A practical guide to connect WordPress with a Django backend using signed webhooks, idempotency, retries, and a queue. Includes endpoint design, auth patterns, and production hardening tips.
A step-by-step build of a maintainable WordPress support agent that can answer product questions, check orders, and create tickets. Covers Brain + Hands separation, secure tool calls, memory, retries, deployment as a WP plugin, and production monitoring.
Build a secure, low-latency AI chat inside WordPress. This post shows a production-ready plugin with streaming responses, front-end nonce auth, Redis-backed rate limits, and provider key isolation.
End-to-end tutorial to generate AI-written WordPress drafts via a secure Django API with Celery workers. Includes code, background jobs, retries, and content sanitization for production.
How to implement an AI-powered support inbox that classifies, routes, drafts replies, and learns from outcomes. Includes architecture, guardrails, cost controls, and a real ROI model.
We upgraded our agent execution stack to cut latency, harden security, and improve traceability. Expect faster task completion, sandboxed tools, and full OpenTelemetry traces across services.
A deployable event analytics pipeline that supports sub-second queries, deduped events, rollups, and business-data enrichment. This guide covers schema design, ingestion, transformations, dashboards, monitoring, and cost control.
A production-ready pattern for handling AI provider webhooks with signature verification, idempotency, retries, and safe delivery into WordPress. Uses Django as the ingress layer, Celery/Redis for async processing, and WordPress REST for persistence.
A practical blueprint for deploying a real support chatbot on WordPress. Includes Brain + Hands design, tool wiring, memory, orchestration, guardrails, and a minimal FastAPI + Celery + pgvector stack.
A production-ready pattern to call LLM APIs from WordPress without exposing API keys. Includes a minimal plugin, rate limiting, response caching, and a safe front-end integration.