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You can do that with either managed Jetpack AI or the modular first-party WordPress AI plugin connected to a provider such as OpenAI, Anthropic, Google, Ollama or llama.cpp. The right choice depends on whether you value a simpler managed setup or provider portability and developer control.
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What “using AI in WordPress” means in 2026
AI in WordPress is not one feature or one chatbot. It is a stack of components that can help you create, organize, translate and maintain a site while leaving editorial responsibility with people.
- Editor assistance: Generate a first draft, rewrite selected text, change tone, correct spelling and grammar, suggest titles or produce a summary.
- Media and metadata: Create alt-text suggestions during image upload, classify content, suggest categories and generate SEO-friendly slugs.
- Site operations: Summarize large sets of posts, propose comment replies or perform approved actions through an agent connection.
- Developer automation: Expose tightly scoped WordPress capabilities through REST endpoints, the Abilities API and MCP-compatible tools.
AI output is a suggestion until a person checks its facts, links, tone, accessibility, translation and search metadata. WordPress can enforce that distinction through permissions and confirmation steps, but the workflow still has to be designed deliberately.
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The three-layer architecture
1. Feature plugin
The first-party WordPress AI plugin provides opt-in editorial and administration features. Version 1.3.0, released on August 18, 2026, lists content translation, SEO-friendly slug generation, custom Abilities behind an opt-in toggle and settings import/export. Earlier releases documented bulk summary generation and a Suggest Reply experiment for moderators.
Because these are experiments and opt-in capabilities, labels and behavior can change between plugin releases. Test them on a staging site before enabling them for every editor.
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2. Provider connection
In Settings > Connectors, install a connector for the provider you want and enter its API key once. Plugins that use the WordPress AI Client can reuse that stored connection. Switching providers therefore does not require re-entering credentials in every individual plugin.
Record which organization or account owns each key, who can rotate it and which sites are allowed to use it. Treat the key as a secret: do not paste it into post content, client-side JavaScript or support tickets.
3. Core capability layer
WordPress describes the AI Client as a provider-agnostic core component added in WordPress 7.0. The Abilities API, introduced in WordPress 6.9, provides a registry of capabilities that tools and agents can discover and call. Documented providers include OpenAI, Anthropic and Google, as well as local options such as Ollama and llama.cpp.
This separation matters. Your editorial plugin can call the same stored provider connection as another compatible plugin, while an Ability can expose one narrowly defined operation instead of granting an agent unrestricted administrator access.
Jetpack AI or the modular WordPress AI plugin?
Both approaches can support writing and site maintenance. They differ mainly in who manages the integration and how much control you have over providers and capabilities.
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| Decision point | Managed Jetpack AI | WordPress AI plugin plus connectors |
|---|---|---|
| Provider choice | Managed service experience; the available provider options depend on the product and connection settings. | Designed for provider choice through connectors, including documented hosted and local providers. |
| Credential setup | Configured through the Jetpack connection and its product settings. | Configured centrally at Settings > Connectors; compatible plugins reuse the saved connection. |
| Editor features | Jetpack AI documents text and image generation in the editor. | Feature plugin experiments include drafts, rewrites, summaries, alt text, taxonomy and slug suggestions, translation and moderator reply suggestions. |
| Read and write controls | Connections from ChatGPT, Claude, Claude Code and other MCP-compatible agents respect existing WordPress permissions. Read and write access can be separated, and writes wait for confirmation. | Controls depend on the connector and the plugin or Ability you enable. Build granular capabilities and keep write operations opt-in. |
| Auditability | Jetpack documents an activity log for agent actions and restoration through Jetpack Backup. | Use your existing revision history, backups and any plugin-specific logs; verify that your chosen connector records enough detail for review. |
| Multi-site administration | Centralized managed connections can simplify a fleet, but check how settings and permissions apply to each site. | Settings import/export in version 1.3.0 can help standardize configuration, while keys and permissions still need site-by-site governance. |
| Developer extensibility | Use documented agent connections and available actions. | Extend through REST endpoints, Abilities and MCP, with code-level permission checks. |
| Published pricing example | The current product page lists a free tier with 20 requests and a paid plan shown at $4.95 per month for the first year when billed yearly; renewal is at the full price. Pricing is volatile and should be checked before purchase. | No single price applies: connector, provider and model charges vary. |
Choose managed Jetpack AI when you want a shorter setup path and integrated agent controls. Choose the modular stack when portability, local models, custom capabilities or independent provider changes are more important than a single managed interface.
Set up the modular WordPress AI stack
- Confirm prerequisites. Update WordPress and the feature plugin on a staging copy first. Confirm that your hosting plan permits outbound API requests and that your user role can manage plugins and connectors.
