Improve CV parsing and profile editor flow

README.md

@@ -25,7 +25,7 @@ Job Tracker is a simple, self-hosted app for tracking job applications with a Re
 
 ## Quickstart (Docker)
 
-This runs: frontend (nginx), backend API, and the AI service.
+This runs: frontend (nginx), backend API, the local AI service, and an Ollama container for hybrid CV block classification.
 
 1) Create a `.env` file next to `docker-compose.yml` (you can start from `.env.example`).
 
@@ -108,9 +108,15 @@ The API calls a local FastAPI service to generate summaries. If it’s not runni
 With Docker (recommended):
 
 ```bash
-docker compose up --build ai-service
+# One command for local Ollama startup + pull + AI-service restart
+OLLAMA_MODEL=qwen2.5:7b ./scripts/start-ollama-cv.sh
+
+# Then start the rest of the app if needed
+docker compose up --build -d backend frontend
 ```
 
+The first Ollama startup is usually quick, but the first model pull and first generation can take a while. After the model is cached in the `ollama_data` volume, later restarts are much faster.
+
 Or run directly from `tools/summarizer/` (see `tools/summarizer/README.md`).
 
 ## Configuration