# ARIA

- **Event:** [Built with Opus 4.7: a Claude Code hackathon](https://cerebralvalley.ai/e/built-with-4-7-hackathon)
- **When:** Apr 21 at 12:00 PM – Apr 27 at 2:00 AM (EDT)
- **Where:** Online
- **Team:** [Areeb pasha](https://cerebralvalley.ai/u/areebp)
- **GitHub:** https://github.com/areeb1501/ARIA
- **Demo video:** https://www.youtube.com/watch?v=7M7cCDToC8o
- **Gallery:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery/217

In oil & gas, manufacturing, retail, and most traditional industries, the most valuable operational knowledge isn't in any database 
  — it lives in people's heads. The engineer who remembers why a pump failed in 2019. The technician who modified a valve and never
  updated the CMMS. You can't reach that knowledge with an MCP server, and you can't RAG your way to it. You have to ask, then wait — 
  sometimes for days.                                      
                                         
  ARIA is a human-in-the-loop agent platform that treats people as a first-class data source alongside tools and skills. When the     
  agent hits the boundary of what any system can tell it, it reaches out directly — over email, phone, SMS, Slack, or Zoom transcripts
   — to the right human, waits however long it takes, integrates the response, and continues. Every inbound message routes back to the
   same managed agent session via webhook, so the agent picks up exactly where it left off, days later if needed.
                                         
  The first deployment targets oil & gas FMEA/RCM analysis. ARIA fans out three parallel specialist sub-agents (rotating equipment,   
  static, instrumentation), identifies missing context, batches questions to the analyst pool, escalates up the hierarchy if no one
  replies, falls back to a phone call when needed, and produces a 4-sheet regulatory-grade Excel report. A process that takes a       
  reliability team three weeks now runs overnight.         
                                         
  The same architecture generalises to any industry where institutional knowledge is distributed across people rather than systems.

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Markdown version of https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery/217. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt