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Blog — AI Prompts & Prompt Engineering — Page 11 | PromptABCD

AI Prompts & Prompt Engineering

Practical guides, templates, and tips for Claude, ChatGPT, Gemini, and beyond.

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Multi-Agent Systems

Pub/Sub Patterns for AI Agents

A team's agent added a new step and silently broke three downstream agents nobody remembered depended on it. Pub sub ai agents patterns prevent exactly this. Here's the case study.

September 24, 2026·8 min read

Multi-Agent Systems

Using a Message Queue for Agent Coordination

Most agent tutorials wire agents together with direct calls, and it's wrong at scale. An agent message queue decouples work from workers and survives restarts. Here's how and when.

September 24, 2026·8 min read

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Multi-Agent Systems

Event-Driven Multi-Agent Architectures

Wondering why your agents feel so tightly coupled and brittle? An event driven multi agent design decouples them. This guide shows how to build one you can extend without rewrites.

September 24, 2026·9 min read

Multi-Agent Systems

Reducing Token Costs in Multi-Agent Systems

Picture opening a bill 8x your estimate for an agent team that barely did anything. Multi agent token cost hides in re-sent context and chatty coordination. Here's the teardown.

September 24, 2026·8 min read

Multi-Agent Systems

Passing Context Between Agents Efficiently

One team's agents passed 40,000 tokens of context between each step - and 90% was never used. Multi agent context passing done right moves references, not payloads.

September 24, 2026·9 min read

Multi-Agent Systems

Retry and Fallback Across Agents

A single retry once cost a team $1,200 in a night because it re-ran a whole agent chain. Multi agent retry fallback done right retries the smallest failing unit, not the world.

September 23, 2026·9 min read

Multi-Agent Systems

How to Handle a Failing Agent in a Team

Most multi agent failure handling guides are wrong: they treat a failed agent like a crashed server. Agents fail differently. Here's a copy-paste guide to detecting and containing them.

September 23, 2026·9 min read

Multi-Agent Systems

Deadlocks in Multi-Agent Systems

Why did your agent team just freeze with no error? Multi agent deadlock is usually the answer. This teardown shows the exact prompt pattern that causes it and how to break the cycle.

September 23, 2026·9 min read

Multi-Agent Systems

Preventing Agents From Duplicating Work

Multi agent duplicate work quietly triples your token bill and produces contradictory results. Here's a real case study on how one team fixed it with claims and idempotency keys.

September 23, 2026·9 min read

Multi-Agent Systems

Managing Shared State in Multi-Agent Systems

Multi agent shared state is where most orchestration bugs actually live. Here's how to store it, keep it consistent, and stop agents from corrupting each other's work.

September 23, 2026·9 min read

Multi-Agent Systems

Managing System Prompts Across an Agent Team

At two agents, prompt management is trivial. At ten, it's a coordination problem. Multi agent prompt management requires the same engineering discipline as code — versioning, testing, and change control.

September 23, 2026·11 min read

Multi-Agent Systems

Specialist vs Generalist Agents in Multi-Agent Systems

One capable generalist agent or a team of narrow specialists? The specialist vs generalist agents decision shapes your entire multi-agent architecture. The right choice depends on your task's structure, not the agent count.

September 23, 2026·10 min read