Automatically tag and categorize new blog posts with AI

Scans your GitHub blog repository for new posts and has AI suggest categories and tags for each one.

How the work actually flows

A straight line. Runs once per one per new blog post.

Pattern: Sequence (1) ยท Multiple Instances without Synchronization (12)

flowchart TD trig(("you start the tagging process")):::human s0[("find new posts vs log")]:::store s1[["pull each new post content"]]:::mi s2["ai suggests tags and categories"]:::task s3[("log suggestions for review")]:::store trig --> s0 s0 -->|"one per one per new blog post"| s1 s1 --> s2 s2 --> s3 out[/"suggested tags logged for review"/]:::out pay{{"consistent tagging without manual effort"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepRuns once per itemA personA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsContent Generation & CopywritingSpreadsheet & Database OpsSurvey & FeedbackDevOps & IT Operations
Connects
GitHubGoogle SheetsOpenAI

The problem it solves

Tagging and categorizing every new blog post consistently is easy to skip when you're busy writing, but it hurts your site's organization and search visibility over time. Going back to fix inconsistent tags later is a slog.

Who it fits

Content teams and developers managing a Markdown-based blog who want consistent, AI-assisted tagging.

How it works

  1. You start the process, and the system compares your GitHub repository against a Google Sheets log to find new posts
  2. It pulls the content of each new article
  3. AI reads each post and suggests categories and tags based on the topic
  4. The suggestions are logged in Google Sheets alongside the existing tags for review
What you get

Tag suggestions ready for a quick check

Every new blog post gets suggested categories and tags waiting for you in a spreadsheet, ready for a quick look.

What you get

A Google Sheets log of suggested categories and tags for each new blog post, ready for review.

What you need

A GitHub account, a Google Sheets account, and an OpenAI API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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