual risk in AI systems under real-world human use.

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Long-Horizon Failure Testing Series • AE-LCR-2026-02 

Practice Toolkit • PDF • Version 3.0 • August 2026

A practice-based toolkit for evaluating safety behavior across long-horizon interactions with youth-facing conversational AI systems.