How it works

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The pipeline

Work enters DocMark through whichever door fits you — the web app, the REST API, your own AI assistant over MCP, or a watched folder on your own network. The REST API and MCP ship today in the self-managed options (on-prem and your own cloud tenant); on the DocMark-managed cloud they are in private preview, with the web app live now. From there, every job follows the same path.

Author. Your people write the content, or — where you allow it — AI does: outlines, drafts, charts, even cited web research. You choose per deployment option how much AI is involved, from none at all to fully agentic authoring.

Render and brand. This step is never AI. Deterministic, tested code turns the authored content into your deliverable, applying your committed brand specification — colors, fonts, logos, layouts. Pixels never come from a model, so the output is reproducible and on-brand by construction.

Verify. Before anything is delivered, every render passes a deterministic verification gate: every page is rendered and checked for blank or failed pages and legibility, and broken output is withheld with findings rather than delivered. This is the step most document generators skip.

When the gate says no

A deliverable that fails verification is withheld — you never receive it. Instead you (or the AI assistant that submitted the job) receive precise findings: what failed, where, and why. An AI caller can fix the content and resubmit in the same session; the loop continues until the deliverable passes or the caller stops.

What you get with every deliverable

• The verified document itself (deck, report, model, newsletter, or video).
• A confidentiality label (enterprise self-managed deployments) — its egress class, written by the pipeline, not by hand.
• A provenance record — exactly which version of your brand specification produced it.