Docgent is where humans and AI agents create documents together. Let agents research, draft and revise. Edit directly when you want to. See exactly what changed. Keep every version, comment and decision. Then publish beautifully formatted documents from one controlled source.
One document. Any number of agents. Humans always in control.
AI can produce a twenty-page document in minutes. But today, that document usually lives in a chat.
Ask for another pass and you get another document. Correct a number and it may come back later. Make an edit yourself and the agent may never see it. After enough iterations, nobody is quite sure which version is the version.
Docgent changes the model. Instead of regenerating documents, agents work on the document.
"Rewrite the recommendation to reflect the new valuation range and update the executive summary."
2 sections revised · 1 key figure changed · 3 paragraphs unchanged
Review → edit → approve
The document moves forward without losing everything that came before.
Your agents can read the current document, work from connected source material and propose substantial new drafts or targeted revisions.
Docgent shows the meaningful difference between versions — not an entirely regenerated document you have to read all over again.
Review the agent's work, edit the document directly, leave guidance and send it back around the loop.
The document has a canonical state and a complete history. You can always see how it got there and recover what existed before.
Then do it again. And again.
The twentieth revision is as understandable as the first.
The bottleneck is moving. When producing a first draft took two days, drafting was expensive. When producing a first draft takes two minutes, review, iteration and control become the expensive part.
Traditional document tools weren't designed for an agent that can rewrite half a report between two human keystrokes. Chat wasn't designed to be a document system at all.
Docgent is built for what comes next.
There is always one current document. Agents and humans work against the same state rather than creating competing copies across chats, folders and attachments.
Docgent understands documents as structured content, not a bag of characters. A section moving is a move. A key figure changing is a changed figure. You review the change — not the whole document.
Agents propose. Humans shape. Move between delegation, direct editing, feedback and approval without copy-and-paste destroying the workflow.
Every meaningful change has provenance. See what changed, when it changed, what came before it and which version ultimately shipped.
Separate content from presentation. The same structured document renders through tightly controlled typography, layout and brand systems without asking authors to become designers.
Docgent isn't an editor with an AI button bolted on. Agents are first-class participants in the document lifecycle, able to read, propose and iterate programmatically.
Google Docs and Word were designed around humans typing into pages. AI assistants can be added to them, but the underlying model is still the same: a human owns the document and occasionally asks AI for some text.
Docgent starts from a different assumption: what if agents produce most of the words?
Then the hard problems change. You need agents to understand the current state. You need their changes to be proposed rather than blindly overwrite it. You need humans to inspect small changes without rereading large documents. You need accepted decisions to survive subsequent agent runs. And you need the final artefact to remain reproducible long after the conversation that produced it has disappeared.
That's what Docgent is built for.
Docgent isn't only about words. Documents contain structure: key figures · recommendations · callouts · tables · evidence · citations · decisions · appendices · metadata.
Docgent gives those things meaning. Agents work with a controlled document vocabulary rather than arbitrary formatting. Brand systems determine how that content appears.
So an agent can concentrate on what the document says, while Docgent controls what the document is and how it looks — consistent, programmable document production at a scale traditional desktop publishing was never designed for.
Investment memoranda, valuations, due-diligence reports and transaction materials that evolve through dozens of substantive revisions.
Board papers, strategy documents, committee packs and executive briefings where provenance and approval matter.
Deep research, analysis and recommendations produced by agents but reviewed and shaped by accountable professionals.
Client deliverables where the person whose name appears on the document still needs to understand and stand behind what was produced.
Recurring documents generated across clients, entities or brands without sacrificing design quality or editorial control.
Docgent's interface is designed for people. Underneath it is deliberately boring, durable technology.
Humans get a workspace. Agents get an interface. Both work on the same document.
Once a document has structure and history, Docgent can understand more than text. It can know that a key figure has reverted to an earlier value; a total no longer agrees with its components; a defined term has changed; a citation no longer supports a claim; a cross-reference points somewhere that no longer exists; an approved fact has unexpectedly changed.
These aren't generic AI proofreading tasks. They are checks made possible because Docgent understands the document itself.
Agents are becoming extraordinarily good at producing knowledge work. They need somewhere better than a conversation window to put it. Docgent is the document workspace for humans and AI agents — from first draft to final approval.
Documents produced by agents. Shaped by humans. Built to survive the process.