Web

LLM Explained

Last updated 2026-11-03 · benchmark measured 2026-11-03 — deterministic & reproducible

A free, scroll-driven course that shows how large language models work, one interactive picture at a time.

Are you the maker of LLM Explained? Claim this listing. It is free, takes a meta tag, a DNS record or GitHub admin rights, and never changes the score.

Launched something? Add your product, free.

To cite this score: legit.show/s/llm-explained-lovat-vercel-app/2026-11-03. That address never changes; this page moves with every re-measure.

Legit.Show scored LLM Explained 64/100 on 2026-11-03, measured across all 7 frames from its public surface. legit.show/s/llm-explained-lovat-vercel-app/2026-11-03

Is LLM Explained production-ready?

Legit.Show scores LLM Explained 64 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on LLM Explained (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Accessibility; its weakest is Discoverability. Every frame it averages is published with its evidence on the Legit.Show listing.

The 7 Frames

• Performance — 84/100
• Accessibility — 96/100
• Security — 45/100
  How this compares across the catalogue: The Web Security Baseline
• Privacy — 25/100
  How this compares across the catalogue: The Privacy Gap
• Reliability — 92/100
• Standards — 85/100
• Discoverability — 20/100

What we measured

• Security headers present: HSTS.
• No Content-Security-Policy.
• Served over HTTPS with a valid certificate.
• Real Lighthouse performance run — 22 ms to first byte.
• Returns a proper 404 for unknown routes.
• 0 of 0 sampled routes reachable.
• No privacy policy found.
• Sets cookies / loads scripts with no consent prompt.

Sources and updates

Description

Taken from llm-explained-lovat.vercel.app's own website on 2026-11-03.

Benchmark

Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-11-03.

Put together from public information, without LLM Explained's involvement. If anything here is wrong, tell us and a person will check it.

Visit LLM Explained → · How this was measured →