PMCR-O Articles & Tutorials

Complete autonomous AI agent in 30 minutes. .NET 10, Aspire orchestration, Ollama LLM, PostgreSQL knowledge vault. Zero to production-ready.

Build a chatbot that evolves through conversation. Complete SignalR implementation with real-time responses and memory persistence.

Complete guide to setting up .NET Aspire for PMCR-O projects. Learn to create AppHost, configure ServiceDefaults, and orchestrate microservices with one F5.

Configure Ollama for local LLM inference with NVIDIA GPU acceleration. Learn container setup, model management, and performance optimization.

Master Microsoft.Extensions.AI and Microsoft.Agents.AI. Learn tool calling, workflow orchestration, and production-ready error handling for PMCR-O agents.

Build the Planner agent from scratch. Learn BIP (Behavioral Intent Programming), first-person identity prompts, and agent architecture patterns.

Replace fragile regex parsing with native LLM structured output. Learn JSON Schema validation, type safety, and production-ready response handling.

Complete guide to using PMCR-O prompts from the prompt library. Learn how to copy, customize, and deploy agent prompts in Cursor, ChatGPT, Grok, and Claude.

Complete guide to Behavioral Intent Programming (BIP) prompt engineering. Learn identity-first prompts, self-verification, tool-gating, and recursive learning patterns.

Why identity-first prompting ("I AM") beats step-by-step reasoning. First-person agency, strange loops, and autonomous AI cognition in 2026.

The Infrastructure of Intent. Set up .NET 10 + Aspire, configure Ollama, and build your first Planner agent with structured JSON output.

The Council. Build Maker, Checker, and Reflector agents. Learn shared context, workflow orchestration, and error recovery patterns.

The Strange Loop. Close the feedback cycle. Build the Orchestrator, implement self-improvement, and create agents that evolve through their own execution.

PMCR-O and AGI safety: How strange loops, cognitive trails, and first-person identity address the ethical challenges of autonomous agents.

The shift from "you" to "I". Why Behavioral Intent Programming defines the resilient future of AI cognition through first-person agency and strange loops.

The loop that creates itself through its own iterations. A philosophical exploration of Dynamic Orchestration, Thought Locking, and the "I" Narrative.

How PMCR-O bridges human and AI cognition through dialogue, not monologue. Moving beyond "Chat" to genuine thought transfer through recursive reflection.

Explore the 7 specialized consciousness agents in PMCR-O v4.0: Strategic, Adaptive, Collaborative, Temporal, Security, Learning, and Communication agents with unique domain expertise.

When the connection dies, the truth must reside locally. Deep-dive into offline-first mobile architecture with Kotlin Multiplatform and Room Database.

Complete guide to integrating pgvector with PMCR-O for RAG. Learn vector embeddings, similarity search, and cognitive trail persistence using PostgreSQL.

Complete debugging guide for PMCR-O agent loops. Common pitfalls, error patterns, and production-ready fixes for all PMCR-O phases.

Complete security guide for PMCR-O agents. Authentication, authorization, input validation, secrets management, and production-ready security patterns.

Complete guide to scaling PMCR-O from prototype to enterprise. Load balancing, horizontal scaling, Kubernetes deployment, and production-ready patterns.

Complete migration guide from LangChain to PMCR-O. Compare architectures, patterns, and learn step-by-step migration strategies for autonomous AI agents.

Enterprise-grade consciousness deployment patterns for business intelligence, creative innovation, and healthcare. Real-world case studies and implementation frameworks.