BV
Workflow Automation

Research → draft → review → publish

Topic research, AI drafting against a brand voice prompt, human review, then publishing to the CMS on a schedule.

Industry · SaaSClient · StartupTimeline · 3 weeksStatus · Production
ClaudeMakeAirtableWordPressPython
The challenge

What wasn't working

01

Editorial team spent more time formatting and scheduling than actually writing.

02

Brand voice drifted between contributors, requiring heavy edits before publish.

Objectives

What we needed to be true

Cut research and formatting time by 70%.

Enforce brand voice with an AI editor pass before human review.

Publish on schedule directly to WordPress without manual copy-paste.

The solution

How it was built

Step 01

Research collection

Structured research briefs land in Airtable; sources, angles, and target keyword captured up front.

01
Step 02

AI drafting

Claude drafts against a strict brand-voice prompt and outline; a second pass edits for tone and clarity.

02
Step 03

Human review & publish

Editors review in Airtable, approve, and the pipeline pushes to WordPress via the REST API on the scheduled date.

03
System architecture

How the pieces connect

Node 01
Airtable Brief
Node 02
Make Scenario
Node 03
Claude Draft
Node 04
Editor Review
Node 05
WordPress API
Technology

Stack

Claude
Make
Airtable
WordPress
Python
Results

Business impact

0×
editorial output
0%
less formatting work
0
missed publish dates
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Reflection

Lessons learned

AI drafts are 60% of the way there — the pipeline value is in the boring plumbing around review and scheduling.

FAQ

Common questions

Always. The AI produces the first draft; a human editor is the final approver before publish.
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