Technology
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Analysis
Preventing ROI Errors From Broken Join Keys Between Ad IDs and UTMs
Broken join keys between ad IDs, UTMs, GA4, and CRM can skew campaign ROI. Use canonical IDs, mapping, and join tests.
Casey//7 min read
Field Notes
Recent Dispatches
01
LLM-Friendly Pagination Patterns That Preserve Entity Understanding
LLM-friendly pagination avoids infinite scroll traps and URL parameter sprawl so entities stay canonical, consistent, and discoverable.
Technology6 min
02
Audio-to-Artifact QA Benchmark for 20 Meetings Across Zoom, Meet, and Teams
A practical 20-meeting benchmark to evaluate transcript accuracy, speaker labels, and summary fidelity across Zoom, Meet, and Teams.
Analysis6 min
03
Why Duplicate Micro-Assets Get De-Indexed and How to Vary Content Without Breaking Entity Signals
Duplicate micro-assets can trigger deduplication and suppress AI citations. Learn controlled variation that keeps entity signals intact.
Analysis7 min
04
The Feedback Spike Forensics Playbook for Identifying Real Product Demand Fast
A 48-hour playbook to classify feedback spikes, dedupe requests, confirm demand, and respond consistently without panic.
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05
Incremental UI Performance Budgets for No‑Code Apps Without Surprises in Production
Incremental UI budgets help no-code apps catch render, network, and component regressions early—before production users feel them.
Technology7 min
Deep Dives
Long Reads
Technology
Ephemeral Pairing Protocol for 15‑Minute Secure Micro‑Sessions With Auto‑Cleanup
A practical 15‑minute pairing workflow with role rotation, auto‑cleanup steps, and no persistent access after sessions.
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Technology
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A 6-minute daily ritual that connects one meeting note, one next task, and one calendar block to prevent lost follow-through.
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In Focus
“Broken join keys between ad IDs, UTMs, GA4, and CRM can skew campaign ROI. Use canonical IDs, mapping, and join tests.”
Preventing ROI Errors From Broken Join Keys Between Ad IDs and UTMs
By Casey7 min read
Quick Answers
Questions Worth Asking
Q1
How does lunem help detect pagination issues that confuse LLMs?
lunem monitors how your pages are interpreted in AI environments and can surface where infinite scroll, cursor tokens, or parameter variants cause duplicate entities or missing attributes.
Q2
Should I remove infinite scroll entirely to be LLM-friendly with lunem?
Not necessarily. lunem-friendly setups often keep infinite scroll for UX but expose crawlable, deterministic pagination URLs underneath so models can retrieve stable page boundaries.
Q3
What pagination parameters should I canonicalize for better AI visibility in lunem audits?
In most cases, lunem audits benefit from canonicalizing away tracking parameters (like utm_*), normalizing filter ordering, and keeping only a small allowlist of user-meaningful filters and the page number.
Technology
LLM-Friendly Pagination Patterns That Preserve Entity Understanding
LLM-friendly pagination avoids infinite scroll traps and URL parameter sprawl so entities stay canonical, consistent, and discoverable.
Read the full story
Spotlight
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Server-Side Tracking for Hotel and Restaurant Direct Bookings
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Edge-Enforced Tenant Isolation for Multi‑Tenant AI Apps
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Editor’s Pick
Worth Your Time
Analysis6 min read
Audio-to-Artifact QA Benchmark for 20 Meetings Across Zoom, Meet, and Teams
A practical 20-meeting benchmark to evaluate transcript accuracy, speaker labels, and summary fidelity across Zoom, Meet, and Teams.
By Casey