They're handy for situations where it would be impractical to anticipate the way your input might vary. Like say you want to accept invoices or receipts in a va

They're handy for situations where it would be impractical to anticipate the way your input might vary. Like say you want to accept invoices or receipts in a variety of file formats where the data structure varies but you can rely on the LLM to parse and organize. AI Functions lets you describe how that logic should be generated on-demand for the input received, with post-conditions (another Python function the dev write) which define what successful outcomes look like. Morgan wrote about the receipt parser scenario here: https://dev.to/morganwilliscloud/the-python-function-that-implements-itself-3el8 https://dev.to/morganwilliscloud/the-python-function-that-im... (FYI I'm on the Strands Agents team)