AG Digitalz field guide

AI content needs sources, review, and a point of view.

A useful AI content engine turns customer questions, news, docs, offers, and case notes into educational posts that explain what businesses should do next.

By AG DigitalzPublished Updated
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What it does

AI content

The valuable part is not reposting AI news. It is translating the update into a practical business action with sources and AG Digitalz thinking.

Stack to use

Recommended setup

  • Topic library
  • Source links
  • Supabase learning_posts table
  • Scheduled Netlify Function
  • AI drafting provider
  • Human review queue
  • Newsletter and RSS
Common mistakes

What to avoid

  • Publishing AI drafts with no review.
  • No original point of view.
  • No source links.
  • Too many generic posts.
  • No connection to the service offer.

Implementation

Build the workflow step by step.

Connect the smallest useful flow first, make ownership clear, then measure it before expanding.

01

Step 1

Build a topic list from real customer questions.

02

Step 2

Attach reliable sources to every technical or news claim.

03

Step 3

Generate a daily tip or weekly draft.

04

Step 4

Add AG Digitalz thoughts and business action steps.

05

Step 5

Review before publishing.

06

Step 6

Send new posts to newsletter/RSS.

07

Step 7

Track which posts drive audit or system interest.

Primary sources

Official documentation behind this guide.

Use these sources to verify capabilities, limits, and setup details before putting a workflow into production.

Official source

Supabase docs

Reference documentation used for this AG Digitalz field guide.

Open source
Official source

Netlify scheduled functions

Reference documentation used for this AG Digitalz field guide.

Open source
Official source

OpenAI API docs

Reference documentation used for this AG Digitalz field guide.

Open source