Consolidate same-day Thinkloom devlog entries
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_model: devlog-entry
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---
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schema_version: 1
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---
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title: Preparing the Build Week submission
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date: 2026-07-17
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---
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author: Christopher Chambers
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summary: The project was packaged with its demo, judging guide, license, collaboration record, and release-oriented documentation.
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tags: OpenAI Build Week, release, documentation
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source_commit: 9c2ab17c2508f181ad7adee635cc4d21b37aa2b6
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---
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body:
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Preparing Thinkloom for OpenAI Build Week required more than producing a working
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binary. The submission needed to explain the problem, demonstrate the product
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without relying on private context, and document how Christopher and Codex
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collaborated during the build.
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This milestone added the submission narrative, a repeatable demo script,
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testing guidance for judges, and the AGPL-3.0 license. It also separated claims
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that could be demonstrated from release gates that still required external
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assets or owner decisions, such as code signing and bundled voice models.
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That distinction remains important to the project: completed functionality is
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documented plainly, while unfinished conformance or distribution work is not
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presented as done.
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[View the submission commit](https://git.labyricorn.com/Labyricorn/thinkloom-openai-hackathon/commit/9c2ab17c2508f181ad7adee635cc4d21b37aa2b6)
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@@ -1,31 +0,0 @@
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_model: devlog-entry
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---
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schema_version: 1
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---
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title: Making model prompts configurable
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---
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date: 2026-07-17
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---
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author: Christopher Chambers
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---
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summary: Conversation and drafting prompts moved into documented, user-editable JSON files that reload without rebuilding the application.
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---
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tags: prompts, models, configuration, user-control
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---
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source_commit: 58e5510445d7ab403d8df0792c29743a933531e0
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---
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body:
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Thinkloom's model behavior should not be a hidden, immutable part of the
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application. Conversation and drafting prompts were moved into structured JSON
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templates and documented as part of the project configuration.
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The application creates user-owned copies and reloads them before each request,
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so a technical writer can adjust instructions without rebuilding or restarting
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Thinkloom. Validation happens before a request is sent: invalid JSON or missing
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template variables produce a recoverable error and leave the writing unchanged.
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This work reinforced two of the project's recurring principles—model behavior
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should be inspectable, and failure should not silently alter a manuscript.
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[View the configurable-prompts commit](https://git.labyricorn.com/Labyricorn/thinkloom-openai-hackathon/commit/58e5510445d7ab403d8df0792c29743a933531e0)
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@@ -2,32 +2,49 @@ _model: devlog-entry
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---
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schema_version: 1
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---
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title: Building the native desktop MVP
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title: Building and preparing the Thinkloom desktop MVP
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---
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date: 2026-07-17
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---
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author: Christopher Chambers
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---
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summary: The workspace became a Tauri desktop application with a React interface, Rust service layer, local persistence, provenance, exports, and recovery behavior.
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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.
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---
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tags: Tauri, React, Rust, MVP
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tags: Tauri, React, Rust, MVP, architecture, local-first, privacy, prompts, models, configuration, user-control, OpenAI Build Week, release, documentation
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---
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source_commit: b5e6eafa1c4e9b787250c15e6453c2d61dc8830c
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source_commit: 9c2ab17c2508f181ad7adee635cc4d21b37aa2b6
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---
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body:
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The first desktop MVP moved Thinkloom from the workspace framework into a Tauri
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2 application. React and TypeScript provided the interaction surface, while the
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Rust service layer took responsibility for local persistence and native
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operations.
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The July 17 build brought together the milestones that turned Thinkloom from a
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writing-workspace framework into a reviewable native product.
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This milestone connected the main workflow end to end: project state, idea
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curation, drafting, version history, provider boundaries, exports, backups, and
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an inspectable provenance trail. SQLite held live state while canonical files
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and hidden Git checkpoints provided durable, reviewable recovery points.
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First, Thinkloom became a Tauri 2 desktop application. React and TypeScript
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provided the interaction surface while the Rust service layer took responsibility
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for local persistence and native operations. The main workflow connected project
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state, idea curation, drafting, version history, provider boundaries, exports,
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backups, and an inspectable provenance trail. SQLite held live state while
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canonical files and hidden Git checkpoints provided durable, reviewable recovery
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points.
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The goal was not merely to wrap a web interface in a desktop shell. The native
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boundary made local files, operating-system credentials, atomic writes, and
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offline ownership part of the product itself.
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The product boundary was then narrowed deliberately. Hosted and browser-facing
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scaffolding were removed so Tauri became the sole application target. That made
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the local-first promise concrete: manuscripts, project state, and credentials
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belong on the writer's machine.
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[View the MVP commit](https://git.labyricorn.com/Labyricorn/thinkloom-openai-hackathon/commit/b5e6eafa1c4e9b787250c15e6453c2d61dc8830c)
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Model prompts also moved into documented, user-editable JSON templates. The
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application creates user-owned copies and reloads them before each request, with
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validation that leaves writing unchanged when configuration is invalid. That
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keeps model behavior inspectable rather than hidden in the application.
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Finally, the project was prepared for Build Week with its demo, judging guide,
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license, collaboration record, and release-oriented documentation. The
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submission materials separate completed functionality from distribution work
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that still needs external assets or owner decisions.
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Related milestones:
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- [Build the desktop MVP](https://git.labyricorn.com/Labyricorn/thinkloom-openai-hackathon/commit/b5e6eafa1c4e9b787250c15e6453c2d61dc8830c)
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- [Choose the native-only boundary](https://git.labyricorn.com/Labyricorn/thinkloom-openai-hackathon/commit/7866081c7882f8c59d137b126a6fe0278eda87df)
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- [Make model prompts configurable](https://git.labyricorn.com/Labyricorn/thinkloom-openai-hackathon/commit/58e5510445d7ab403d8df0792c29743a933531e0)
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- [Prepare the Build Week submission](https://git.labyricorn.com/Labyricorn/thinkloom-openai-hackathon/commit/9c2ab17c2508f181ad7adee635cc4d21b37aa2b6)
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@@ -1,33 +0,0 @@
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_model: devlog-entry
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---
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schema_version: 1
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---
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title: Choosing a native-only product boundary
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---
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date: 2026-07-17
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---
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author: Christopher Chambers
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---
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summary: Thinkloom removed its hosted and browser-companion paths so the implementation matched its local-first product promise.
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---
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tags: architecture, local-first, privacy
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---
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source_commit: 7866081c7882f8c59d137b126a6fe0278eda87df
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---
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body:
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During implementation, Thinkloom briefly contained hosted and browser-facing
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scaffolding alongside the desktop application. That created a mismatch with the
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product being described: a native, local-first writing studio with no required
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account or hosted companion.
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The project removed the Sites, Next, worker, and browser-companion paths and
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made Tauri the sole application target. This reduced the deployment surface and
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made the privacy boundary easier to understand: manuscripts, project state, and
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credentials belong on the writer's machine.
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The change was as much a product decision as a technical cleanup. A smaller,
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clearer architecture made it possible to state honestly what Thinkloom was—and
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what it deliberately was not.
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[View the native-only commit](https://git.labyricorn.com/Labyricorn/thinkloom-openai-hackathon/commit/7866081c7882f8c59d137b126a6fe0278eda87df)
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