AletheionAGI research notes
Research and engineering notes on state, memory, causality, grounding, intent and the limits of production AI systems.

Master the MAP metric system for AI retrieval. Learn to evaluate RAG pipelines, measure precision, and enforce evidence controls in production.

Master multi agent coordination for production AI. Explore orchestration patterns, state sharing, memory isolation, and fail-closed grounding protocols.

Explore 7 llm hallucination examples across AI systems, with failure analysis and practical grounding, retrieval, abstention, and security mitigations.

Learn how to implement effective AI agent guardrails for safe production. Explore policy, grounding, abstention patterns and tool-layer controls.

A reference guide to instruction-following evaluation for large language models, covering verifiable benchmarks, metrics, annotation, reproducibility

Uncertainty in Artificial Intelligence. Distinguish aleatoric and epistemic uncertainty in production AI. Learn measurement, communication, and abstention

What is AI infrastructure for production? Explore the full stack from GPUs to grounding, memory, and intent parsing for secure, multi-tenant AI agents.

Learn how to write AI unit tests for RAG, intent parsers, and agents. Covers mock grounding, fail-closed checks, and CI/CD integration for production AI.

Discover what is grounding and why is it important for production AI. Learn how evidence-bounded RAG prevents hallucinations and secures multi-tenant data.

Discover what goes into evaluating a system for production AI, with a clear look at the evidence, limits, and best practices for 2026.

A step-by-step guide to agentic AI implementation covering design decisions, control loops, grounding, intent handling, and safety gates for production systems.

Master AI context management techniques for multi-tenant systems. Learn to preserve persistent state, mitigate drift, and govern memory safely.

Accuracy of Artificial Intelligence. Understand AI accuracy: definitions, metrics, precision, recall, calibration, and pitfalls