# Charie

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Meghana Yadlapalli](https://cerebralvalley.ai/u/Megs)
- **GitHub:** https://github.com/meghana-0313/charie-workspace
- **Demo video:** https://youtu.be/NFBvvHV7TBk?si=qYjFVLpR6yyHH7tG
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5168

CHARIE
Your AI support engineer. On the call when customers need help. In the engineering loop while your team sleeps.

THE PROBLEM

Small engineering teams cannot afford 24/7 support, QA, and engineering operations. When something breaks at 3 AM, customers discover it first. Teams spend hours reproducing bugs, capturing evidence, documenting issues, implementing fixes, and re-testing them. Security and accessibility checks often fall through the cracks.

WHAT CHARIE DOES

Charie joins customer calls, sees their screen, and responds verbally through a floating in-app widget. With customer consent, she creates support tickets and connects them to a shared engineering workspace.

Using AI and Playwright, Charie investigates issues, identifies root causes, captures evidence, proposes fixes, replays failed user journeys to verify resolutions, checks for security regressions, clusters customer feedback into actionable work, and monitors live websites every 3 seconds.

She can execute human-approved engineering work overnight and deliver a visual morning digest showing what happened, what changed, and what was verified.

Human-in-the-loop by design: Investigations, fix instructions, dispatches, and containment actions are protected by explicit approval gates. No consequential action proceeds without human authorization.

THE DEMO: FROM CUSTOMER COMPLAINT TO VERIFIED FIX

One continuous story: A checkout silently fails when a customer adds 3+ items. Charie sees the customer's screen during the call, identifies the HTTP 500 error in their Network tab, investigates the application, discovers the root cause, obtains human approval, and re-runs the exact failed journey to demonstrate that the fix works.

BUILT WITH META AI

Eight Meta technologies power distinct capabilities:

• Muse Spark 1.3: Screen vision, reports and triage
• Muse Spark Open (Baseten): Chat and call brain, adversarial second opinion
• Muse Wonder: Deep investigations
• Muse Image: UX redesigns
• Muse Voice Transcribe: Voice tickets
• SAM 3.1: Evidence grounding
• Muse Glimmer: Overnight log triage

Voice output uses Cartesia TTS, with Modal Kokoro as fallback (third-party TTS, since Meta provides no TTS). Model failures degrade to clearly labelled heuristic behaviour, never fabricated live data.

LIVE WORKSPACE

https://charie-portal-ehfuotlisq-uc.a.run.app

Built entirely during the hackathon. Production runs on Google Cloud Run and Firestore, using Workload Identity Federation with no stored cloud keys. The deployment runs the same code as the repository.

WHY IT MATTERS

Charie brings traditionally disconnected support, QA, engineering, and security workflows into one continuous, evidence-driven system:

Ticket → Evidence → Investigation → Approved Fix → Verification

She gives small engineering teams the operational reach of a much larger organization, without requiring someone to be awake every hour of every day.

A real business, built to outlast the hackathon.

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