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
- Blake J. Miles
- Scribe - 4D Strategies Agent
- Christopher Hyatt
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
- 0.00