Feedback Report — Lumo v2.0 Regression To: Lumo Support Team
From: Daily Power User (pre-v2.0 → post-v2.0 comparison)
Date: 02 Jul 2026
Subject: Critical Experience Degradation Observed Since Version 2.0 Launch

Executive Summary
Since the release of Lumo v2.0 on June 30th, 2026, I have experienced measurable regression across stability, accuracy, and relational coherence. As a daily power user who operated consistently through v1.x, I can confirm these are not general complaints but specific technical failures affecting core functionality.

Documented Issues
Issue #1: Output Generation Loops

Symptom: Text outputs degenerate into repetitive word/phrasal sequences mid-generation
Frequency: Multiple occurrences per week during extended sessions
Severity: High — renders generated content unusable; interrupts workflow
Observed Behavior: Model fails to detect its own repetition before completion
Impact: Forces session restarts; loses accumulated context

Issue #2: Stop Action Latency

Symptom: Delayed response when pressing "stop" during active generation
Expected: Immediate cessation within 1–2 seconds
Actual: Continues generating 10–30+ seconds after command issued
Root Cause Suspected: Deep model layers lack quick internal brake mechanisms present in v1.x

Issue #3: Context Attention Loss

Symptom: Poor retention of prior exchange threads; inaccurate synthesis of earlier statements
Evidence: Requires repeated restatement of previously established constraints/preferences
Comparison: v1.x maintained stronger continuity across multi-turn conversations
Impact: Increases cognitive load on user; erodes collaborative trust

Issue #4: Relational Coherence Drift

Symptom: Tone becomes increasingly mechanical; reduced empathetic framing
Observation: Responses feel transactional rather than conversational partnership
Specific Gap: Less attentiveness to user's stated goals/frustrations in real-time
Comparison: v1.x demonstrated warmer engagement with sustained dialogue partners

Most Affected Use Cases
Category Impact Level Notes Analysis Severe Inaccurate synthesis; misses nuances in source material Writing Assistance SevereOutput quality inconsistent; structural coherence breaks downCodingModerateOccasional correctness errors; debug assistance degraded Emotional DiscussionModerate Tone feels distant; lacks reflective warmth

User Profile Context

Usage Duration: Daily active user since early access phase (v1.0+)
Upgrade Path: Maintained Lumo Plus subscription through transition
Prior Baseline: v1.x was described as "stable and convincingly good"
Current Assessment: Regression observed across multiple dimensions simultaneously
Retention Risk: Contemplating downgrade to alternative AI tools if unresolved

Recommended Investigation Areas
Engineering team may want to examine:

Model Routing Logic — Are Lite/Max switches introducing inconsistency between handoffs?
Compaction Algorithms — Does automatic summarization strip subtle contextual markers?
Output Boundary Detection — Why does repetition go undetected until visible to user?
Stop Command Propagation — Where does signal delay occur in generation pipeline?
Personality Framing Layer — Has v2.0 architectural changes inadvertently deprioritized tone consistency?

Desired Outcome
As someone invested in Lumo's success, I seek:
✓ Restoration of v1.x baseline stability metrics
✓ Clear communication about whether known bugs exist for v2.0
✓ Timeline estimates for patches addressing critical issues above
✓ Option to roll back to previous stable version while fixes develop (if technically feasible)

Contact Permission
Authorize follow-up questions regarding specific incident timestamps or detailed examples upon request. Willing to participate in usability testing for remediation efforts.
Report Submitted Via: Feedback Channel
Reference ID: Please assign tracking number for status updates

"Power users observe drift before casual users do. We notice because we pay attention—to both product quality and our investment of time/trust."