Files
thinkloom-openai-hackathon/.labyricorn/devlog/desktop-mvp/contents.lr
T

51 lines
2.6 KiB
Markdown

_model: devlog-entry
---
schema_version: 1
---
title: Building and preparing the Thinkloom desktop MVP
---
date: 2026-07-17
---
author: Christopher Chambers
---
summary: On one build day, Thinkloom became a native desktop MVP, clarified its local-first boundary, made prompts configurable, and was prepared for Build Week review.
---
tags: Tauri, React, Rust, MVP, architecture, local-first, privacy, prompts, models, configuration, user-control, OpenAI Build Week, release, documentation
---
source_commit: 9c2ab17c2508f181ad7adee635cc4d21b37aa2b6
---
body:
The July 17 build brought together the milestones that turned Thinkloom from a
writing-workspace framework into a reviewable native product.
First, Thinkloom became a Tauri 2 desktop application. React and TypeScript
provided the interaction surface while the Rust service layer took responsibility
for local persistence and native operations. The main workflow connected project
state, idea curation, drafting, version history, provider boundaries, exports,
backups, and an inspectable provenance trail. SQLite held live state while
canonical files and hidden Git checkpoints provided durable, reviewable recovery
points.
The product boundary was then narrowed deliberately. Hosted and browser-facing
scaffolding were removed so Tauri became the sole application target. That made
the local-first promise concrete: manuscripts, project state, and credentials
belong on the writer's machine.
Model prompts also moved into documented, user-editable JSON templates. The
application creates user-owned copies and reloads them before each request, with
validation that leaves writing unchanged when configuration is invalid. That
keeps model behavior inspectable rather than hidden in the application.
Finally, the project was prepared for Build Week with its demo, judging guide,
license, collaboration record, and release-oriented documentation. The
submission materials separate completed functionality from distribution work
that still needs external assets or owner decisions.
Related milestones:
- [Build the desktop MVP](https://git.labyricorn.com/Labyricorn/thinkloom-openai-hackathon/commit/b5e6eafa1c4e9b787250c15e6453c2d61dc8830c)
- [Choose the native-only boundary](https://git.labyricorn.com/Labyricorn/thinkloom-openai-hackathon/commit/7866081c7882f8c59d137b126a6fe0278eda87df)
- [Make model prompts configurable](https://git.labyricorn.com/Labyricorn/thinkloom-openai-hackathon/commit/58e5510445d7ab403d8df0792c29743a933531e0)
- [Prepare the Build Week submission](https://git.labyricorn.com/Labyricorn/thinkloom-openai-hackathon/commit/9c2ab17c2508f181ad7adee635cc4d21b37aa2b6)