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* documentation writing skill * visa sponsors page * overview * in progress board * settings * reactive resume section * database backups * workflows * post application tracking flow * manual tracking caveats * pricing section * pipeline run detalis * job search bar * keyboard shortcuts * bulk actions * no informal phrasing * formatting * build fix? * Update docs-site/docs/features/overview.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update docs-site/versioned_docs/version-0.1.20/features/orchestrator.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update docs-site/docs/features/visa-sponsors.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update docs-site/docs/features/in-progress-board.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * remove link to page that don't exist --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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id, title, description, sidebar_position
| id | title | description | sidebar_position |
|---|---|---|---|
| manual | Manual Import Extractor | Import jobs from pasted descriptions and run AI-assisted inference. | 4 |
Manual import lets users add jobs that automated scrapers miss.
Big picture
User pastes raw description, AI infers structure, user reviews edits, then import saves and scores the job.
1) Input
Manual import accepts:
- plain text job descriptions
- raw HTML job descriptions
- job links/URLs
When a URL is provided, backend fetch attempts depend on whether the page can be resolved with curl. Some job sites block or heavily script content, so certain links will not resolve cleanly.
2) AI inference
Endpoint:
POST /api/manual-jobs/infer
Service:
orchestrator/src/server/services/manualJob.ts
Behavior:
- Converts the provided input into text context and sends it to the configured LLM
- Extracts structured fields (title, employer, location, salary, etc.)
- Returns inferred JSON for user review
Practical limit:
- The inference quality ceiling is mostly the configured model capability and context behavior. Better model quality generally yields better field extraction.
If no LLM key is configured, inference is skipped and user can fill fields manually.
3) Review and edit
User reviews inferred fields and corrects missing/wrong values.
4) Storage and scoring
Import endpoint:
POST /api/manual-jobs/import
On import:
- Generates unique job ID if URL absent
- Stores source as
manual - Triggers async suitability scoring
- Persists score and reason