AletheionAGI research notes

Questions before conclusions.

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

evaluating a system AI benchmarks RAG evaluation

Evaluating a System for Production AI: Evidence & Limits

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

September 27, 202617 min read

agentic ai implementation ai agents rag security

Agentic AI Implementation: A Practical Engineering Guide

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

September 26, 202615 min read

ai context management ai memory multi-tenant isolation

AI Context Management: Preserving State Across Sessions

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

September 25, 202615 min read

accuracy of artificial intelligence AI metrics RAG accuracy

Accuracy of Artificial Intelligence: Beyond the Benchmark

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

September 24, 202615 min read

ai agents testing agent evaluation RAG testing

AI Agents Testing: Practical Strategies That Hold Up

Practical ai agents testing strategies for production teams, covering end-to-end scenarios, unit tests, frozen benchmarks, adversarial controls

September 23, 202616 min read

devops vs mlops mlops guide ai operations

DevOps vs. MLOps: What Actually Changes for Production AI

DevOps vs. MLOps explained for B2B teams shipping production AI. Compare lifecycles, tooling, monitoring, and governance to choose the right operating model.

September 22, 202616 min read

llm security prompt injection ai security

Large Language Model Security: Threats and Mitigations

A practical guide to large language model security, covering prompt injection, data exfiltration, agent controls, and operational mitigations for production AI.

September 21, 202619 min read

guardrails meaning in business AI guardrails business governance

Guardrails Meaning in Business: A Practical Guide

Learn the guardrails meaning in business with practical examples on governance, risk controls, decision authority, and measurable AI safety.

September 20, 202620 min read

agentic RAG RAG architecture AI grounding

What Is Agentic RAG and How It Actually Works

What is agentic RAG? Learn how retrieval-augmented generation becomes an agent loop, key risks, grounding controls, and when the added complexity is worth it.

September 19, 202617 min read

what is llm evaluation LLM evaluation metrics RAG evaluation

What Is LLM Evaluation and How to Make It Reliable

What is LLM evaluation? Learn metrics, frozen protocols, and test design for production QA with grounding, provenance, and fail-closed controls.

September 18, 202615 min read

ai hallucination prevention RAG grounding LLM hallucination fix

AI Hallucination Prevention: Production-Ready Strategies

Learn how AI hallucination prevention keeps your models accurate and trustworthy in production environments. Discover actionable techniques for 2026.

September 17, 202617 min read

rag retrieval augmented generation ai grounding

Retrieval Augmented Generation: A Practical Guide

Learn how retrieval augmented generation combines data retrieval with LLMs to produce accurate, verifiable responses. A practical engineering guide for 2026.

September 16, 202618 min read

ai alignment problem ai safety production ai

The AI Alignment Problem and What Production Teams Actually

A technical guide to the AI alignment problem in production. Covers failure modes, governance gaps, and verifiable controls for deployed AI systems.

August 25, 202616 min read