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Semantic Topic Clustering PRD:
02 Jan

Github
+2
Problem: Current summarization fragments related ideas into separate highlights, making recaps feel disjointed for users.
Proposed Solution: Implement semantic clustering using larger context windows to group related topics automatically.
Technical Alignment: > Clustering Engine: Utilize the existing
meeting-analyzerrepo logic, extending the current summarizer logic for broader context grouping.UI Integration: Link summaries to specific transcript time ranges and add topic-based color segments to the timeline.
Impact: Reduces friction in product discovery by providing cohesive, actionable meeting outcomes instead of fragmented notes.
Lumen Feature Discovery
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Identifying emerging themes in customer feedback and telemetry
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Ingestion Process
Session ID: LMN-SYNC-2026-02-05Status: Active[14:02:15] — Data Ingestion: The Trigger
Source:
Amplitude_Export_APIPacket Received:
batch_id_772(Behavioral events for 450 users).Initial Filter: Anomaly detected in
Cura_Upload_Workflow.Lumen Observation: 38% spike in
Video_Processing_Abortedevents within the "Healthcare Professional" user segment.
[14:02:18] — Cross-Pollination: Context Gathering
Source:
Gong/Zendesk/SlackLumen Action: Scanning external integrations for keyword "Processing."
Correlation Found: * Gong: Customer success call from 10:00 AM mentions: "The video just hangs at 90% when we upload surgical logs."
Zendesk: Ticket #4412: "App freezing during final ledger encryption step."
Friction Score: 84/100 (Urgent Path Blocker).
Data Ingested for Timestamps: 12:00AM-11:59 EST
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AI Strategy & Performance ReportReporting Period: Q1 2026Project Status: Active / Optimization Phase1. Executive SummaryThe current AI deployment has achieved a 30% gain in operational efficiency this quarter. We have successfully mitigated early latency bottlenecks and are currently scaling the "Cura" video ledger's automated indexing features.2. Key Performance Indicators (KPIs)MetricTargetActualStatusModel Accuracy90.0%92.3% ExceededInference Latency< 20ms15ms HealthyThroughput1k ops/sec1.2k ops/sec HealthyBias/Fairness Score> 0.950.97 Compliant3. ROI & Financial ImpactTotal Efficiency Gain: Estimated at +$1.2M in saved manual labor hours.Top Resource Usage: Cloud Compute (GPU Instances) remains the primary cost driver.Cost-to-Value Ratio: 3.5x return on initial infrastructure investment.4. Risk & Compliance AuditHIPAA Compliance: All data ingestion processes for the video ledger remain fully encrypted and audit-ready.Fairness Audit: Recent testing across "Group A" and "Group B" demographics showed minor disparity ($<2\%$), which was corrected via updated mitigation strategies in the January patch.5. Next StepsIntegration: Finalizing API connections for Slack and Microsoft Teams.Scaling: Moving from trial-size data batches to full-scale repository indexing.Monitoring: Continuous tracking of "Project Metrics" to ensure no drift in model accuracy.
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