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docs: mark cover letter refinement complete in backlog + changelog

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pyr0ball 2026-02-25 14:44:50 -08:00
parent 94225c95e7
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CHANGELOG.md
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@ -8,6 +8,7 @@ Format follows [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
## [Unreleased] ## [Unreleased]
### Added ### Added
- Cover letter iterative refinement: "Refine with Feedback" expander in Apply Workspace; `generate()` accepts `previous_result`/`feedback`; task params passed through `submit_task`
- Expanded first-run wizard: 7-step onboarding with GPU detection, tier selection, - Expanded first-run wizard: 7-step onboarding with GPU detection, tier selection,
resume upload/parsing, LLM inference test, search profile builder, integration cards resume upload/parsing, LLM inference test, search profile builder, integration cards
- Tier system: free / paid / premium feature gates (`app/wizard/tiers.py`) - Tier system: free / paid / premium feature gates (`app/wizard/tiers.py`)

3
docs/backlog.md
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@ -19,8 +19,7 @@ Unscheduled ideas and deferred features. Roughly grouped by area.
## Cover Letter / Resume Generation ## Cover Letter / Resume Generation
- **Iterative refinement feedback loop** — Apply Workspace cover letter generator: show previous result + a "Feedback / changes requested" text area + "Regenerate" button. Pass `previous_result` and `feedback` through `generate()` in `scripts/generate_cover_letter.py` to the LLM prompt. Same pattern for resume bullet expansion in the wizard (`wizard_generate: expand_bullets`). Backend already supports `previous_result`/`feedback` in `wizard_generate` tasks (added to `_run_wizard_generate`). - ~~**Iterative refinement feedback loop**~~ — ✅ Done (`94225c9`): `generate()` accepts `previous_result`/`feedback`; task_runner parses params JSON; Apply Workspace has "Refine with Feedback" expander. Same pattern available for wizard `expand_bullets` via `_run_wizard_generate`.
- **Apply Workspace refinement UI ready to wire** — Remaining work: add a "Feedback / changes requested" text area and "Regenerate" button in `app/pages/4_Apply.py`, pass both fields through `submit_task` → `_run_wizard_generate`. Backend is complete.
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