A production-ready email triage system that classifies, drafts, and routes messages across Gmail/Outlook, Slack, and your CRM. Real architecture, costs, and rollout steps—designed to be deployed in a week.
We upgraded our automation runtime to an event-driven pipeline with durable state, first-class retries, and built-in observability. Early adopters are seeing 3x throughput and ~28% cost reduction on agent workflows.
A production-ready event analytics stack you can deploy in days, not weeks. We’ll ingest product events via FastAPI, stream with Redpanda, store and aggregate in ClickHouse, model with dbt, and visualize/alert in Metabase—plus health monitoring and cost notes.
A production pattern for handling third‑party webhooks without slowing WordPress. We’ll verify signatures at the edge (WordPress), forward to Django with short‑lived HMAC, enforce idempotency, queue, and retry safely.
A complete, deployable pattern for a production chatbot that actually does work: Brain + Hands separation, tool calling, memory, orchestration, safety, and WordPress integration. Includes concrete schemas, routes, and deployment notes.
Stop calling LLM APIs directly from WordPress. This guide shows a hardened Django inference proxy with Redis rate limits, streaming, caching, and a minimal WordPress plugin to consume it. Deployable, observable, and fast.
End-to-end tutorial to ship a fast, secure Retrieval-Augmented Generation (RAG) API that indexes WordPress posts, stores embeddings in Postgres (pgvector), and serves answers via Django. Includes ingestion code, search endpoint, caching, and deployment.
A production-ready pattern to turn inbound emails into structured CRM records with zero human routing. Covers architecture, schema design, evaluation, error handling, and cost controls. Built with FastAPI, Celery, Postgres, and HubSpot.
We shipped a faster, safer agent runtime, a built-in encrypted key vault, and a leaner WordPress AI plugin. Expect lower latency, easier multi-agent orchestration, and safer API usage in production.
How to ship a low-latency analytics stack that replicates Postgres into ClickHouse, transforms with dbt, and visualizes in Grafana. Includes schemas, replication setup, dedupe, cost/perf tuning, and alerting.