QueueInk
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle What I Built A tattoo inquiry usually shows up as a vague DM: "small fox on my forearm, kinda fine line, budget around 400Rs, need it before the 20th." Size, references and exact placement are often missing, and some requests are things the artist simply doesn't do. Answering every one by hand takes time, and…
QueueInk is an inquiry desk for solo tattoo artists, designed to streamline the process of handling client requests. The system allows the artist to set their own rules, such as styles they don't do, placements they avoid, a minimum price, and whether they take cover-ups. Once the rules are established, the artist pastes an inquiry, and the system checks it against the rules using plain code, not AI.
The system provides flags from the artist's rules and an editable job card with details about the inquiry. It generates a draft reply, and if a hard rule is triggered, it automatically sends a polite decline based on the artist's rules. If the rules are not triggered, the system asks for any missing information. The AI never accepts a job, sets a price, or creates artwork; it only reads text and drafts a message that the artist edits.
The design of QueueInk focuses on a narrow job for the model, which significantly reduces the workload and makes declines instantaneous. It uses an open-weight model, Qwen2.5-0.5B-Instruct, which keeps the decision-making process simple and predictable. The artist can run QueueInk entirely on their own computer, without any per-message API costs or risk of per-message charges. The model can also be swapped or tuned later, providing flexibility for the artist.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
