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Solutions · For marketing teams

More content. Same voice.

We build AI content pipelines for marketing teams — from ideation to publish, with your brand voice encoded as guardrails and a human approving every word that goes out. Output scales. Quality doesn't slip.

  • Ideation
  • Drafting
  • Brand-voice guardrails
  • Human review gates
  • CMS publishing
Marketing editor reviewing an AI-assisted content draft on screen, with a publishing workflow visible

The pipeline

From brief to published, without the bottleneck.

Most teams use AI as a blank page. We build it as a production line — five stages, each one engineered, with humans holding the gates that matter.

Nothing publishes that a person hasn't approved. Nothing gets approved that the guardrails haven't checked. That's the whole philosophy.

Ideation

Topic generation driven by your briefs, your keywords, and what your audience already reads. Angles are scored and ranked — your team picks from a shortlist instead of staring at a blank doc.

Drafting

First drafts written in your voice, structured for your formats: blog posts, product pages, email, social. Structured outputs, not chat transcripts.

Brand-voice guardrails

Your style rules encoded as automated checks: tone, terminology, claims you never make, disclaimers you always include. The model can't drift because drift gets flagged.

Human review gates

Every piece lands in a review queue sized to your team. Approve, edit, or reject in one click. Nothing reaches your CMS without a person signing off.

CMS publishing

Approved pieces flow straight into your CMS — formatted, tagged, scheduled. No copy-paste, no re-uploading, no "wait, which version went live?"

A real pipeline

One run of a content pipeline.

What a weekly content batch looks like when the machinery is built right. The guardrail catch in the middle is the point.

content pipeline · weekly batch
$ seiko content run --batch weekly-38
[00:00] ideation 14 topics scored from brief + search data
[01:12] draft 6 posts drafted · voice match 94/100 against your corpus
[01:48] guardrails 5 passed · 1 flagged: unapproved claim in paragraph 3 → review queue
[02:03] format markdown → CMS blocks · tags + meta generated
[02:20] review 6 items awaiting human approval · queue link sent
[later] publish 5 approved → CMS · scheduled Tue 09:00 · 1 rejected by editor
5 pieces shipped. 1 rejected by a human. 0 published unreviewed.
$

The difference

Before Seiko. With Seiko.

The old way

Typical before

  • AI drafts that sound like everyone else's — then get fully rewritten
  • Brand voice drifting from post to post as different people prompt differently
  • Publishing bottlenecked on one person's weekends
  • No record of what was reviewed, changed, or approved
  • Content calendar that exists mostly as intentions
The new normal

With Seiko

  • First drafts that sound like you — because they're calibrated on your writing
  • Guardrails that catch off-brand claims before a human ever sees them
  • Every word reviewed by a person, tracked in a queue
  • Publishing scheduled weeks ahead, straight into your CMS
  • A full audit trail: draft, checks, reviewer, decision

What a pilot looks like

Six weeks. One content stream.

We don't start with your whole content operation. We start with one stream — say, the blog or the newsletter — and prove the pipeline there. Fixed scope, fixed price.

Weeks 1–2 · Voice calibration

We analyze your existing content, encode your style rules, and produce the first sample drafts. You red-pen them; the calibration learns.

Weeks 3–4 · Pipeline build

Ideation, drafting, guardrails, and review queues wired together and connected to your CMS. Test batches run end to end.

Weeks 5–6 · Live run + handover

Your team runs the pipeline with us shadowing, then solo. Training included. The stream keeps shipping after we step back.

Representative engagement shape — exact scope and timeline are set during the free audit.

Deliverables

What ships.

  • Content pipeline — configured for your formats and wired to your CMS.
  • Brand-voice rule set — versioned, editable, and checked on every draft.
  • Review queue — roles, approval workflows, and an audit trail for every piece.
  • Publishing automation — formatting, tagging, and scheduling handled by the pipeline.
  • Handover training — your team runs the pipeline solo, with documentation written for them.

FAQ

Asked before we start.

The calibration phase exists to prevent exactly that. Drafts are scored against your own published writing for voice match, and every piece passes through a human reviewer before it publishes. Generic output gets caught at the guardrail stage, not by your readers.

Your style rules — tone, terminology, banned phrases, claims you never make, disclaimers you always include — are encoded as automated checks that run on every draft. Violations route to the review queue instead of publishing. The rule set is versioned, so you can tighten or loosen it as your voice evolves.

WordPress, Webflow, and headless CMSs are routine. Anything with an API, we can wire up. If your CMS is unusual, we'll tell you during the audit whether integration is straightforward or needs custom work.

You do. Everything lives in your accounts and repositories — your CMS, your model keys, your code. We hand over full documentation and training, and nothing stops working if we walk away.

Sample drafts from the calibration phase land in week two of a pilot. A typical pilot runs six weeks, end to end. Fixed scope, fixed price — agreed before we start.

Free · 7 days · yours to keep

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