A production-ready pattern to ingest third-party webhooks in Django, verify signatures, normalize events, and push safe updates into WordPress. Includes architecture, code snippets, retry logic, and observability.
A concrete, deployable pattern for a production support chatbot using a Brain + Hands architecture. Includes tool design, RAG, orchestration, error handling, and a WordPress front-end powered by a Django backend.
Don’t call AI APIs inside the WordPress request cycle. Offload, verify, and deliver results asynchronously with a small, testable plugin pattern. This post shows the architecture, schema, endpoints, security, and performance tuning needed to run AI at scale in WordPress.
Build a real document QA system for WordPress. We’ll ingest uploads via a secure webhook, chunk and embed to Postgres/pgvector, expose a FastAPI RAG endpoint, and add a lightweight shortcode chat widget. Includes schema, code, and deployment notes.
A production blueprint for turning unstructured inbound emails into routed, SLA-tracked work. Includes architecture, prompts, edge-case handling, cost controls, and measurable ROI.
We shipped Agent Orchestrator v0.6, a secure API proxy, and a faster WordPress AI queue. Expect lower latency, safer key management, and better observability across deployments.
Ship a low-latency, cost-efficient pipeline for tracking AI agent runs, latencies, token spend, and errors. This guide shows a deployable path: OpenTelemetry Collector → Kafka → ClickHouse → Metabase, with schema, configs, and dashboard queries.
Build a production-grade bridge from WordPress to a Django backend to run AI automations safely. Covers authentication, payload validation, idempotency, queuing, retries, and monitoring with practical snippets and deployment notes.
A step-by-step blueprint for a deployable customer support agent that runs on WordPress, orchestrated by a Django backend. Covers Brain + Hands separation, tools, RAG memory, fallbacks, logging, evals, and deployment.
How to implement a secure, scalable WordPress REST endpoint that proxies to external AI APIs without exposing keys. Includes caching, rate limiting, retries, webhooks, and logging—all deployable as a plugin.