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+# Assignment Proposal
+
+## Title
+
+_AIAC: An AI Infrastructure-as-code Generator_
+
+## Names and KTH ID
+
+  - Diogo Gaspar (dgaspar@kth.se)
+  - Diogo Melita (diogogm@kth.se)
+
+## Deadline
+
+- Week 5
+
+## Category
+
+- Demo
+
+## Description
+
+We will demo [AIAC](https://github.com/gofireflyio/aiac), a tool which makes use of generative AI tools,
+generating infrastucture-as-code "templates, configurations, utilities, queries and more via LLM providers
+such as OpenAI, Amazon Bedrock and Ollama".
+Our idea is, besides first briefly presenting the tool itself and its capabilities, take one
+previously-thought-of prompt and try it in front of the class, and then ask one of our colleagues and/or
+one of the teachers for another prompt, and reason regarding the obtained results in both cases (whether they
+were good, if re-prompting with a few tweaks should fix basic issues, if it hallucinated, etc).
+
+**Relevance**
+
+Our demo will aim to display this tool's (and generative AI tools' more generally) capabilities
+of generating serviceable IaC, and how these may help developers toward their goals (taking, of course,
+into consideration that these are fallible tools, with no built-in formal validity/correcteness checks).