We describe the Algebras FluencyScore submissions to the WMT26 Automated Translation Quality Evaluation shared task (Tasks 1-2). FluencyScore is a reference-free structured LLM judge: five fluency sub-dimensions, a fixed-weight aggregate, and a diagnostic error record (issue type, severity, problem phrase). This system paper adapts that judge rather than replacing it. For Task 1 the diagnostic record is specialized into a multi-error character-span annotator with deterministic phrase-to-offset alignment, merge / whole-segment post-processing, and a conservative add-only overlay. For Task 2 the calibrated scalar is mapped onto the cESA scale with a WMT25-fitted affine adapter and moment matching (aira_mo). Submitted systems use Gemini 3.5 Flash and cover all 21 official pairs plus challenge sets. Official human-cESA rankings were not available at camera-ready time; we report no ranks and no Codabench verification scores.