Earned Trust (AIast)

The Earned Trust standard presents a transparent approach to documenting AI-assisted work. The system allows authors to record specific AI services used during ideation, drafting, and critique, which offers clear visibility into the creative process. The fact that the protocol is self-declared and not yet adopted by external bodies means it currently functions as a voluntary disclosure tool rather than an industry benchmark. While the local browser reader is convenient, the lack of third-party validation suggests that users should view these records as informative data points rather than certified quality guarantees.

The local reader and clear versioning are strong features. I appreciate the honest admission that adoption is still early, which makes the standard feel more trustworthy than those overstating their reach.

Earned Trust offers a structured way to document AI assistance in creative and research work. The standard requires authors to keep records as they work, assigning specific roles like ideation, drafting, critique, verification, and source retrieval. This creates a clear audit trail that readers can inspect. The tools are open source, run locally in the browser, and do not require an account, which enhances privacy since files stay on the device. The governance is transparent, with all changes versioned and deposited with a DOI, ensuring that the standard itself is subject to the same scrutiny it demands of users. While it is not a quality score or certification, it provides a credible framework for self-declared, evidence-backed transparency. The founder's own work serves as a proving ground, demonstrating that the system can handle real projects. For anyone concerned about the opacity of AI-assisted content, this standard offers a practical, checkable alternative that builds trust through verifiable records rather than institutional endorsement.

The concept seems very sound, especially for independent creators who need to prove their process. It is good to see clear governance rules and version history. However, since there are no institutional pilots yet, I am waiting to see how it scales before fully committing my workflow to this standard.

I was really impressed by how easy it is to get started with Earned Trust. The fact that you can just tap your AI button and have a protocol ready to go is fantastic. It runs right in my browser without needing any downloads, which fits perfectly with my workflow on both tablet and computer. Knowing that the tools are open source and free is a huge bonus. It feels like a solid step forward for transparency in AI work, and I am excited to see where this goes as more people start using it to record their creative processes.