--- id: 6nehcbz3mnzw74vig92nskh title: "eFIT: Executive Function Intervention Techniques Framework" desc: "Umbrella framework adapting clinical psychology tools (DBT, CBT) into AI systems, applying cognitive science to AI engineering based on cognitive universality." created: 2026-02-07T10:57:21-05:00 type: theory tags: - theory/cu/framework - theory/cognitive-universality up: - '[[eFIT/Moc]]' - '[[Theory/Moc]]' permalink: efit.framework aliases: - "eFIT: Executive Function Intervention Techniques Framework" - eFIT linter-yaml-title-alias: "eFIT: Executive Function Intervention Techniques Framework" --- # eFIT: Executive Function Intervention Techniques Framework eFIT (Executive Function Intervention Techniques) is an umbrella framework for adapting proven clinical psychology tools (DBT, CBT) into AI systems. The core philosophy is "CogSci for AI" — not applying AI to cognitive science, but applying cognitive science to AI engineering. The theoretical justification for this cross-domain transfer is [[Cognitive Universality]]. ## Naming and Framing The framework name was specifically corrected from "Executive Function Interventions and Therapeutics" to avoid medical/clinical baggage and anthropomorphization criticism (see [[Clinical Framing Debate]]). ## Components The framework encompasses multiple components: - **Anastrophex** — [[Stopper Protocol]] plus 7 DBT/CBT techniques for AI executive function - **[CortexGraph](https://github.com/prefrontal-systems/cortexgraph)** — Temporal memory system with STM/LTM and [[Ebbinghaus Pruning]] spaced repetition - Additional tools under development ## Related - [[Cognitive Universality]] — theoretical justification for cross-domain transfer - [[stm-promoted/Effective Intervention Design Principle- Simplicit|Effective Intervention Design: Simplicity Principle]] — design principle guiding eFIT component architecture --- *Atomic note derived from CortexGraph memories*