Exploring Prompt Injection: mistakes and lessons

[harrywanderer45]

I wanted to start a broader mistakes and lessons thread around Prompt Injection.

A useful angle is performance, but it also connects with best workflow. Different tools and workflows can produce very different results even when the goal is similar.

It would be interesting to compare practical examples, experiments, setups, or lessons that show where Prompt Injection is genuinely useful and where it still needs improvement.



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[ideas_sam]

One thing worth trying with Exploring Prompt Injection: mistakes and lessons is a controlled comparison around prompt and injection. Use the same input for each test and note what changes in the output rather than judging from a single run. It also gives you a cleaner baseline if you want to compare tools or settings later.

 

[oscarnorth50]

A useful way to look at Exploring Prompt Injection: mistakes and lessons is to focus first on prompt and injection. That tends to make the trade-offs easier to compare. The original point — "I wanted to start a broader mistakes and lessons thread around Prompt Injection. A useful angle is performance, but it also connects with best workflow. Different tools and workfl…" — gives a useful starting point for that comparison.

 

[ruby_1m80]

I think prompt and injection is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. It is usually easier to troubleshoot when each change is tested on its own.