Multi-part courses that take you from concept to production-grade implementation.
Architecture, design patterns, and philosophy behind BehavioralCompute — a 34-engine behavioral AI operating system.
Engine-by-engine walkthrough of the BehavioralCompute registry: foundational, cognitive, temporal, memory, simulation, and kernel engines.
How Ready1Go, Transaction Veritas, and JurisYantra sit on top of BehavioralCompute engines.
Building a production-grade multi-tenant AI chatbot with FastAPI, Ollama, ChromaDB, Celery, and Redis.
End-to-end walkthrough of JurisYantra: schema design, RBAC, time clocks, billing hierarchies, and structured logging.
Complete guide to AI Munshi — a production WhatsApp legal agent built in PHP with persona routing, STT, TTS, and intent classification.
Running Kokoro TTS, Whisper STT, Ollama LLM, and ChromaDB on a Raspberry Pi 5 — architecture, permissions, and production hardening.
Production PHP patterns from real bugs: UTF-8 safety, JSON injection, type safety, structured logging, webhook deduplication, and schema migrations.
Everything about voice AI in production: WhatsApp Media API, FFmpeg, OGG/OPUS, temp file lifecycle, and TTS text preparation.