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Blog — AI Prompts & Prompt Engineering — Page 10 | PromptABCD

AI Prompts & Prompt Engineering

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

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Agent Loop Engineering

Loop Instrumentation for Production Monitoring

Picture finding out your agent broke from an angry customer, not your dashboard. Agent loop monitoring turns silent failures into alerts you catch first. This case study shows what to instrument.

August 27, 2026·8 min read

Agent Loop Engineering

How Long Should an Agent Loop Run?

Half of agent overruns aren't hard tasks — they're loops with no sensible length limit thrashing past the point of usefulness. Getting agent loop length right saves cost and catches bugs. Here's how.

August 27, 2026·9 min read

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Agent Loop Engineering

Rewriting the Goal Mid-Loop: Self-Reprompting

An agent chasing a goal it had misread wasted 20 steps before failing. Agent self-reprompting lets a loop rewrite its own objective as it learns. Here's how to build it without letting it drift.

August 25, 2026·9 min read

Agent Loop Engineering

Building a Loop That Asks for Help When Stuck

Most agent advice pushes full autonomy. That's wrong when the stakes are real. An agent ask for help loop knows when to stop guessing and pull in a human. Here's the teardown.

August 25, 2026·9 min read

Agent Loop Engineering

State Machines vs Free-Form Agent Loops

Wondering whether to let your agent roam free or lock it into defined states? An agent state machine trades flexibility for control. This case study shows when that trade pays off.

August 25, 2026·9 min read

Agent Loop Engineering

How to Cache Tool Results Across Iterations

Picture your agent calling the same expensive API four times in one run for identical data. Agent loop tool caching kills that waste. Here's how to add a cache that speeds up loops without serving stale data.

August 25, 2026·8 min read

Agent Loop Engineering

Deterministic vs Exploratory Loop Modes

Running the same input twice, one agent gave two different answers 40% of the time. A deterministic agent loop trades some flexibility for reproducibility you can actually debug. Here's how to switch modes.

August 25, 2026·8 min read

Agent Loop Engineering

Temperature Settings Across Loop Steps

An agent set to temperature 0.9 for consistency invented a tool that didn't exist. Agent loop temperature isn't one setting — it should shift across steps. Here's the teardown.

August 25, 2026·8 min read

Agent Loop Engineering

Measuring Loop Efficiency: Steps to Completion

Most teams measure the wrong thing: they track average steps and miss the runs that actually hurt. Agent loop efficiency metrics done right look at the tail, not the mean. Here's a real reckoning.

August 25, 2026·8 min read

Agent Loop Engineering

How to A/B Test Agent Loop Strategies

Not sure whether your new loop strategy is actually better or just feels better? Agent loop A/B testing gives you a real answer instead of a hunch. Here's how to run one that holds up.

August 25, 2026·8 min read

Agent Loop Engineering

Loop Timeouts and Wall-Clock Limits

Picture a user waiting 90 seconds while your agent grinds through step 20. A well-designed agent loop timeout ends the wait gracefully instead of letting runs drag forever. Here's how to build one.

August 25, 2026·8 min read

Agent Loop Engineering

Recovering the Loop After a Bad Tool Result

Roughly a third of agent failures trace to one bad tool result the loop couldn't recover from. Agent loop recovery is the difference between a hiccup and a crashed run. Here's the teardown.

August 25, 2026·9 min read