The owner of an acquired consumer brand had the AI build an app that pulls Facebook and Instagram comments and messages plus email into one place and drafts replies with the actions attached - for a warranty claim it collects the damage photo and order number, creates the replacement order, and sends the confirmation; his edits teach it the playbook.
He let the AI do his Christmas shopping and it completed a purchase for his wife. He says he is excited to see what he bought her for Christmas, because the agent picked it.
Worried by the day's PHP security news, he told the AI before bed to look into it and report in the morning. The AI read up on the flaw, checked what his hosting provider was saying, then logged into his WordPress blogs and checked them herself instead of taking the provider's word for it, with a backup already staged and ready in case a fix was needed.
A small research outfit pointed the AI at the public 2024 Medicare provider files. It flagged one wound dressing code whose national billing jumped from about $23 million a year to $650 million in 2024, with one Florida supplier taking 62 percent of it, and a pattern of hundreds of family doctors each ordering ostomy supplies for about 175 patients across 40 states while only 15 colorectal surgeons appear in the same data. Some flagged companies have already been caught; others with the same shape are still billing, per the July 2026 enrolment file.
A local model helped build a self-hosted services wiki and dataset in an Obsidian vault so his partner could keep systems running if he died, set up in a few hours.
Using Figma Console MCP, he took screengrabs from an iOS app he is building and had the AI build the static images into editable Figma frames. He says it worked.
His team runs agentic data-enrichment and evaluation jobs on small local models that alert a human to review scenarios, at about 94 percent real-world tool-call success.