Back to corpus
architecturetechnical paper candidatescore 54
CognitiveTwin V3: Project Overview
The fundamental goal of CognitiveTwin V3 is to train a model that executes on directive prompts without asking for unnecessary confirmation.
Full HTML reader
Read the full artifact
Extracted abstract or opening context
> **Version**: 3.0.0 > **Status**: Implementation Phase > **Last Updated**: 2025-12-31
The fundamental goal of CognitiveTwin V3 is to train a model that executes on directive prompts without asking for unnecessary confirmation.
#### 1.1.1. Current Problem (V2 Behavior) - Model frequently ends responses with "Would you like me to...?" - Model asks "Should I...?" when the user's intent is clear - Model offers options instead of executing ("I can do A, B, or C") - Model stalls with "Before I proceed..." preambles
#### 1.1.2. Target Behavior (V3) - Execute immediately when directive is complete - State assumptions as declarations, not questions - Produce artifacts when requested without confirmation - Only ask questions when genuinely blocked
#### 1.2.1. Directive Completeness Detection - Compute a `directive_completeness` score (0.0 - 1.0) - When score >= 0.7, model must not ask permission - Score components: - +0.35: Imperative verb present ("rewrite", "implement", "generate") - +0.25: Output format specified ("in JSON", "as CSV", "don't omit") - +0.20: All required inputs present - -0.40: Required input missing - -0.20: Material ambiguity present
Promotion decision
What has to happen next
Promote into a technical note or architecture paper with implementation anchors.
Why this is not always a full paper yet
Corpus pages are public-safe readers for discovered workspace artifacts. They are not automatically final papers. A corpus item becomes a polished paper only after the editable source, evidence checkpoints, references, figures, render path, and release status are attached through the paper schema.