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Multi-Agent LLM Systems

Foundations, patterns, protocols (MCP/A2A), memory, reliability, and cost of agentic systems.

9 posts · AI & LLMs

  1. 1

    Multi-Agent AI Systems: When (and When Not) to Use Them

    Multi-agent AI systems can cost 15x more tokens than one chat turn. Learn when agent orchestration actually pays off and when a single prompt wins.
  2. 2

    What Is an AI Agent? (And When You Actually Need One)

    Learn what an AI agent really is, how the agentic loop works, and when to choose a plain LLM call, a workflow, or a multi-agent system instead.
  3. 3

    Multi-Agent Orchestration Patterns: It's the Wiring

    A plain-language field guide to multi-agent orchestration patterns: prompt chaining, routing, orchestrator-worker, swarms, debate, and when to use each.
  4. 4

    How AI Agents Talk to Each Other: MCP, A2A & Handoffs

    A plain-English guide to how AI agents share state, hand off control, and use tools - covering MCP, A2A, handoffs, and structured outputs that actually work.
  5. 5

    AI Agent Frameworks in 2026: Which One Should You Use?

    A plain-language guide to AI agent frameworks like LangGraph, CrewAI, and the OpenAI and Claude SDKs, and how to pick the right one without over-engineering.
  6. 6

    Context Engineering for AI Agents: Why More Isn't Better

    Context engineering for AI agents means feeding the model the smallest set of high-signal tokens. Learn why more context hurts accuracy, cost, and speed.
  7. 7

    Why AI Agents Fail on Long Tasks (and How to Catch It)

    AI agents that do long, multi-step work fail in ways single prompts never do. Learn why reliability decays, how to evaluate agents, and how to see inside them.
  8. 8

    Why Multi-Agent AI Costs 15x More (And When It's Worth It)

    Multi-agent AI systems burn about 15x the tokens of a normal chat. Learn what drives the cost, when it pays off, and how to cut costs without losing quality.
  9. 9

    How AI Really Works Inside a Print Shop SaaS (Case Study)

    See how AI agent orchestration really ships in a print-shop SaaS: what works today, the four constraints that block multi-agent flows, and where to grow next.