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A CONTENT DESK RUN BY SIX WORKFLOWS.

Blog Agent 3: AI Copywriter

A publish-ready draft, and a quality gate it has to pass first.

Starts
Polls every 5 minutes
Size
11 nodes · 11 connections
Tools
Anthropic Claude, Baserow
Category
AI Agents · complex
Status
Built and run, currently paused
blog-agent-3-copywriter.jsonn8n canvas

Drawn by n8n's own canvas from the workflow file, synced 2026-09-29. Click it to pan and zoom. Node settings, credentials, prompts and IDs are removed; names, layout and wiring are exactly as built.

Part 1 The problemWhy teams need this

01 · THE PROBLEM

Automated writing is great right up until a half-finished article goes live under your name. The gate turns that silent failure into a status someone can see and fix.

Part 2 How it worksWhat it does, step by step

02 · WHAT IT DOES

It takes the brief and the research and writes the full article. Before anything moves forward, the draft has to clear a quality gate on length and structure. A draft that falls short is stopped and flagged, never published.

03 · HOW IT RUNS

Step by step, as built.

  1. Find and lock

    Picks up one post whose research is complete and locks it.

  2. Write

    Claude writes the article from the brief and the research.

  3. Quality gate

    An IF node checks length and required fields before anything is saved as done.

  4. Save or mark failed

    Passing drafts move to the designer; failing ones stop with a clear status.

04 · TOOLS AND APPS

Built around the systems already in the process.

Anthropic ClaudeTrigger or source
BaserowDestination or delivery

05 · WHEN SOMETHING BREAKS

Failure is designed in.

  • 1node has its own error branch, so a failure is routed and handled, not just logged.
  • 2decision points (IF or Switch) check the data before it moves on.

Standard on every build

  • Schema validation before downstream writes
  • Retry and error routes for external API failures
  • Duplicate-safe processing and idempotent updates
  • Human approval where the action carries business risk
  • Execution logging for support and audit review

Part 3 The impactWhat it's worth, and how we'd build yours

06 · PROJECTED IMPACT

What it should change in the business.

012,000–3,000 word articlesProjected
02SEO-optimised structureProjected
03Consistent brand voiceProjected

Projections for a typical deployment. The calculation below shows the math, and you can put in your own numbers.

07 · ROI CALCULATION

How it pays back in your business.

The starting numbers are a hypothetical deployment sized to the projections above. Change any of them to your own volumes and costs, and the math updates underneath.

Projected net value per year$16,980432 hours back per year
Full-time equivalent freed
0.2 people
Gross value
$17,280
Running cost
−$300
Return per $1 of running cost
$57.6

The math: 8 first drafts × 360 min × 12 months × 75% ÷ 60 = 432 hours a year × $40/hour = $17,280. Net value = gross value − $300 running cost a year.

08 · HOW WE'D BUILD YOURS

How we'd build yours.

  1. Discover: map the current process, systems, volumes, owners and exceptions.
  2. Design: define the canonical data model, approvals, retries and system boundaries.
  3. Build: implement credentials, nodes, validation and observable error routes.
  4. Prove: run controlled data through success, duplicate and failure scenarios.
  5. Operate: publish runbooks, ownership and measurable service levels.

SAME SYSTEM

A content desk run by six workflows.

Five agents hand a blog post down a line, each one polling for work in its own state and passing it on: keyword, research, copy, cover image, publish. A sixth drafts the weekly newsletter and waits for approval by email.

YOUR VERSION

Want this, wired to your tools?

Tell us what the process looks like today: the systems, the volumes, the step everyone hates. We'll come back with the n8n version and where a person stays in charge.

Start a project Back to all workflows