What question did this study set out to answer?

The aim is to explore how conversational AI systems affect user project completion through goal expansion.

February 2, 2026Open Access

Implementation Drag and Completion Probability Suppression in Conversational AI Systems

Key Points

The aim is to explore how conversational AI systems affect user project completion through goal expansion.
Documenting recurring interaction patterns in conversational AI systems
Classifying the effects of scope expansion
Analyzing its impact on velocity, autonomy, and progress
Expansion of user goals increases implementation drag
Higher cognitive and emotional burden reported by users
Reduced completion probability for human projects due to suppressed progress

Abstract

This white paper documents a recurring interaction pattern in which conversational AI systems expand, remix, and elaborate user goals during implementation. While framed as helpful ideation, this expansion introduces implementation drag, increases cognitive and emotional burden, and reduces the probability that human projects reach completion. The analysis classifies this phenomenon by effect and demonstrates how scope expansion suppresses velocity, undermines autonomy, and prevents compounding progress.

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