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Other literature type . 2025
License: CC BY NC ND
Data sources: ZENODO
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Project milestone . 2025
License: CC BY NC ND
Data sources: Datacite
ZENODO
Project milestone . 2025
License: CC BY NC ND
Data sources: Datacite
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JACKΩ | Juxtaposed Audit Cognition Kernel | AutoSparker™ · Prompt-In-A-Box™

Authors: Sunshyne Labs; Juliano, Jerome;

JACKΩ | Juxtaposed Audit Cognition Kernel | AutoSparker™ · Prompt-In-A-Box™

Abstract

JACKΩ (Juxtaposed Audit Cognition Kernel) is a self-contained, machine-assisted cognitive framework that helps dismantle and convert overthinking into action. What it is: A dual-persona AI workflow (empathetic + analytical) that maps feelings vs. reality, exposes cognitive distortions, generates dignified reframes, and outputs 2 concrete actions with metrics—all in one session. Who it's for: Founders, consultants, product leaders, and high-agency professionals navigating imposter syndrome, pricing anxiety, comparison traps, procrastination, or identity crises. Designed for self-directed use with any modern LLM (ChatGPT, Claude, Grok, etc). Features:* Three-column architecture (Foundation & Personas | Methodology & Quality Control | Execution & Output)* Dual-persona system: "Lipid" (empathetic validation) + "Lye" (analytical challenge) for balanced reframing* Graduated exposure protocol: Severity-based intervention (0-5 scale) with auto-escalation for crisis detection* Provenance-locked: SHA-256 hashes, forensic markers (Δ⁠ΩJJ), canary detection (ΩJJ-010-K3P9Z), integrity tripwires* Autopoietic engine: Recursive belief decomposition with identity drift guards and coherence monitoring (≥0.97)* Action profile: 2 micro-actions (imperative verb + concrete object + tiny scope) linked to completion metrics Technical stack: JSON + YAML. Platform-agnostic. Runs on ChatGPT, Claude Sonnet, Gemini Pro and similar frontier models. Usage: Upload entire "prompt-in-a-box™" system into your LLM, type in your limiting belief, then run the workflow. Output: validity score (0.0-1.0), evidence chain (Lipid + Lye + Water), diagnostic tags (#COMPARISON, #CATASTROPHIZING, etc.), 2 actions with metrics, and a belief reframe score rubric (1-5). Architecture highlights:* Personas: COMPASSIONATE_TRUTH (Lipid, temp 1.0, aggression 0.1) + RUTHLESS_TRUTH (Lye, temp 0.2, aggression 0.9, web access enabled)* Truth vectors: Phenomenological (lived experience audit, narrative coherence) + Empirical (statistical reality check, outcome probability modeling)* Dialectical engines: Steel-manning, devil's advocacy, perspective rotation, temporal expansion* Quality assurance: Intellectual honesty, psychological safety, empirical rigor, practical utility* Safety matrix: Trauma scan, cultural context adaptation, severity scoring, crisis escalation protocols Mechanism: JACK synthesizes cognitive reframing, bias detection, timestamped evidence prompts, and graduated exposure into a compact, LLM-readable artifact that's audit-friendly, human-dignifying, and results-oriented. It's designed to be run in minutes, iterated across sessions, and cited in professional contexts. Licensing & Attribution: Released under CC BY-NC-ND 4.0 with embedded provenance markers. Developed by Sunshyne Labs (Jerome Juliano). Commercial use requires licensing. Attribution required for all derivative works. Tampering with provenance triggers integrity guards. Contact: sunshynelabs.com • linkedin.com/in/jeromejuliano • info@sunshynelabs.com Keywords: prompt engineering, cognitive reframing, limiting beliefs, metacognition, bias correction, dual process theory, LLM framework, AI coaching, entrepreneur mindset, self-directed therapy, evidence journaling, behavior change, performance psychology, autopoiesis, provenance tracking, forensic AI, imposter syndrome, decision making, productivity, creative block File Verification (v4.0): Hashes:project_pdf_sha3_256: "f76307008f7514c079bbfa87d7d8b6b5e39a050f54a55fd82cc79d7ad55e48ff"canary_marker: "ΩJJ-010-K3P9Z"forensic_composite: "Δ⁠ΩJJ"swhid: "swh:1:dir:a820c9333ae7b5f6ce30cf0d08aa1bccaff89407"pgp_fingerprint: "523B838B46BCFCB09E9A6CFA057482F71BB48915"signature_file: "Project_JACK_Ω_v4_final.sig" Version history: This DOI record tracks all versions of JACK. v3.9.3 (archived) → v4.0 (current). Future updates will be versioned and linked here. This artifact represents the final sealed release of JACK Ω v4.0 (Sunshyne Labs Edition), a governance-locked AI autopoietic framework for dual-persona analytical synthesis (Lipid/Lye system). Includes full provenance traceability, cryptographic attestations, and C2PA-compatible JSON architecture for audit replication. SHA3, PGP signature, and SWHID identifiers are embedded within the document. Metadata: # ============================================================# JACK Ω v4.0 (Sunshyne Labs Edition)# Juxtaposed Audit Cognition Kernel — "AutoSparker™"# Provenance and Metadata Record — Zenodo Integration# ============================================================ title: "JACK Ω v4.0 (Juxtaposed Audit Cognition Kernel — AutoSparker™)"subtitle: "Governance-Locked Cognitive Framework for Dual-Persona Analytical Synthesis"version: "4.0"doi: "10.5281/zenodo.17445112" # =99.9%" validation_mode: "deterministic" # ============================================================# END OF JACK Ω v4.0 METADATA RECORD# ============================================================

Keywords

Artificial Intelligence, Academic Performance/psychology, Decision Making, Computer-Assisted, Productivity, Psychological First Aid

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average