JSON and CSV Exports: Design Data Other Tools Can Use
Make exported data predictable by defining records, missing values, identifiers, validation, and the handoff to the next tool.
Read the guideIDEAS YOU CAN PUT TO WORK
Practical explanations for the tools you use and the workflows you want to build. Ten complete guides, from your first API contract to a useful data export.
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Make exported data predictable by defining records, missing values, identifiers, validation, and the handoff to the next tool.
Read the guideChoose an automation boundary that matches the task, then document the platform differences that matter for Mac and Windows runners.
Read the guideMake a tool run explain itself. Design structured events that show what happened, which attempt produced the result, and what an operator should do next.
Read the guideBuild a mobile flow around observable outcomes, then account for platform drivers, application state, device coverage, and recoverable failures.
Read the guideA practical design for receiving events, tracking deliveries, handling duplicates, and turning webhook notifications into observable tool workflows.
Read the guideTurn page markup into records you can trust by separating extraction, normalization, validation, and the evidence needed to explain every result.
Read the guideGood selectors describe what a person is trying to use. Build browser workflows around meaning, clear scope, and evidence that the intended action worked.
Read the guideTurn a collection of tool calls into a repeatable test flow with explicit state, bounded retries, and results that explain what happened.
Read the guideA screenshot becomes useful when its purpose and capture conditions are clear. Plan a repeatable workflow from the first capture request to the final review.
Read the guideA useful tools API starts with a clear contract. Learn how to define inputs, interpret results, set permissions, and choose an interface for real work.
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