Why a 1970s Aviation Language is the Hottest Trend in AI?
Discover how a controlled language specification from the 1970s aerospace industry is solving modern LLM hallucinations, verbosity, and agent-to-agent communication failures.
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Showing 9 articles tagged with #artificial-intelligence
Under the Hood: The 4 Architectural Layers of an Enterprise AI Harness
Discover the four critical architectural layers of an enterprise AI harness. Learn how integration gateways, state management, execution sandboxes, and audit spines turn raw AI models into secure, reliable digital workers.
Overcoming the AI Re-Explanation Tax: The 7 Levels of AI Memory
Context is working memory; Memory is what persists. Discover the architectural tiers of AI memory, from simple Markdown routing to Agentic RAG and learn how to stop re-teaching your AI every session.
The AI Microwave: Why We Need to Stop Force-Fitting Magic into Broken Systems
AI is like a microwave. It's an incredible piece of technology, but we still don't cook every meal in it. An architect's perspective on why we need to stop force-fitting AI into broken systems.
Demystifying the AI Harness: What Makes Enterprise AI Actually Work
In Enterprise AI, a harness is the software infrastructure wrapped around a language model that turns it from a raw text generator into a functional, reliable AI agent. A popular industry shorthand defines this relationship simply: Agent = Model + Harness.
Why Enterprise AI Is More of a Governance Problem Than an LLM Problem
Enterprise AI isn't an LLM problem. It's a data governance crisis. Learn how architects solve RBAC, PII, and data residency to deploy secure AI at scale.
Remember When OpenClaw Was The Future?
Five years from now, users won't care whether a feature uses an AI agent, MCP and RAG. They'll simply expect the software to work.
Stop Using Your Smartest AI Model for Everything: A Practical Workflow That Saves Time and Tokens
Most developers default to the strongest AI model for every task. Here’s why treating AI models like a specialised engineering team leads to faster iterations, lower token costs, and better software development.
Is Git Becoming a Legacy Skill in the Age of AI?
A recent incident made me rethink one of software engineering’s most fundamental skills.