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Classic rookie mistake, I know. I KNOW. I was pushing a quick prototype to GitHub to share with a friend. I hardcoded my OpenAI API key in a config file. I realized my mistake abo…
Client wanted a chatbot for their bakery website. Simple use case: answer questions about opening hours, location, and the menu. I went full enterprise mode. I wrote a 2,000-word …
Story time. I joined a startup and my first task was to classify support tickets into 12 categories. I thought: this is a perfect use case for an LLM. I spent three weeks iteratin…
I built an internal tool that let employees query our HR policy documents using an LLM. I was very proud of my security. I had: - A system prompt explicitly telling the model to o…
I needed a dataset of creative product descriptions for a fine-tuning job. I figured I'd generate them with GPT-4 — give it a product name, tell it to be creative, done. What I di…
Quick one. We use Anthropic Claude via their API for a customer-facing feature — a document summarizer. We have a staging environment and a prod environment. In staging we had ver…
We were relaunching our e-commerce store and I had the brilliant idea to replace all product photos with AI-generated lifestyle images. Very modern. Very forward-thinking. I set u…
I was building a little side project with the OpenAI API. Nothing fancy, just a script that summarized Slack threads and posted them to a channel. I had a try/except block that w…
We needed a short explainer video for a seed round pitch. I thought, hey, let's use AI video generation, it'll be impressive. I went to the platform, set up my prompts carefully, …
Built a LangChain agent for work. It had access to a "run_query" tool that could hit our internal API. Standard stuff. What I did NOT anticipate: the agent decided the best way to…