LUKESPEAK Engineering Insights
Production AI Architectures, Zero-Hallucination Runtimes & Agentic Systems
Building, learning, and sharing deep-tech agentic blueprints, FastMCP integrations, and symbolic cognitive runtimes with the international developer community.
Core Engineering Paradigms
Symbolic Cognitive Runtimes
Decoupling perception from reasoning using formal Text Meaning Representation (TMR) and Mental Meaning Representation (MMR) to eliminate LLM hallucinations in compliance and safety auditing.
Stateful Serverless Webhooks
Architecting asynchronous Cloud Run endpoints with background thread handoffs, dynamic OpenStreetMap hydro-filling, and faceted knowledge graphs.
Multi-Agent Graph Orchestration
Building deterministic LangGraph graphs with parallel domain specialists, stateful situation memory, and interactive citation tag matching.
Building & Learning in Public
Every article in Lukespeak Engineering Insights is backed by working code, production deployments, and real-world experiments.
As AI engineering transitions from simple prompt engineering to deterministic stateful runtimes, machine-verifiable protocols, and FastMCP tool interfaces, we document our architectural patterns to foster knowledge exchange across the global developer community.