Practical guides on AI agents, LLM security, C#/.NET and Cloud, from Taswar Bhatti
Practical guides for developers, by Taswar Bhatti.
In the GPT-6.1 Terra post, I built an invoice agent with nothing but HttpClient. It reads a PDF invoice, calls a C# function to check the supplier, and returns a structured result that lands in a C# record. Doing it…
Read more: GPT-6.1 Terra with Microsoft Agent Framework: A PDF Invoice Agent in C#
Most of the work an AI agent does all day is dull. Sort this ticket. Pull the fields out of that invoice. Summarize this thread for the queue. It isn’t hard work, but there’s a lot of it, and if…
Read more: GPT-6 Luna for C#: The Cheap First Stage for High-Volume Agents
An agent that only reads text is limited. Much of real work lives in screenshots, scanned forms, product photos, and the screens of apps that have no API. Those jobs need a model that can see the picture and act…
Read more: GPT-6.1 Terra for C#: Fast Vision Agents at Lower Cost
Most retrieval-augmented apps follow the same path. A vector search returns 30 or 50 passages, and the chat model reads all of them. Some of those passages are close but wrong. Some are right but buried. The model spends tokens…
Recently I wrote about Microsoft-Decision-1, a model that scores a fixed set of options instead of writing text. That post used a Microsoft provider route. This week the Azure OpenAI Decisions API went generally available in Microsoft Foundry, and it…