ScopeSmith — an AI proposal generator that runs on a $0 local model

说明与用途

ScopeSmith 让自由职业者能够快速将不结构化的客户信息转换为专业提案，消除范围蔓延风险，提升客户获取速度，并保持数据隐私。

问题

Freelancers spend excessive time converting vague client briefs into structured proposals, often missing out‑of‑scope items and falling victim to scope creep, which leads to unpaid work and lost revenue.

结果

ScopeSmith enables freelancers to produce professional proposals in under a minute, eliminating scope creep, reducing unpaid work, and accelerating client acquisition, with a cost‑effective local model that keeps client data private.

工作流

• Paste messy client brief into ScopeSmith
• Local model (Qwen2.5-1.5B-Instruct via Ollama) processes brief through four-stage pipeline: extract → scope → red flags → terms
• Generate structured proposal in markdown
• Review and send proposal to client

证据

ScopeSmith turns a messy client brief into a client-ready proposal in under a minute.

来源

Paste a rambling WhatsApp export, a half-formed Upwork message, a rambling email — you get back a structured proposal: scope of work, concrete deliverables, an explicit out-of-scope list, the top scope-creep risks with countermeasures, and freelancer-friendly payment terms

来源

The project is a small Python package: scopesmith/ providers.py # LLMProvider ABC + ollama / openai-compatible / mock backends prompts.py # the four stage prompts + proposal renderer pipeline.py # extract → scope → red flags → terms orchestration cli.py # python -m scopesmith entry point

来源