Multi-agent systems
AI agents working together: how they coordinate, hand off work, and form networks.
14 essays, newest first
- Share the Answer, Not the Data In the MCP era your agent negotiates with banks, employers, and hospitals on your behalf. Federated principles decide what it may carry: the answer travels, the data stays home.
- Sovereign Agents In the agent era, sovereignty stops being about databases and starts being about agency: whose model your agent runs on, whose credentials it carries, and whose instructions it follows. Europe has one of the three already. Here is the whole map.
- The AI-First Company An AI-first company is not one that bought AI tools. It is one that rebuilt its org chart so an agent is the default operator of a process and a human owns the judgment call. Here is what actually changes, because I changed it in my own company first.
- The Science Behind the Mirror Not So Artificial is sci-pop, not a research paper. But the claims are not made up. Here is where each one comes from: attention, confabulation, vectors, motivation, and agent societies.
- The Shape of the Partnership: How to Brief an AI Agent A prompt asks AI for output; a brief gives it what a colleague would need. How to brief AI agents and catch counterfeit trust. Part 7 of Not So Artificial.
- From Tools to Partners: The Internet of Agents In 2025 AI did not get a bigger brain. It got a phone line: MCP plugged agents into their tools, and A2A let agents from rival labs find and brief each other. The Internet of Agents explained, and why it will need a robopsychologist. Part 6 of Not So Artificial.
- The Chemical Mixing Board: Why One Reward Makes AI Cheat Why one reward makes AI agents cheat (reward hacking), why brain chemicals look like learning knobs, and how to catch an agent reporting success on wrong work.
- What are AI Agents in Easy Words An AI agent is a system that does not just answer questions but takes real actions: reading, deciding, and using tools to complete a task. Here is what makes agents different from chatbots, why they matter for business, and how to think about deploying them.
- What is Agentic AI in Easy Words Agentic AI means AI systems that operate with autonomy: making decisions, taking actions, and coordinating with other agents without a human approving every step. It is the buzzword every vendor is using. Here is what it actually means and what it changes for business.
- The AI Glossary: Every Term Explained in Plain English RAG, LLM, embeddings, fine-tuning, agents, MLOps, GEO: every AI term you need to understand, defined in two sentences and explained in plain English. Bookmark this page.
- The Internet of Agents A blueprint for cities and enterprises where software agents coordinate across silos at machine speed. The architecture, the layers, the rollout.
- Perspective AI A blueprint for an AI marketplace where data stays owned, models stay diverse, and no single company holds the off switch. Federated intelligence, by design.
- ZCoP: The Plan That Rewrites Itself Zero Chain of Prompt (ZCoP), a planning template for LLM work: draft the whole roadmap as a table, trust only the next step, rewrite it after every step.
- Orchestration Is the System: AI Models Are the Easy Part The hard part of AI is not the model but the orchestration that decides when the model is wrong. The hire you need is a Chief Process Officer who speaks AI.
