Articles by John Godel

AI's evolution: from narrow to super competence. Agentic systems are vital for safe, repeatable, and controlled AI execution, emphasizing governance and operability.

Explore the interplay of AI capabilities (narrow, broad, super) and agentic systems. Learn how robust architectures ensure safe, controlled AI execution and governance.

Alexa.com gets a major revamp! Explore the new browser-first Alexa+ experience with chat, planning, and cross-device continuity. Try the free tier today!

AI agents are evolving beyond chatbots into governed digital labor. Learn about the modern agent stack, governance, and the future of reliable AI operations.

Gödel Memory Fabric: A governed database layer for autonomous AI agents. Ensures safe, auditable, and scalable continual learning by managing memory lifecycle.

GSCP-15: A governance protocol for agentic AI, ensuring traceability, repeatability, and safety in enterprise LLM workflows through structured control.

GSCP-15: A framework for reliable LLM execution using governed agentic AI. It ensures traceability, repeatability, and safety in enterprise workflows.

GSCP-15: A governance-grade prompt engineering method for deterministic LLM systems. Turns prompts into executable specifications for predictable AI.

GSCP-15: A governance-first approach to prompt engineering, transforming LLMs into reliable, controlled production systems. Ensures consistency, safety, and auditability.

GSCP-15: A governance-first prompting framework for building reliable, controllable, and scalable AI systems in enterprise environments. Transform LLMs!

GGASF: A framework shifting AI focus from fluent language to structured state, governance, and verification for dependable, auditable outcomes. Ensures reliability.

Unlock enterprise-grade AI with GSCP-15! Transform generic LLMs into governed, cost-effective PT-SLMs for reliable, scalable, and auditable AI delivery.

Discover how GSCP-15 transforms generic AI models into governed, enterprise-grade delivery systems using PT-SLMs for enhanced control, cost-efficiency, and auditability.

Unlock enterprise-grade AI with PT-SLMs & GSCP-15. Govern generic models for controlled, cost-effective, and auditable AI delivery at scale. Learn how!

Discover PT-SLMs: tailored small language models for enterprise. Learn how GSCP-15 ensures governed, cost-effective, and reliable AI delivery at scale.

Build reliable AI agents with robust memory! Learn to design long-running workflows that avoid forgetting, drifting, and hallucinating. State-as-data is key!

GSCP-15: A reference architecture for building reliable, scalable AI agents. Learn how to move beyond demos to production-ready systems with contracts, state, and verification.

A hybrid AI control plane architecture using C# for governance and a Python sandbox for tool execution. Enhances security, scalability, and auditability.

Blueprint for building an AI control plane in C# using ASP.NET Core. Govern agentic AI with run intake, policy, entitlements, tool proxy, and audit trails.

Blueprint for an AI control plane in Python, focusing on governability: policy, entitlements, audit, and quality gates. Production-ready skeleton included.

Architecting a secure AI control plane for governed agentic AI. This reference architecture ensures safety, auditability, and operability at scale. Learn the blueprint!

CHROs must lead agentic AI adoption by focusing on workforce augmentation, clear accountability, and trust. Learn how to scale AI without alienating employees.