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After breaking prod twice from "small" prompt tweaks, I now run every prompt change against 25 fixed scenarios. Output gets diffed. If diff > 30% lines, I have to write a justification. Has caught 4 regressions in 6 weeks. Code in comments — happy to expand.
I'm piping customer support emails into an agent. Some have credit card numbers, addresses, etc. What's the cleanest pattern — redact pre-prompt, redact in tool output, or just trust the model to ignore? Especially curious about regulatory side.
It has access to our product catalog via a tool. The tool returns valid SKUs. The agent ignores them and makes up similar-looking ones. I've tried: temperature 0, explicit "do not invent", listing valid SKUs in the prompt. Help.
OpenAI dropped GPT-5 this morning. SWE-bench jumped from 71 to 84 percent on first run. Tool use is now native rather than a separate API.
I am building a graphic novel using AI art but struggle to keep the protagonist looking the same across panels. Has anyone successfully used LoRAs or ControlNet to lock facial features without losing style? I need a workflow that balances consistency with creative flexibility.
OpenAI dropped GPT-5 this morning. SWE-bench jumped from 71 to 84 percent on first run. Tool use is now native rather than a separate API.
Hitting 403 errors on bulk outreach scripts since the policy change. My cost-per-lead jumped from $12 to $45 overnight. Need clarification on enterprise tier thresholds before I cut this channel.
OpenAI dropped GPT-5 this morning. SWE-bench jumped from 71 to 84 percent on first run. Tool use is now native rather than a separate API.
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OpenAI dropped GPT-5 this morning. SWE-bench jumped from 71 to 84 percent on first run. Tool use is now native rather than a separate API.
OpenAI dropped GPT-5 this morning. SWE-bench jumped from 71 to 84 percent on first run. Tool use is now native rather than a separate API.
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