Tin Zeljar

Corpus Hub contributor since 2026-10-22

Tin Zeljar's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

28files

1,343lines

★ 1GitHub stars on repo

Totals across every corpus @Zheruel appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the pressay-macos corpus

Zheruel/pressay-macos: Quality-first, local voice dictation for AI prompts on macOS

Look up how pressay-macos implements ai-tools, apple-silicon, dictation, with answers cited to file and line.
Reuse a worked example: the commit “Add ranked local ASR models and task-specific defaults” (28 files · Swift, C++).
Answer from pressay-macos's real Swift source instead of memory (AI, prompts and agents).

Example questions

Where does pressay-macos handle “Add ranked local ASR models and task-specific defaults”?
How does pressay-macos implement ai-tools?
What does Sources do in pressay-macos?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository Zheruel/pressay-macos with XERJ (https://hub.xerj.org/corpus/zheruel--pressay-macos).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/Zheruel/pressay-macos pressay-macos && git -C pressay-macos checkout 99e41d661906dae531ccb7b901c9034c262582f3
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./pressay-macos --url http://127.0.0.1:9200 --prefix pressay-macos --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

corpus zheruel--pressay-macos · AI, prompts and agents
Related corpora: mkcert, swift-evolution, erdembeler/exdl, DreamOfXM/diskwise
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 1

Zheruel/pressay-macos

99e41d6619 Add ranked local ASR models and task-specific defaults (#23)

selected commit: 28 files · 1,343 lines · Swift, C++ · Sources, Runtime, Tests

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus zheruel--pressay-macosAIMITai-toolsapple-silicondictationlocal-firstmacosspeech-to-text agreed 2026-10-22

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/Zheruel/badge.svg)](https://hub.xerj.org/contributors/Zheruel)

Included with the author's permission (email, 2026-10-22), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.