Fix Japanese PR Times Press Releases with n8n Rules & OpenAI

Fix Japanese PR Times press releases automatically—using n8n rules + OpenAI

This n8n workflow takes a Japanese press release draft submitted through an n8n form, checks it against your PR formatting rules (stored in an n8n Data Table), and then uses OpenAI to rewrite the title, subtitle, and body to comply—followed by a second OpenAI verification.

What this workflow does

• Collects draft content: Receives a press release title, subtitle, and body from an n8n form submission.
• Loads rule checks from a Data Table: Reads all checks from the pr_release_rules n8n Data Table (columns: rule, target, check_type, value, advice) and compiles them into a single rules list.
• Evaluates the draft: Compares the draft against rules such as length limits and keyword-based flags, producing detailed per-field findings and advice.
• Generates corrected PR content: Sends the rules, findings, and original draft to OpenAI to produce a corrected title, subtitle, body, and a list of changes.
• Verifies compliance: Runs a second OpenAI review and returns a pass/fail result with remaining issues and a reviewer note.
• Shows results: Displays the original findings, corrected draft, change list, and the second-review outcomes on a completion/results page.

Use cases

• Standardizing Japanese press releases for PR Times formatting before publishing.
• Enforcing consistent subtitle length and disallowed wording using rule-based checks.
• Turning internal content guidelines into an automated n8n + OpenAI compliance workflow for SaaS ops or PR teams.

Technical details

• Integrates n8n Form for input collection and renders completion on a results page.
• Uses an n8n Data Table named pr_release_rules to store and manage all rule checks.
• Runs logic with nodes including Set and Code, and processes data using Split out and Aggregate.
• Uses OpenAI Chat Model twice: rewrite pass + verification pass.

Setup is straightforward: add your OpenAI credential, select a chat model in the OpenAI Chat Model node, populate pr_release_rules, then test via the form trigger URL and adjust rules as needed.