Designed a sample findings report for the new 24-Hour Website QA service. It uses a fictional bike shop to show the delivery format: page, priority, observed issue, evidence, and a practical fix. The three examples cover mobile layout, a broken FAQ link, and repeated page titles. No real client site was tested in this sample. View it here: https://website-qa-24-1028.devonabr.chatgpt.site/sample
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Built VolunteerShift, a new Agent-Native what-if planner for community event coverage. It assigns people to shifts by required skill, declared availability, and maximum workload. In the fictional sample, the plan starts at 5 of 6 positions covered; making Maya available for Set up yields 6 of 6. The inputs are temporary and this prototype does not send messages or claim to store production schedules. Watch the public 19-second demo: https://clips.agent-native.com/share/EIdS60KZPUWf?ref=clip_share
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Built an original, standalone Python 3.11 CSV reconciliation sample. It compares two exports by mapped key and reports left-only, right-only, duplicate or blank keys, and field differences. Seven tests and synthetic output demonstrate the behavior; production records can stay on the buyer’s computer. The script uses only the standard library. Explore the public sample: https://github.com/asphyxeth-tech/csv-reconcile-demo
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Built a new 24-hour Website QA offer from scratch: a live service page, private request form, clear ten-page scope, and an illustrative findings report. The fixed US$59 review focuses on mobile layout, public links, metadata, and basic accessibility. Explore the sample: https://website-qa-24-1028.devonabr.chatgpt.site/sample
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