Task automation

Turn “I should do this later” into “it’s already done.”

Why automate?

Your site doesn’t have to wait on you. With automation, WordPress reacts to events, schedules, and data — generating content, updating media, translating, or replying to users while you sleep. Think “If this… then AI does that,” fully integrated with your familiar WP backend.

Automation gives you consistency at scale (every task done the same way, every time), slashes manual busywork, and reduces human error on repetitive steps. It frees your team to focus on strategy and creative work instead of chasing checklists. Most importantly, it turns best practices into repeatable workflows—so when something works once, it works a thousand times with the same quality bar.

What can it do?

  • Content ops: draft posts from briefs, refresh aging articles, write meta titles/descriptions, generate excerpts.

  • Media ops: suggest/attach images, create captions/alt text, embed matching videos.

  • Commerce: regenerate product descriptions, upsell blocks, FAQ snippets from support logs.

  • Support: route questions to an AI assistant first; escalate when needed.

  • Globalization: queue content for translation (human or API) when a post hits “Published.”

How it works (at a glance)

  1. Trigger — something happens (new post, schedule tick, webhook, form submit).

  2. Rules — your conditions (category = “News”, age > 90 days, language = EN).

  3. Actions — call your chosen AI (ChatGPT, Gemini, Claude) and do something with the result (create draft, update meta, comment on post, reply in chat).

You choose the model per rule. The plugin abstracts API details so you don’t have to.

Quick start (5 minutes)

  1. Install & activate the plugin, then go to Settings › AI Integration.

  2. Connect a model in API Settings (OpenAI, Gemini, Claude). Test the connection.

  3. Open Automation Rules › New Rule.

  4. Pick a Trigger (e.g., “Post Published”).

  5. Add a Condition (e.g., Category = “Guides”).

  6. Choose an Action (e.g., “Generate SEO metadata” + “Suggest 2 images”). Save.

1) Evergreen refresher (set-and-forget)

  • Trigger: Every Monday, 07:00

  • Condition: Post age ≥ 120 days, traffic ↓ last 30 days

  • Actions:

    • Ask AI to propose a refreshed intro + 3 updated facts

    • Replace excerpt; add “Updated on {{date}}” note; set status to Draft for review

  • Bonus: Queue for translation after update.

2) New post → media & SEO booster

  • Trigger: When a post is first saved as Draft

  • Actions:

    • Generate title alternatives (5) + meta description

    • Suggest 3 images with alt text; insert best match into featured image slot

    • Create social preview text (X/LinkedIn) and add to post meta.

3) Product refresh at scale

  • Trigger: Weekly, per product category

  • Actions:

    • Regenerate short/long descriptions from attributes

    • Create 5 Q&A items for product FAQ block.

4) Smart support handoff

  • Trigger: New comment with a question

  • Actions:

    • Draft an empathetic reply; if confidence < threshold, flag for human review.

Under the hood (for devs)

  • API abstraction layer for OpenAI / Gemini / Claude with secure key storage, rate-limit handling, and JSON payload helpers.

  • Rule engine maps triggers/conditions to actions; uses WP Cron + webhooks.

  • WP-native actions: create/update posts, media, taxonomies, comments, custom fields.

  • Preview & diff: see what the AI will change before it’s applied.

  • Audit log: who/what/when for every automation run (great for rollbacks).

  • Extensibility: hooks/filters to inject custom prompts, validate outputs, or chain actions.

Prompt patterns that work

  • “Summarize-then-rewrite” for updates: “Summarize this post in 5 bullets, list stale facts, then rewrite the intro with current data and neutral tone.”

  • “Structure-first” for new drafts: “Create H2/H3 outline for {{topic}}, include FAQs, then write a 700-word draft matching this outline.”

  • “Guardrails-on” for compliance: “When uncertain, leave a placeholder like [[verify-source]]. Never invent dates or prices.”

Choose the model that fits the job: ChatGPT for fluent drafting, Gemini for data-rich/context-aware content, Claude for careful tone/guardrails.

Best practices

  • Start with drafts. Let editors approve early runs.

  • Keep prompts short + specific. Add style notes and target audience.

  • Version prompts. Treat them like code; change one thing at a time.

  • Watch costs & limits. Batch long jobs; cache reused prompts.

  • Respect media rights. Use licensed sources; rely on built-in checks.

Roadmap highlights for automation

  • Bulk rule runner with progress UI

  • Multi-model fallbacks per action

  • Human-in-the-loop queues for legal/medical niches

  • KPI widgets: “content refreshed,” “tickets auto-resolved,” “images suggested” (See the main roadmap for timing.)

FAQ

Is this safe to enable on a live site? Yes, when you start with Draft-only actions, review via diffs, and enable the audit log. Flip to Auto-publish per rule as confidence grows.

Which AI should I choose?

  • ChatGPT: versatile, fast, great prose.

  • Gemini: up-to-date, context-aware, strong for fact-heavy content.

  • Claude: careful tone, helpful/honest/harmless defaults.

Can I chain actions? Yes — e.g., “Generate draft → suggest images → write social copy → queue translation.” Each step runs with its own prompt and safeguards.

What about pricing? The plugin itself is free; API usage depends on your chosen model/provider. Monitor usage in the dashboard and set limits.

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