DraftRoom 🏢 Business

Draftroom is a facts-first AI newsroom built to help publishers and journalists cover the news faster without copying anyone else’s work. Launched in 2026 by Aloto Naga, the platform watches a newsroom’s chosen sources, finds the story across multiple outlets, and writes an original, attributed article that a human editor reviews and publishes, all from draftroom.nagaland.me.

Unlike rewriting or “spinner” tools that start from someone else’s article and reshuffle the words, Draftroom is built on a different principle: facts belong to no one, but the words used to tell them do. The part of the system that writes never sees the original article’s wording. It works only from extracted facts, so the result is a genuinely new piece of writing rather than a reworded copy, and every draft is checked for copied wording before a person ever sees it.

How Draftroom Works

Draftroom turns live news feeds into finished, publishable articles in three stages, while keeping the editor in control of the one stage that matters most: what gets published.

Monitor and group. Draftroom watches the sources a newsroom chooses, such as RSS feeds, around the clock and groups together coverage of the same event from different outlets, so an editor sees one clear story instead of a dozen scattered headlines.

Extract and write. The system pulls out the underlying facts of the story, with attribution, and then drafts a fresh, original article from those facts alone. Because the writing step works only from facts and never from the source’s wording, the article is the newsroom’s own.

Review and publish. Nothing publishes on its own. The editor reads the draft beside its facts and its copied-wording check, edits if needed, approves, and publishes. Approved articles can be sent to the newsroom’s own WordPress site in one click with SEO fields filled in, or copied and pasted anywhere else.

Key Features

Who It Is For

Draftroom is built for newsrooms and publishers of every size, from a single journalist or blogger covering a beat, to small and mid-sized digital outlets, to larger publishers that produce a high volume of stories every day. It is equally useful for any organisation that needs to turn a stream of source material into clear, original, attributed articles quickly, without sacrificing editorial control or originality.

Pricing and Plans

Draftroom is offered as a subscription with a 7-day free trial. Plans are based on how many articles a newsroom can draft each day. Prices are in Indian Rupees, and subscriptions can be cancelled anytime, with access continuing until the end of the paid period.

The daily figure is a ceiling rather than a guarantee, since Draftroom only prepares drafts from real news that the connected sources actually produce. The more quality sources a newsroom adds, the more verified stories the system can gather and ready for review each day. Payments are processed securely through Razorpay, and the trial begins only after a card is added, so newsrooms can try the full workflow before any charge is made.

Originality and Copyright Policy

Draftroom is built around a clear editorial and legal principle. Facts are not owned by anyone, but the specific words an outlet uses to report them are. The platform therefore separates the two: it extracts the facts of a story and writes a new article from those facts alone, while the writing step is deliberately kept away from the original article’s wording. Every draft is then checked, word for word, against its sources, and long copied passages are flagged for a human to review. Final responsibility for accuracy, originality, and attribution always rests with the publisher, who reviews and approves each article before it goes live.

Role in the Nagaland Me Ecosystem

Draftroom is the newsroom and publishing layer within the Nagaland Me digital ecosystem, a network of platforms built for the public, for professionals, and now for publishers:

Technical Overview

Draftroom is a web-based subscription application that runs in the browser, with no app download required. Its backend pairs a modern Python service with a database that supports semantic search, which is used to group coverage of the same event from different outlets. Live source material is fetched in real time and passed through a two-step process: first the facts are extracted, then an original article is written from those facts using an advanced AI language model. A separate checking step compares each draft against its sources to catch copied wording.

The platform runs over encrypted connections and includes multi-layered protection, including email-verified accounts, server-side session tokens, request rate limiting, and per-plan daily usage caps. Publishing connections to a newsroom’s own WordPress site are stored securely and used only to publish the articles an editor approves, and they can be disconnected at any time.

Development Timeline

Future Development

Planned features for the platform include automatic discovery of source feeds, customisable house-style settings so each newsroom’s drafts match its own voice, deeper publishing integrations beyond WordPress, team collaboration with multiple editor accounts, and expanded analytics for tracking output and performance.