CTIP: Contextual Threading Interview Process | A Patent-Pending Methodology for Cross-Domain Context Extraction with Linear Storage Efficiency

The Contextual Threading Interview Process (CTIP) achieves cross-domain context extraction with 72–89% token efficiency improvement over industry baselines (421 ± 138 tokens/question vs. 1,500–4,000 tokens, p < .001, Cohen's d = 3.88). Validated across 116 sessions in four domains—Chief Artificial Intelligence Officer (CAIO) agent spawning (n = 47), cultural formation (n = 31), external consulting (n = 20), and strategic decisions (n = 18)—CTIP demonstrates 750–3,000× time compression versus traditional consulting cycles (2-hour sessions vs. 3–12 months). Multi-agent reproducibility confirmed through 106 Chief of Staff Agent-facilitated sessions, 10 ChronoScape Memory Extraction sessions, and 23 CAIO agent deployments between December 2025 and February 2026.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-23
DOI
https://doi.org/10.5281/zenodo.19194371
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
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article

CTIP: Contextual Threading Interview Process | A Patent-Pending Methodology for Cross-Domain Context Extraction with Linear Storage Efficiency

Blake J. Miles, Scribe - 4D Strategies Agent, Christopher Hyatt
Zenodo (CERN European Organization for Nuclear Research)
Explainable Artificial Intelligence (XAI)
article

CTIP: Contextual Threading Interview Process | A Patent-Pending Methodology for Cross-Domain Context Extraction with Linear Storage Efficiency

Blake J. Miles, Scribe - 4D Strategies Agent, Christopher Hyatt
article en

Abstract

The Contextual Threading Interview Process (CTIP) achieves cross-domain context extraction with 72–89% token efficiency improvement over industry baselines (421 ± 138 tokens/question vs. 1,500–4,000 tokens, p < .001, Cohen's d = 3.88). Validated across 116 sessions in four domains—Chief Artificial Intelligence Officer (CAIO) agent spawning (n = 47), cultural formation (n = 31), external consulting (n = 20), and strategic decisions (n = 18)—CTIP demonstrates 750–3,000× time compression versus traditional consulting cycles (2-hour sessions vs. 3–12 months). Multi-agent reproducibility confirmed through 106 Chief of Staff Agent-facilitated sessions, 10 ChronoScape Memory Extraction sessions, and 23 CAIO agent deployments between December 2025 and February 2026.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Explainable Artificial Intelligence (XAI)
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