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AtlasRepo

QuoteForge: Local AI proposals with prices you can trust

说明与用途

QuoteForge 让自由职业者在本地生成提案,保持客户简报的机密性并确保价格计算的准确性。

问题

Freelancers need to convert client briefs into accurate proposals without exposing sensitive data to external AI services.

结果

QuoteForge enables freelancers to generate proposal drafts locally, ensuring privacy and cost transparency while keeping the model’s output independent of the pricing calculation.

工作流

  • 1. Clone the repository and run docker compose up --build.
  • 2. Wait for the Ollama runtime and llama3.2 model to download.
  • 3. Open http://127.0.0.1:8000 in a browser.
  • 4. Enter service, brief, hourly rate, estimated hours, and expenses.
  • 5. The app calculates the quote and prompts the local model to draft the proposal text.
  • 6. Review the draft, make edits, and copy it for the client.

证据

Enter the service, brief, hourly rate, estimated hours, and expenses; the app calculates the quote and asks a local open-weight model to draft the words around it.

来源

The demo runs locally. Clone the repository, then run: docker compose up --build

来源

The model drafts the proposal; ordinary code calculates rate × hours + expenses, so generated text cannot alter the estimate.

来源

Running the model locally keeps that brief on the freelancer’s machine and avoids sending it to a hosted AI API.

来源

  • 记录日期: 2026-10-14T16:41:12.758Z