AI that actually integrates into WordPress, not just sits on top of it.
Most WordPress AI projects are bolt-on features that break the moment edge cases hit. I build AI that works inside your existing WordPress architecture: content pipelines, WooCommerce workflows, editorial systems, and custom plugin logic that runs reliably in production.
Why most WordPress AI projects fail.
After 25 years in WordPress infrastructure and two years integrating AI into production environments, the failure patterns aren't random. They're predictable, and preventable.
They start with the plugin, not the architecture.
Most teams install an AI plugin, connect an API key, and call it done. When it breaks, and it breaks, there's no architecture to debug, no observability to trace failures, and no one who understands what the system is actually doing.
The AI runs but doesn't connect to anything that matters.
A chatbot that answers generic questions is not WordPress AI integration. Real integration means the AI reads from your WooCommerce product catalog, writes to your CMS, triggers on order events, and acts inside existing business workflows.
Nobody planned for the WordPress context window.
WordPress sites have complex data structures: post meta, custom taxonomies, WooCommerce schemas, ACF fields. Stuffing all of that into an LLM prompt without a proper retrieval strategy leads to truncated context, missed data, and confused outputs.
Content automation without editorial guardrails.
Publishers and content teams rush to automate generation, then discover that unconstrained LLM output doesn't match their brand voice, their editorial standards, or their SEO requirements. Automation without constraint is a liability.
No plan for when WordPress updates break the integration.
WordPress, WooCommerce, and plugins update constantly. AI integrations built without version-aware architecture and proper abstraction layers become maintenance nightmares after the first major update.
The implementation mistakes I see most.
These aren't theoretical, they're patterns I've diagnosed in real WordPress AI projects. Each one is fixable, but they're much easier to prevent than to remediate.
✗Using the OpenAI API directly in PHP functions
Direct API calls in WordPress hooks with no error handling, no retry logic, and no timeout configuration. When the API goes down, your site throws PHP errors in production.
✗Storing AI outputs without validation
LLM-generated content written directly to the database without type checking, format validation, or content policies. One bad batch run can corrupt hundreds of posts.
✗Ignoring the cost model
Deploying AI features with no token budget, no caching layer, and no usage monitoring. The first time a bulk operation runs against your full product catalog, you get a very unexpected invoice.
✗Blocking requests on the main thread
Synchronous AI calls inside WooCommerce checkout or post-save hooks freeze the UI and time out on large payloads. AI calls in WordPress need to be async by default.
✗Skipping the data layer entirely
Feeding raw WordPress post content into an LLM without a structured retrieval layer. The result is context drift, irrelevant outputs, and a system that degrades as your content library grows.
✗No logging, no visibility
AI features deployed with no logging, no monitoring, and no way to trace what the system did when something goes wrong. You find out from users, not from your own observability.
Real WordPress AI problems, solved at the architecture level.
The work is architecture decisions: the difference between an AI feature that works and one that erodes trust every time it misfires.
Content pipelines that actually run
End-to-end AI content pipelines integrated into the WordPress editorial workflow, drafting, editing, SEO optimization, scheduling, built to run reliably at the scale your publishing operation needs.
WooCommerce AI that understands your catalog
Product descriptions, recommendation logic, customer support automation, and order-based workflows that are grounded in your actual WooCommerce data, not generic LLM guesses.
Reliable plugin architecture
Custom WordPress plugin design with proper abstraction layers, async job queues, error handling, and update safety, so the AI layer survives WordPress and WooCommerce version changes.
RAG for WordPress content
Retrieval-Augmented Generation built on your WordPress content library: embeddings, vector search, context assembly, so the AI answers from your actual knowledge base, not hallucinations.
Editorial AI with guardrails
AI writing assistance that enforces your brand voice, editorial standards, and content policies, with human review gates at the right points in the workflow.
n8n and automation stack integration
AI-powered automation workflows that connect WordPress to your CRM, email platform, analytics stack, and business tools, reliable, documented, and maintainable.
How we can work together.
Every engagement starts with understanding your WordPress environment and your actual business problem, not your wishlist of AI features.
