usecaseinai

Pattern library · 2 documented systems · updated 16 Dec 2025

AI use-cases, documented from source.

Real-world AI systems across industries and everyday life, each one sourced and broken down — the decision, the approach, and the result. No hype, no demos.

Gaming vs. saving lives: the $2.5M drug discovery problem

In production

01 · SEARCH

ESM-2 embeddings over 200M sequences → thousands of candidates

02 · STRUCTURE

AlphaFold2 / OpenFold predict 3D structure on H100s

03 · VALIDATE

DiffDock simulates docking, ranks by binding affinity

Model class
ESM-2 + AlphaFold2/OpenFold + DiffDock (diffusion)
Timeline
2 weeks (vs. ~200 years traditional search)
Gating eval
CAMEO/CASP14 validated; pLDDT ≥ 70 kept
Primary failure
Low-confidence regions trimmed, still need wet-lab confirmation

Embedding search over 200M protein sequences, GPU-accelerated structure prediction, and diffusion-based docking replace a wet-lab search that would otherwise take roughly two centuries.

Source: usecaseinai — "Gaming vs Saving Lives: A $2.5 Million Drug Problem"
Open teardown →

Pattern index

All entries →
IDPatternStatus
Gaming vs. saving lives: the $2.5M drug discovery problemEmbedding search over 200M protein sequences, GPU-accelerated structure prediction, and diffusion-based docking replace a wet-lab search that would otherwise take roughly two centuries.Source: usecaseinai — "Gaming vs Saving Lives: A $2.5 Million Drug Problem"PRODUCTION
Reclaim 2 hours: how Superhuman classifies 500M+ emails a dayMulti-task email classification (importance, category, spam) behind one shared encoder, with a calibration layer that only automates the predictions it's confident about.Source: usecaseinai — "Reclaim 2 Hours: Email Prioritization"PRODUCTION

Recent teardowns

  • 16 Dec 2025
    Gaming vs. saving lives: the $2.5M drug discovery problem

    Innophore needed one enzyme out of 200 million known protein sequences. A three-model AI pipeline on H100 GPUs found it in two weeks for under $100,000 — a search that would have taken a wet lab roughly 200 years.

    drug-discovery, life-sciences

  • 11 Dec 2025
    Reclaim 2 hours: how Superhuman classifies 500M+ emails a day

    Superhuman's email triage runs on dozens of fine-tuned classifiers, not one generic model — and a calibration pattern that only automates the predictions it's actually sure about.

    classification, productivity

One teardown a fortnight

New entries and revisions to existing ones, with a short note on what changed and why. No digests, no roundups.