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Blog — AI Prompts & Prompt Engineering — Page 30 | PromptABCD

AI Prompts & Prompt Engineering

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

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Agent Loop Engineering

Plan-and-Execute vs ReAct: Which Loop Wins

The plan and execute vs react debate usually picks the wrong winner. Here's a side-by-side teardown of both loops on the same task, and the honest answer about when each one loses.

August 22, 2026·8 min read

Agent Loop Engineering

The Observe Step: Feeding Tool Results Back to the Model

Why does your agent keep ignoring what its tools return? Nine times out of ten the agent loop observation step is malformed. Here's a real case and the fix that made an agent 'smart' overnight.

August 22, 2026·8 min read

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Agent Loop Engineering

Max Iterations vs Goal Completion: Setting Loop Limits

Setting an agent loop iteration limit sounds trivial until it silently caps your best runs. Here's how to pick a limit from data, not a hunch, and when to let the goal decide instead.

August 22, 2026·8 min read

Agent Loop Engineering

Preventing Infinite Loops in AI Agents

Most AI agent infinite loop prevention fails because it guards the wrong signal. Here's a loop that spins forever, why the obvious fix doesn't work, and the check that actually stops it.

August 22, 2026·8 min read

Agent Loop Engineering

When to Break the Agent Loop: Stopping Conditions

An agent once ran 240 iterations on a task that needed four, and billed accordingly. Good agent loop stopping conditions would have caught it at six. Here's how to build them.

August 21, 2026·8 min read

Agent Loop Engineering

Perceive-Plan-Act: The Classic Agent Cycle

Most agent guides push straight to ReAct and skip the perceive plan act loop entirely. That's backwards. Here's a real case where the older, simpler cycle beat the trendy one.

August 21, 2026·8 min read

Agent Loop Engineering

How to Design a Robust Agent Control Loop

Solid agent control loop design comes down to five decisions most people make by accident. Here's how to make them on purpose, with code for the parts that actually break.

August 21, 2026·8 min read

Agent Loop Engineering

The ReAct Loop: Reason Plus Act Explained

A ReAct agent loop pairs a reasoning trace with an action every turn. See a weak version fail, the fixed version work, and why the visible Thought line is doing more than you think.

August 21, 2026·8 min read

Agent Loop Engineering

What Is the Agent Loop? A Visual Guide

The agent loop explained without the jargon: a labeled skeleton you can run today, plus the one detail every tutorial skips. See exactly what turns a model call into an agent.

August 21, 2026·8 min read

AI Agents

The AI Agent Prompt Library Every Team Needs

Six engineers, six copies of 'the good system prompt,' and nobody could say which one was in production. An AI agent prompt library ends that chaos. Here's the weak setup, why it fails, and what to build instead.

August 21, 2026·8 min read

AI Agents

Scaling AI Agents to Thousands of Users

Most advice on scaling AI agents is about servers. But servers aren't what breaks first. This case study shows what actually fails when an agent goes from hundreds to thousands of users, and how to fix it.

August 21, 2026·8 min read

AI Agents

AI Agent Compliance and Audit Trails

Could you prove what your agent did last Tuesday, for one user, if a regulator asked? An AI agent audit trail is how you answer yes. This guide shows you what to record and how to make it tamper-evident.

August 21, 2026·8 min read