BriefMint: A Local AI Scope Assistant for Freelancers

Description and use

BriefMint turns a vague client message into a preliminary project scope, surfacing hidden requirements and providing a draft reply, saving discovery time and reducing the risk of free work.

Problem

Freelancers often receive vague client requests that hide hidden requirements, leading to free work and inaccurate estimates.

Outcome

BriefMint turns a vague client message into a structured scope sheet, surfacing hidden requirements and providing a draft reply, thereby reducing discovery time and preventing free work.

Workflow

• 1. Freelancer copies client message into BriefMint.
• 2. BriefMint sends the text to a local Gemma 3 4B model via Ollama.
• 3. The model returns structured JSON with deliverables, questions, and a draft reply.
• 4. Freelancer reviews, edits, and sends the reply back to the client.

Evidence

BriefMint turns a freelancer’s client message into a first-pass scope sheet: likely deliverables, questions to ask before quoting, and a reply the freelancer can edit.

Source

BriefMint uses Gemma 3 4B through Ollama. A small Python server bound to loopback sends the brief to Ollama’s local chat endpoint and returns structured JSON for a plain HTML, CSS, and JavaScript interface.

Source

With local inference, BriefMint sends that text to a model running on the freelancer’s computer instead of a hosted AI API.

Source