AI Content Disclosure
Reclaimed Roots believes readers should know how the articles they read are made. This page sets out our use of AI tools in the editorial process, in plain language, so there is no ambiguity.
What we use AI for
We use large-language-model AI tools to help with the following parts of our workflow: drafting initial article structures from editor-supplied briefs; synthesising publicly available information into readable explainers; copy-editing for clarity, readability, and consistency of tone; suggesting headlines, subheads, and meta descriptions; and surfacing factual prompts that the editor then verifies against primary sources.
What we do not use AI for
We do not use AI to invent first-hand experiences, fabricate quotes, generate fictional artisan biographies, or impersonate craftspeople we have not actually spoken to. When an article includes direct observation from a visit, a workshop, or a maker, that section is written by Gaurav Kothari from notes, and is labelled accordingly. We do not generate fake reader testimonials. We do not auto-publish AI output without editorial review.
How AI fits our editorial standards
The principle is straightforward: AI is a tool that helps the editor produce more thoughtful writing more quickly. It is not, on its own, the author. Every article has a human editor in the loop who is responsible for the claims made, the structure chosen, and the final version published. If something in an article is wrong, that is on us — not on the tool.
Image generation
Featured images on Reclaimed Roots may include AI-generated illustrations and editorially licensed stock photography. We are working towards more original imagery over time, particularly photographs from workshops and artisans we feature directly. Where an image is AI-generated, we treat it as illustrative rather than documentary, and we do not present AI images as photographs of real, specific people or workshops.
Why we disclose this
Many publications use AI in their workflow without saying so. We think that is a missed opportunity. Disclosure helps readers calibrate trust appropriately, makes it easier for us to be held accountable for our claims, and treats readers as capable adults who can decide for themselves how much weight to give an article that has been part-written with the help of a tool.
Questions and corrections
If you spot something in an article that reads as inaccurate, generic, or out of step with reality on the ground, please write to us via the Contact page. Reader corrections are one of the most valuable inputs we receive, and we treat them seriously. Our full process is described in our Editorial Policy.
This disclosure was last reviewed on 21 May 2026.