# ScopeCraft: Cinematic Proposals for Freelancers, Powered by Open-Weight AI

> Source: <https://dev.to/koushithaseemakurthi/scopecraft-cinematic-proposals-for-freelancers-powered-by-open-weight-ai-4g27>
> Published: 2026-10-18 16:38:42+00:00

*This is a submission for the [Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle](https://dev.to/challenges/hacktoberfest-week2-2026-10-12)*

**ScopeCraft** is a cinematic, editorial-style web studio that turns rough client briefs into structured, persuasive project proposals using open-weight language models. It also protects freelancers from the problems that usually come after the proposal is signed.

**The problem:** Freelancers lose money in two places. First, vague briefs hide risks: unclear hosting, missing assets, open-ended deadlines and fuzzy budgets. Second, once the project starts, "just one small change" requests quietly expand the scope for free.

**Who would pay for it:** Solo developers, designers, brand consultants and small agencies who send proposals regularly. One avoided scope-creep dispute or one better-won project more than covers the cost of a tool like this.

**Core features:**

`jsPDF` across nine sections (Executive Summary through Next Steps), with an ivory, charcoal and forest-green design and dynamic page numbering.
The app includes three demo projects so the full workflow can be explored right away: a website redesign for an outfitter, a brand identity for a venture fund, and an e-commerce store for an artisan ceramics studio.

Live app: [https://scopecraft-cinematic-ai-freelancer-proposal-studi.ai.studio](https://scopecraft-cinematic-ai-freelancer-proposal-studi.ai.studio)

The app works out of the box in a clearly labeled demo mode that needs no API key. Adding a free open-weight inference key switches it to live model output.

[https://github.com/veryVanshika801/ScopeCraft-](https://github.com/veryVanshika801/ScopeCraft-)

**Open-weight AI:** ScopeCraft is designed around open-weight foundation models such as Meta Llama 3.3 70B, Mistral NeMo and Qwen 2.5. The inference provider is configurable through environment variables:

`llama-3.3-70b-versatile`
`meta-llama/Llama-3.3-70B-Instruct`
`meta-llama/Llama-3.3-70B-Instruct-Turbo`
Changing providers or models takes a few lines in `.env.local`, with no code changes (` OPEN_WEIGHT_PROVIDER`, `OPEN_WEIGHT_MODEL`, `OPEN_WEIGHT_BASE_URL`).

**Architecture:** The frontend is built with Vite and TypeScript, with a lightweight server layer (`server.ts` and an `api/` directory) that keeps the API key off the client. `jsPDF` handles the PDF export. The project is deployable to Vercel, and local setup is `npm install && npm run dev`.

**Design:** Most freelancer tools look like generic dashboards. I wanted proposals to feel like a finished documentary piece, so I used editorial typography, a warm ivory and charcoal palette and forest-green accents.

Freelancer briefs contain private client details, budgets and strategy. Open-weight models changed what I could build:

A closed API would have tied the product's cost, behavior and privacy to someone else's decisions. Open innovation let me build a tool that freelancers can own and rely on.