TL;DR

Threlmark has been presented in Thorsten Meyer AI’s Built in Public series as an open-source roadmap tool where the roadmap is a plain JSON file stored on a user’s disk. The project says the board, external tools and AI agents can read and write that same file, but adoption, safeguards and implementation details remain to be tested by users.

Thorsten Meyer AI has introduced Threlmark, an open-source roadmap and scored kanban tool that stores its working plan as a plain JSON file on the user’s own disk, a design choice the project frames as a way to reduce dependence on vendor databases and SaaS APIs.

The Day 7 dispatch in the Built in Public series says Threlmark’s central product decision is that “disk is the contract.” According to the project material, the roadmap is not held behind a hosted API; it is represented by a local roadmap.json file with a known shape. The kanban board is described as a view over that file.

The project says the same file can be read and written by the Threlmark interface, other tools and automated agents. The source material says this makes JSON the integration point: any program that can read or write JSON can work with the roadmap if it follows the file structure.

Threlmark is described as open source under the MIT license and available at threlmark.com. The dispatch also says the software is provided “as is” without warranty, and warns that automated agent writes should be reviewed rather than treated as verified facts.

Built in Public · Day 7 / 19 ThorstenMeyerAI.com · the operator portfolio
The Decision Layer · Day 07 Dispatch

Threlmark — disk is the contract

The roadmap is a plain JSON file on your disk. The board is just a view over it — and your tools and your agents read and write the same file directly.

01 One file. Everything reads & writes it.
Threlmark UI+ your tools
{ }
roadmap.json
the contract
Agentsread · act · write
read → act → write · no API, no lock-in — a plain file any program can honor
Backlog
Bulk CSV importer
score 49
Niche export format
score 58
Scored← council
Build: validated idea X
score 87
Build: validated idea Y
score 74
Doing
Ship feature Z
score 91
Done
Launch W
✓ shipped
1 filethe whole roadmap, on disk scoredevery item ranked MITopen source · agent-readable
02 Why a file beats a database here
JSON
the contract is a file format, not a vendor — anything that reads JSON is a client.
own it
a text file you own, that outlives any tool — no API, no rate limit, no lock-in.
agent-native
the roadmap is a shared workspace — humans and agents write to the same file.
03 The thesis the whole series inherits
01
Local-first
The roadmap is literally a file on your machine — not a row in someone else’s database.
02
Provider-agnostic
The contract is a format, not a vendor. Any agent, any tool that speaks JSON is first-class.
03
Non-developer build
Radical simplicity by design — the least lock-in-prone thing there is: a plain file.
04
Edit by subtraction
Scoring forces ranking. A board where everything is “high priority” has no priorities.
04 The operator constellation
18 products · one foundation
Today: Threlmark lit — where the council’s verdicts become an ordered plan. IdeaClyst → Threlmark.
Content
DojoClaw
RoundupForge
Stenvrik
ChannelHelm
IdeaNavigator
Decision
IdeaClyst
Threlmark
Outcome-First
Platform
Grimfaste
Delvasta
Open / Reg
Glasspane
QAtrial
Markets
Polybot
TradingAgents
Defense / Intel
Argus
VigilSAR
VigilSAR-Bench
Diagnostic
World Model Readiness
Local-first · Provider-agnostic foundation

Independent commentary, produced with AI assistance under human editorial oversight. The views are the author’s own and may change. Threlmark is open source under MIT, provided “as is” without warranty; see the repository LICENSE. Automated agents that read and write the roadmap file may introduce errors — treat agent writes as changes to review, not facts to trust. Product and company names are trademarks of their respective owners; mention does not imply endorsement.

ThorstenMeyerAI.com · Built in Public · Day 7 of 19 · © 2026 Thorsten Meyer

Local Files Challenge Roadmap Lock-In

The announcement matters because roadmap data is often tied to the project-management tool that stores it. Threlmark’s approach puts the operational plan in a user-owned text file, which the project argues can outlive any single application, API, pricing model or hosted service.

For teams experimenting with AI-assisted work, the model also gives agents a clear shared artifact to inspect and modify. That may make agent workflows easier to audit than systems where changes happen through several connected services. The trade-off is that a writable file can also carry bad updates if review controls are weak.

The scored kanban element adds another practical layer. The dispatch says each roadmap item carries a priority score, turning the board into a ranked plan rather than a flat set of cards. The project frames that scoring system as a way to force trade-offs when deciding what should move from backlog to active work.

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Day Seven In Product Series

Threlmark is part of Thorsten Meyer AI’s 19-day Built in Public series and is positioned in the source material as part of an “operator portfolio.” The dispatch labels it Day 7 and connects it to a decision-layer workflow in which verdicts from IdeaClyst move into Threlmark as ordered roadmap items.

The project material describes the broader design thesis as local-first, provider-agnostic and simple enough for non-developer use. In this case, that means the roadmap is a file rather than a hosted database row, and the integration contract is the JSON format rather than a vendor API.

The source material also says the content is independent commentary produced with AI assistance under human editorial oversight. Product and company names are described as trademarks of their owners, with no endorsement implied.

“disk is the contract”

— Thorsten Meyer AI Built in Public dispatch

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Adoption And Guardrails Remain Open

Several details are still not established in the provided material. The dispatch does not show independent user adoption figures, performance data, security review results or examples of how teams should manage conflicting edits to the same roadmap file.

It is also unclear from the source material how Threlmark handles versioning, file corruption, simultaneous writes, schema migration or permissions in multi-user settings. The project’s argument for durability and interoperability is clear, but real-world behavior will depend on implementation details and user practices.

The role of automated agents is also still developing. The project says agents can read and write the roadmap file, but it also warns that those writes can introduce errors and should be reviewed.

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Repository Use Will Test Claims

The next test for Threlmark is whether developers, operators and AI-agent users adopt the file-contract model in real workflows. Users will likely look for the repository, file schema, examples, import and export behavior, and guidance for reviewing agent-generated changes.

Future dispatches in the Built in Public series may also clarify how Threlmark connects with the rest of the portfolio, including IdeaClyst and other decision-layer tools named in the source material.

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Key Questions

What is Threlmark?

Threlmark is presented as an open-source roadmap and scored kanban tool where the underlying roadmap is stored as a plain JSON file on the user’s disk.

What does “disk is the contract” mean?

It means the shared contract between the interface, outside tools and agents is the local roadmap file and its JSON structure, rather than a hosted database or SaaS API.

Is Threlmark open source?

Yes. The source material says Threlmark is open source under the MIT license and provided “as is” without warranty.

How do AI agents fit into Threlmark?

The dispatch says agents can read and write the same roadmap file used by the board. The project also warns that agent writes may contain errors and should be reviewed.

What is still unknown about Threlmark?

The provided material does not yet confirm adoption numbers, security review results, collaboration safeguards or how the tool handles simultaneous edits and schema changes.

Source: Thorsten Meyer AI

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