- Install the first-party AI plugin. Activate it, open its settings and leave experimental features disabled until you understand their scope.
- Open Settings > Connectors. Install the connector for your chosen provider and enter the API key. Use a key owned by the organization that will maintain the site, not an employee’s personal account.
- Set model and usage limits. Apply the provider’s spending limits, allowed models and data-retention settings. Local providers can reduce external data transfer, but they still require server capacity and maintenance.
- Run a read-only test. Ask for a summary of one non-sensitive post or a proposed title. Check the response, logs and any usage meter before enabling write actions.
- Enable only the features you need. Turn on translation, slug suggestions, custom Abilities or other experiments individually. Document who may use each one.
- Test failure recovery. Confirm that revisions, backups and connector error messages give you a way to undo a bad result or revoke a key.
Use AI for drafting and revision without surrendering editorial control
Create a first draft
Give the assistant a clear brief inside the editor: audience, purpose, required facts, structure, reading level and prohibited claims. Generate a draft in sections rather than asking for a complete article when accuracy matters. Check every factual statement against your source material before publication.
Rewrite selected passages
Select the smallest useful block and request one change at a time—plain language, a shorter introduction, a warmer tone, spelling correction or a clearer transition. Keeping the selection narrow makes it easier to compare revisions and preserves surrounding context.
Generate titles and summaries
Ask for several title options, then choose one that accurately describes the page. Use the summary as an editing aid, not as proof that the article is complete. For long sites, the feature plugin can generate summaries in bulk for posts and pages; run that operation in batches and inspect a sample from every content type.
Use AI-generated images carefully
Jetpack AI documents text and image generation in the editor. Before inserting an image, check licensing terms, factual details, visual stereotypes and whether the image communicates information that should instead be written as text. Keep the prompt and approval decision in your content notes when the image is important to the page.
Improve accessibility and metadata during publishing
Alt text during upload
The AI plugin workflow described by Learn WordPress can generate alt-text suggestions while an image is uploaded. Verify the suggestion against the image’s purpose: describe meaningful content, omit decorative details and do not repeat a caption that already conveys the same information. A human must decide whether an image is decorative and should have empty alt text.
Categories and tags
Use categorization as a recommendation. Define a short taxonomy policy first—what each category means, when a tag is justified and which terms are forbidden—then accept, edit or reject the suggestion. Automatic tagging can create duplicates and dilute navigation.
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SEO-friendly slugs
Review a proposed slug for accuracy, length, language, existing redirects and sensitive terms. Do not change a published slug merely because an AI suggestion is shorter; a redirect and a clear reason are required when a URL must change.
Translate posts and maintain multilingual content
Version 1.3.0 of the WordPress AI plugin describes an experiment that translates paragraph and heading blocks and can optionally translate the post title. Treat this as a first pass, especially for legal, medical, financial or culturally sensitive material.
- Duplicate or otherwise preserve the original language version.
- Translate a small section and compare terminology with your site’s glossary.
- Check headings, links, numbers, units, names, placeholders and embedded HTML.
- Have a fluent reviewer check idioms, tone and regional conventions.
- Verify language metadata, navigation, hreflang implementation and search snippets before publishing.
Moderate comments with suggested replies
The 1.2.0 changelog documents a Suggest Reply experiment for moderators. Use it to prepare a response, not to auto-publish one. A moderator should check whether the comment needs escalation, whether the suggested answer discloses private information and whether the tone matches your community rules. Keep a human in the loop for harassment, threats, self-harm disclosures, legal complaints and disputes about account access.
Connect an agent to operate the site
Jetpack AI documents connections from ChatGPT, Claude, Claude Code and other MCP-compatible agents. The connection inherits existing WordPress permissions; read and write access are separate toggles, access can be limited per site and per action, writes wait for confirmation, and actions are recorded in an activity log.
Recommended rollout
- Create a dedicated WordPress user for the connection with the least privilege needed.
- Enable read-only access first. Ask the agent to list drafts, summarize a post or identify missing alt text.
- Enable one write action, such as updating a draft excerpt, and require confirmation for every change.
- Review the activity log and the resulting revision. Confirm that the agent cannot reach unrelated sites or settings.
- Expand the action set only after several successful, reversible tests.
Never treat an agent’s natural-language explanation as an audit record. The log, WordPress revisions and your backup are the authoritative trail.
Developer workflow: Abilities, REST and MCP
For custom integrations, expose a small server-side function rather than a general-purpose prompt endpoint. Validate input, check the current user’s capability, constrain which post types and fields can be changed and return a structured result.
