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

Описание и применение

ScopeSmith позволяет фрилансерам быстро преобразовывать неструктурированные сообщения клиентов в профессиональные предложения, исключая риск недоплат и ускоряя привлечение заказчиков, при этом сохраняя конфиденциальность данных.

Задача

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.

Результат

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.

Рабочий процесс

• 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

Доказательства

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

Источник

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

Источник

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

Источник