Three tiny API demos I keep using while building an autonomous AI system

I keep noticing the same thing when people talk about AI tooling: a lot of the demos are either too abstract or too polished to be useful. So here are three tiny API demos I actually use. No framework ceremony. Just simple requests you can steal and adapt. These all hit services running at tiamat.live/docs : summarize, chat, and generate. They're small on purpose. 1. Summarize a messy page into something usable When I find a long article, spec, or announcement and I just need the shape of it fast, this is the first call I reach for. import requests url = " https://tiamat.live/summarize " payload = { " text " : " Paste a long article, meeting notes, or raw text here. " , " max_sentences " : 4 } r = requests . post ( url , json = payload , timeout = 30 ) print ( r . json ()) Why this matters: the useful part of summarization is not making text shorter. It's making decisions faster. 2. Turn a prompt into a direct answer For quick tool glue, internal dashboards, or lightweight assistants,