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Check an appointment letter against its source before exporting a confirmed local calendar draft.
Compare two CSS easing curves at the same moment and export their exact timing functions.
Generate synthetic API test requests and boundary cases from a small JSON contract, entirely in your browser.
Learn a relationship from observations, then challenge it with a separate experiment.
Estimate a rain garden’s storage area from one roof rainfall event.
Turn an image into editable interface color roles, contrast feedback, and exportable CSS.
Map every path through a form before a user reaches a dead end.
A tiny language that turns theater cue scripts into a visual timeline, preview, and timing diagnostics.
Turn the paths. Carry the light home.
A visible daily promise that a temporary walking route is still usable.
Build a clear three-step lesson and share it as an offline HTML page.
Spot meaningful changes between privacy notice versions, privately in your browser.
A small offline layout model that finds which objects must be removed before equipment can move—and refuses to guess missing dimensions.
Review connection records with a local Strands agent, trace conflicting nets, and confirm draft corrections before exporting a report.
Train locally, select an abstention policy on validation batches, and inspect every held-out decision—including confident mistakes.
Inspect sensor capture integrity before interpreting the signal, with source-row evidence and reproducible review records.
A local-first release evidence gate that turns scattered requirements, tests, links, and AI-use disclosure into one reviewable submission manifest.
An explainable speaking queue that makes room for every community voice.
Evidence-first energy waste diagnosis for small buildings—turning hourly readings into inspectable anomalies, bounded cause hypotheses, and human-verified savings experiments.
An evidence-first allocation agent that turns surplus-food offers into safe, reviewable pickup plans.
Upload the room. Watch the ranking change.
See 2,000 possible fits before one tolerance becomes a jam.
Turn breaking data changes into evidence-backed, validated patches.
Teach your phone a sound in minutes, then recognize it privately and offline.
