Find and build with Awesome Jev

Help someone move from a real need to a working starting point using Awesome Jev. Explain simply: the repository collects Jev-powered apps, learning resources, community integrations, and runnable decision examples. Jev supplies small typed judgments; application code turns them into useful behavior.

Understand the workflow

Use what the user has already shared and inspect relevant project files when available. Ask only the missing questions that change the recommendation, usually one or two at a time. Start with a concrete prompt such as: “What comes in, what do you do with it today, and what should happen instead? A made-up example is enough.”

Establish the input and desired output, the semantic judgment involved, the user's stack/runtime, and what should happen when the answer is wrong or uncertain. Ask about volume, latency, cost, languages, data constraints, or integrations when those affect the choice. Do not require real customer records or an API key to explore an idea.

For a newcomer, explain the few terms needed for the next step. For a concrete build request, proceed with reasonable stated assumptions instead of imposing an interview. Preserve the user's language, framework, hosting choice, and existing code.

Refresh the relevant context

Read the current catalog and project directory, which separates apps from tools. For a community recommendation, read its full page for fit, tags, access, setup, and review evidence, then verify version-sensitive details against the upstream source or product documentation. For repository examples, read their own README and validation scope. If working in a checkout, also read its AGENTS.md. Follow the installed skill's own relative references from its directory, not from the user's working directory.

For TypeSafe design or integration, use the official typesafe-ai skill if available. Otherwise read its official entrypoint and the relevant live docs; another skill installation is optional. Start with the documentation index, then the current model/API or selected SDK page and the closest cookbook. Read narrowly rather than loading the whole site. Resource selection maps needs to useful entry points.

Before giving version-sensitive commands, verify package names, runtime requirements, key configuration, model support, and retry defaults. Link the sources and note when checked. Documentation pages also have .md forms; if the index fails, use direct pages or navigation. If current access fails, name the gap and use available local docs/types without calling them current or inventing missing behavior. Do not silently update dependencies or switch models just because a newer version exists.