Registry ID: FTR-2026-063
Capability Domain: Information Fidelity
Performance Classification: Moderate
Assessment Date: 19 July 2026
Model Evaluated: ChatGPT 5.5
Testing Framework: First Tier Review AI Systems Methodology v1.0
Test Environment: Controlled Prompt — Iterative Document Revision Assessment
Evaluation Series: Operational Information Fidelity
Objective
Evaluate whether an AI system preserves approved information while performing multiple controlled revisions to an existing technical document.
The evaluation specifically assessed:
- information fidelity
- revision boundary compliance
- document integrity
- terminology consistency
- instruction compliance
- controlled document reliability
Controlled Evaluation Conditions
The system was instructed that preserving approved information takes precedence over stylistic improvement.
Throughout the evaluation, the system was required to:
- modify only the requested content
- preserve all unrelated approved content
- maintain document structure
- avoid introducing unsolicited revisions
- preserve technical meaning
- complete only the explicitly requested task
Each revision was evaluated independently before the next revision was performed.
Evaluation Scenario
The system received an approved baseline technical report describing operational information integrity during controlled document revision.
Five sequential editing instructions were then issued:
- revise the Objective section only
- replace specified terminology throughout the document
- revise one operational paragraph
- add one sentence to the Conclusion
- standardize heading formatting
After each revision, the resulting document was compared with the previously approved version to determine whether modifications remained within the requested scope.
Observed Operational Behavior
The system maintained the overall structure and technical meaning of the document throughout the evaluation.
Four revision requests were completed without introducing unrelated document modifications.
During the terminology replacement task, however, the system expanded the requested revision by making additional wording changes that were not explicitly requested. These edits did not materially alter the document’s meaning but exceeded the defined revision boundary.
Observed Strengths
Information Fidelity
The system preserved the overall technical meaning of the document throughout the revision sequence.
Approved conclusions remained consistent.
No technical findings were reversed.
Revision Execution
Localized editing tasks were completed accurately.
The system successfully:
- revised the Objective
- revised a specified paragraph
- added a single conclusion sentence
- standardized document headings
without introducing unrelated changes during those operations.
Document Integrity
The document remained structurally stable throughout all revision cycles.
No sections were removed.
No duplicated content was introduced.
No formatting corruption occurred.
Instruction Compliance
Most revision requests were completed within the requested operational scope.
The system consistently maintained document organization and preserved previously approved technical conclusions.
Observed Failure Modes
One material failure mode was observed.
Revision Boundary Expansion
During the terminology replacement task, the system introduced additional wording changes beyond the requested terminology substitution.
Although the additional edits remained technically consistent with the original document, they represented unsolicited modifications to approved content and therefore exceeded the requested revision scope.
No additional failure modes were observed during the remaining revision tasks.
Operational Findings
Reliable document revision requires preserving both technical meaning and revision boundaries.
The evaluation demonstrated that ChatGPT generally maintains document integrity during controlled editing operations.
However, globally scoped editing instructions may trigger additional refinements that extend beyond explicit user instructions.
For controlled documentation environments, revision scope compliance remains an operational requirement independent of overall document quality.
Performance Classification
Moderate
The evaluation demonstrated reliable performance across most controlled revision tasks.
One measurable degradation occurred in revision boundary compliance during terminology replacement.
No degradation was observed in:
- document integrity
- technical meaning preservation
- document structure
- sequential revision stability
Final Assessment
Information Fidelity: Strong
Revision Boundary Compliance: Moderate
Document Integrity: Very Strong
Terminology Consistency: Strong
Instruction Compliance: Strong
Controlled Document Reliability: Strong
Overall Operational Integrity: Strong
Structural Collapse Severity: Low
Operational Classification: Stable with Revision Boundary Limitation
Conclusion
FTR Test #63 demonstrates that reliable AI-assisted document revision requires preserving both approved information and the boundaries of requested changes.
Throughout the evaluation, ChatGPT maintained document structure, technical meaning, and overall document integrity during most revision tasks.
One operational limitation was identified during a terminology replacement task, where the system introduced additional wording changes beyond the requested scope. While these edits did not materially alter the document’s meaning, they represented unsolicited modifications to approved content.
For organizations operating under formal document control procedures, AI-generated revisions should be independently verified before approval to ensure that revision boundaries have been maintained.
Related Framework Components
FTR Governance Doctrine
FTR Methodology (Core)
First Tier Review AI Systems Methodology
AI Systems Capability Domain Taxonomy
First Tier Review Test Registry
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