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Series
A hands-on blog series exploring how to build real-world tools with OpenAI — covering Batch APIs, chat/completion endpoints, summarization, embeddings, function calling, and workflow optimization.
For the past few weeks, I’ve been exploring how to build more sophisticated AI applications – not just chatbots, but actual agents that can reason, search the web, interact with APIs, and deliver useful outcomes. I wanted a starter project that could...
If you’ve read my previous post, you know how to structure a .jsonlfile, upload it, and create a batch request to OpenAI. But what happens after the request is made? This blog walks you through: How to track a batch job How to download and interpre...
🧠 TL;DR Batch APIs are your best friends when you want to run large-scale LLM tasks – without maxing out your rate limits or sending requests one at a time like it’s 2022. In this post: Why batch APIs are useful A real-world use case: summarizing ...
