High-quality professional headshots are essential for personal branding, job searching, and digital presence. However, booking studio photography sessions for every stylistic requirement or industry shift can be costly and time-consuming. Using AI image generators with precise, highly detailed prompts allows you to adapt your portrait style to fit specific professional contexts
🛠 ChatGPT
Hot take: For long AI workflows, context management matters more than prompt engineering. A perfect prompt can't save a conversation that's 80% irrelevant context. I've started treating long AI sessions like this: Persistent project brief Decision logs Context checkpoints Compression summaries Reusable templates The quality difference after 50+ messages is huge. Does anyone els
🛠 ChatGPT
I’ve been testing out prompting using chatgpt and have run into this problem where chatgpt complicates a simple prompt. It’s giving me so much text that it’s burning through my tokens. How do I ask it to be more efficient, given that we’re in the middle of a project. I’m worried about messing up the quality of the prompts. Please lmk if y’all have faced this problem and how you
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I'm starting to believe that keeping production prompts in the codebase is one of those decisions that feels harmles until you have to explain a quality drop. At the moment, we’ve got prompts scattered all over the place. Some are in config files, some live in helper functions and a few are buried who knows where. Then someone tweaks the prompt, someone else changes the model a
🛠 ChatGPT
I created this tool to help me test and evaluate different model responses: RouterDash. This allows me to compare models from OpenRouter, Groq and Cerebas. I used this to find the cheapest possible, high quality responses for another project. Fully client side, all data is stored in browser local storage for complete privacy. I recently added prompt templates and image attachme
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Hi everyone — I made this tiny macOS menu bar app to quickly edit and copy my daily prompts. I work as a software developer and I use a few prompts on a daily basis, so having this saves me a lot of time. Some examples of the prompts I commonly use: Create pull request Code quality & readability review (reduce AI bloat, comments, useless tests) Language simplification — give me
🛠 ChatGPT
We rewrote a prompt and the overall answer score rose, so the first chart looked great. Then we split results by experience level. Newcomers got clearer steps while expert customers got longer answers that buried the usefulness. A model update had also landed that afternoon, which meant the aggregate chart couldn’t tell us which change moved quality. We versioned the prompt in
🛠 ChatGPT
I’ve tried a lot of the usual prompt tips, but most of them seem to make only a small difference. What’s one prompting technique you’ve used that genuinely improved the quality or consistency of the output? Could be something simple or something more advanced. submitted by /u/Appropriate_Care_880 [link] [comments]
🛠 ChatGPT