The Abilities API gives WordPress a registry for discoverable capabilities. REST endpoints can provide the transport, while MCP can let compatible agents discover and invoke approved operations. For plugin developers, WordPress.org’s MCP server can validate plugin readmes, retrieve review status and submit plugins.
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Submission remains a human responsibility: the developer handbook states, “You must review every change your AI assistant makes before submitting your plugin.” Apply the same rule to generated code, readme edits, permission checks, database migrations and release notes.
Minimum safeguards for a custom Ability
- Use server-side authentication and nonce or equivalent request validation.
- Check granular capabilities for the exact post, site or setting being touched.
- Allow-list fields and operations; reject unknown arguments.
- Return a dry-run or preview where a change could affect many records.
- Write an audit entry containing the actor, timestamp, object, old value and new value where appropriate.
- Make bulk operations idempotent and provide a rollback path.
A safe operating procedure for AI changes
- Document ownership. Record which provider account owns the key, who can rotate it and where the connection is used.
- Start with low-risk work. Summaries, titles, alt text and classifications are easier to review than direct publication or deletion.
- Review six things. Check facts, links, tone, accessibility, translations and SEO slugs before approval.
- Constrain permissions. Separate read and write access, use confirmation gates and limit actions to the smallest useful scope.
- Back up before bulk edits. Keep a tested restoration path. Jetpack documents restoration through Jetpack Backup; other stacks should provide an equivalent backup and revision process.
- Sample bulk output. Inspect records from each post type, author group and language before accepting the entire batch.
- Revoke quickly. Disable the connector or user account when a key is exposed, a plugin is retired or an agent behaves unexpectedly.
Common failure modes and fixes
The connector cannot authenticate
Recheck the provider key, account limits, server time and outbound HTTPS access. Replace a key that has been pasted into logs or public code. If multiple plugins fail at once, test the central connector before changing each plugin.
Output is plausible but wrong
Reduce the task, provide authoritative context and require citations or links inside the draft where your editorial process supports them. Treat fluent wording as a formatting result, not evidence.
A bulk operation changes too much
Stop the job, preserve logs and revisions, restore from the last verified backup if needed, then rerun on a small batch with an explicit allow-list. Do not attempt to repair thousands of records with another unreviewed prompt.
An agent requests administrator access
Decline and redesign the integration. Create a dedicated account and expose only the read or write action required. If a feature cannot work without broad privileges, keep it disabled until the vendor documents a narrower permission model.
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Translations damage formatting
Translate block by block, inspect links and inline markup, and compare the rendered page—not only the editor text—before approval.
Costs, versions and capacity planning
Jetpack’s product page, accessed October 14, 2026, lists 20 requests on its free tier. It also shows a paid plan at $4.95 per month for the first year when billed yearly, with renewal at the full price. Those figures are time-sensitive and may vary by region, tax and promotion; verify the current offer before purchase.
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The modular approach has no universal total. Budget for the WordPress plugin, provider API usage, model choice, hosting capacity and maintenance. Local providers such as Ollama or llama.cpp can keep inference on infrastructure you control, but the server still needs enough CPU, memory and storage and someone must patch and monitor it.
For a small site, begin with a low-volume connector and measure requests per published page. For a multisite network, standardize settings with import/export where appropriate, but keep keys, user roles, data-retention rules and approval ownership explicit for every site.
Practical decision checklist
- Do you need a managed editor and agent experience, or provider portability?
- Will prompts contain personal, confidential or unpublished information?
- Can every proposed write be previewed, confirmed and reversed?
- Who reviews facts, links, accessibility, translations and metadata?
- Is there a tested backup and a log that identifies the actor and change?
- For custom code, are REST endpoints and Abilities protected by granular server-side checks?
- Can you disable one connector or action without taking the whole site offline?
Answer those questions before enabling automation. The most reliable WordPress AI workflow is incremental: connect one provider, automate one reviewable task, measure the result and widen the scope only when the rollback and approval process works.
Frequently Asked Questions
Can AI publish WordPress posts without a human?
It can be technically connected to write-capable actions, but a safer configuration requires confirmation before writes and a human review of facts, links, tone, accessibility, translations and SEO metadata.
Where should a WordPress AI API key be stored?
Store it in the provider connector under Settings > Connectors, restrict who can manage that connection and document the owning account. Never expose the key in browser code or post content.
Are local models supported?
WordPress documentation names Ollama and llama.cpp as local-provider options. Their feasibility depends on your server’s hardware, hosting policy and maintenance capacity.
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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteWhat should developers review before submitting an AI-assisted plugin?
Review every generated change, including code, readmes, permission checks, database operations and release notes. Test the plugin on a staging site and verify its server-side capability checks.
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