How to Build Your Own AI Meeting Note Taker with OpenAI API
You know that sinking feeling. You just spent 45 minutes in a meeting hashing out an architecture decision, and now you're staring at your screen trying to reconstruct who said
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You know that sinking feeling. You just spent 45 minutes in a meeting hashing out an architecture decision, and now you're staring at your screen trying to reconstruct who said
Claude Code can feel brilliant for the first hour of a feature. It finds the right files, follows your conventions, and remembers why you picked one implementation path over another.
Claude Code feels much better when it remembers the project. It stops asking which test command to run, stops rewriting code against the wrong style, and starts acting more like
You have been typing into ChatGPT for two years. You know the basics. You have had it write emails, summarize documents, debug code. You have noticed that sometimes when you
You upload a PDF. You ask a question. NotebookLM answers. Sounds simple. But if you have ever asked NotebookLM something and gotten a confident, completely wrong answer, you already know
One of the most common mistakes in agent architecture is treating memory like a single feature. A team adds a session backend, sees the agent remember the last few turns,
Most people use AI for their LinkedIn profile exactly wrong. They paste their resume into ChatGPT, ask it to "make it sound professional," and end up with something that reads
You've seen the comparisons. You know the definitions. Chain of thought makes the model reason step-by-step within a single call. Prompt chaining breaks a task across multiple calls, where each
Your agent looked solid in the demo. It remembered the user's preferences, carried context across tool calls, and even recovered from a follow-up question without breaking stride. Then the process
IntroductionMost teams try to add memory to an AI agent the same way they add caching: flip on a feature, point it at a store, and hope the agent magically
You want to generate images in your app. The obvious answer six months ago was "call the OpenAI API and move on." But between $0.05 per image at scale, the
You've been using LLMs long enough to know the basics. You can ask a chatbot to explain something and get a useful answer. You probably know to add examples to