Has anyone got an example of an agent doing work in production that is saving the company money and doing a genuinely worthwhile job (in other words it's not writing text that exists purely to fill space on a packet of chips)?
replies(3):
1. Agentic Automation: For every alert/ticket coming in, the agent does a pre-investigation across relevant APIs, DBs, etc, helping identify FPs and providing more context on real ones. Cuts down on human time and speeds up handling.
2. Vibes Investigation: The same agentic reasoning is used when spelunking, where beyond just text2sql, the LLM will spin 2-10 minutes to investigate Splunk, databricks, etc for you.
Underneath, the agent has tools like semantic layers over DBs, large logs/text/dataframe analysers, etc .