#tier-1-opinions
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2026-03-12
Signal Fusion: How Semantic, Relational, and Direct Signals Combine to Make Recommendations That Don't SuckEvery recommendation system that works well is fusing multiple signal types. The ones that don't understand this ship vibes-based retrieval and wonder why users leave. A taxonomy of signals, how they combine, and what the SOTA ecosystem gets right and wrong.
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2026-03-12
Optimising Recall and Precision in LangSmith ExperimentsYour retrieval pipeline returns results. But does it return the right results? How New Computer used LangSmith's experiment framework to achieve 50% higher recall and 40% higher precision in agentic memory retrieval — and what you can steal from their approach.
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2026-03-10
Empathy Architecture: Designing LLM Outputs That Don't Feel Like Surveillance"After you close the laptop" vs "Your Evening Wind-Down" — why the difference matters, and how to build systems that infer emotion without weaponising it.