5 posts tagged heat-metrics-lab. ← Back to all posts
How heat-metrics-lab Chapter 7 got two interactive surfaces — manual sliders and a live api.weather.gov fetch — wired to the same drift-gated metrics.js. Covers the playground skill's single-state-object pattern, the CSP-respecting ZIP-to-lat/lng pivot, a two-stage NWS fetch, and a solar-elevation estimator built from first principles.
Heat Metrics Lab is now public — nine chapters of scrollytelling about air temperature, heat index, and WBGT, each anchored on primary sources, with a JS↔Python drift gate holding 56× tolerance headroom, no analytics, deployed to Cloudflare Pages. The Anthropic-tooling counterweight to heat-protein-lab.
Two days after heat-protein-lab shipped on Google's stack (Antigravity 2.0, Stitch MCP, DeepMind Science Skills), I built the same class of artifact on the Anthropic stack (Claude Code, advisor, tufte-viz, subagent-driven-development, session-report). Both produced a 9-chapter scrollytelling explainer deployed to Cloudflare Pages. The session-report telemetry shows heat-metrics-lab cost 2.7× fewer tokens. The Anthropic side caught two pre-ship bugs that the Google side had no equivalent gate for. The Google side still has the clearest single advantage — Science Skills' structured domain data — and no Anthropic counterpart today.
Building heat-metrics-lab required getting two things right in Phase 1: a JS-vs-Python parity gate holding both implementations within 0.5 °F of known reference cases, and formula correctness against Liljegren 2008 and Rothfusz 1990. The drift gate solved parity. The advisor — a pre-implementation reviewer running a stronger model against the same conversation context — caught a 6.68 °F RMSE error in the WBGT globe-temperature formula before any implementer touched the code.
heat-metrics-lab Chapter 5 built a 1140-cell divergence map — and the tufte-viz skill caught a normalization choice that would have silently told the wrong story about WBGT vs heat index. A post about design-layer bugs that code review can't see.