WordPress AI Readiness Assessment
A structured audit of your WordPress environment for AI integration: your current plugin stack, data architecture, hosting constraints, content structure, and workflow gaps. You get a written report with a prioritized implementation roadmap, no fluff, no vendor recommendations I profit from.
- →WordPress and WooCommerce architecture audit
- →AI integration feasibility analysis
- →Written roadmap with prioritized recommendations
- →Risk and constraint identification
- →One follow-up session to review findings
Custom AI Feature Build
Hands-on design and implementation of a production AI feature for your WordPress or WooCommerce platform: content pipeline, product intelligence, customer support automation, editorial assistant, or custom RAG system.
- →Architecture design and documentation
- →Custom WordPress plugin or integration build
- →Async job queue and error handling setup
- →Monitoring and observability basics
- →Full handover with operational documentation
Fractional Technical Lead — WordPress + AI
Ongoing embedded guidance for agencies and product teams: architecture reviews, implementation oversight, AI vendor evaluation, and senior technical decision-making, without a full-time hire.
- →Weekly architecture reviews
- →Async availability for technical decisions
- →Code and design review for AI integrations
- →Team upskilling and documentation sessions
AI Integration Rescue
Your WordPress AI project is broken, fragile, or underperforming. I diagnose what went wrong, separate plugin-level problems from architectural ones, and deliver a clear remediation plan.
- →Root cause analysis and written diagnosis
- →Immediate stabilization recommendations
- →Prioritized remediation roadmap
- →Optional hands-on remediation engagement
Architecture before implementation.
Every WordPress AI integration I build follows the same discipline: understand the data, design the integration layer, handle the failure cases, then write the code. The sequence matters.
Data & Context Mapping
Before touching an API, I map your WordPress data structures: post types, taxonomies, meta fields, WooCommerce schemas, user roles, and content relationships. The AI is only as good as the context it receives.
Integration Layer Design
I design the abstraction layer between WordPress and the AI: async job queues, webhook handlers, caching strategy, and API error handling. This layer is what makes the integration survive real-world conditions.
Constraint & Guardrail Definition
I define what the AI is allowed to do, where human review is required, how outputs are validated, and what happens when the AI is wrong. Unconstrained AI in production WordPress is a trust risk.
Build, Test, Document
Implementation with proper error states, logging, and observability. Every integration is documented as a deliverable: how it works, how to monitor it, how to extend it, how to shut it down safely if needed.
I work async-first from São Paulo (UTC-3). Structured written updates, not daily standups. You always know what's in progress and when it delivers.
Read: How I Work →WordPress AI systems that shipped and survived.
My own AI WordPress plugin has 3,000+ active installations and has run millions of content generation requests. These aren't projected numbers, they're production metrics.
Selected work
“Paulo has outstanding skills to organize and communicate demands in situations that seem absolutely chaotic. He has a lot of technical knowledge and is able to communicate efficiently with both technical and lay people.”
“Paulo is a great sysadmin. Every website and blog that Paulo has taken care of never crashed, even during traffic spikes with thousands of visits. The main reason for keeping him was not just his technical competence, but the fact that he is one of the most reliable people I've met in my entire life.”
Companies I've worked with
Recognition & publications
- ▸1st Place — ByteDance Global Coze AI Challenge (2024)
- ▸Technical book on networking published, 4.6 stars on Amazon
- ▸17,000+ developer followers on Dev.to
- ▸Lead writer at Brazil's largest tech publication (4 years)
- ▸Featured in Revista Locaweb
Common questions.
What does WordPress AI integration actually mean?
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Can't we just use a plugin for this?
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How do you handle the WordPress update problem?
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We have a large content library. Can AI actually use it?
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What does a WooCommerce AI consultant actually do?
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How do you handle AI cost management in WordPress?
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Do you work with agencies or only direct clients?
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What hosting environments are compatible with WordPress AI integrations?
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Your WordPress platform can do more than it's doing.
If you're running a serious WordPress or WooCommerce operation and need AI that actually integrates, start with a conversation about your environment and your goals.
No sales pitch. No prepackaged solutions. You explain your setup; I tell you what makes sense.