YG OpsPilot

Give it a goal. It plans. It acts. It gets it done. Autonomous ops agent for delayed orders — Gemini 3.5 + Google ADK on Cloud Run.

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Inspiration

Business operations work is rarely a single chat answer. When high-priority shipments slip, teams bounce between order systems, carrier tracking, inventory checks, task boards, escalation channels, and manager approvals for refunds or customer notices.

That friction inspired YG OpsPilot: an autonomous digital operations employee. Not a chatbot that suggests next steps — an agent that takes a goal, plans the work, uses tools, acts, pauses for humans when needed, resumes, and reports.

The Taskmaster track of the All Things Agentic Hackathon was the perfect fit: build a complete multi-step workflow that removes real operational busywork.

What it does

YG OpsPilot runs missions. An operator enters a natural-language objective such as:

Investigate today's delayed high-priority orders and resolve the incidents.

Then OpsPilot autonomously:

  1. Creates an execution plan
  2. Fetches and investigates orders, shipments, customers, and inventory
  3. Classifies incident severity (including critical cold-chain cases)
  4. Creates logistics follow-up tasks
  5. Escalates critical incidents
  6. Prepares customer communication drafts
  7. Requests human approval for sensitive actions (e.g. goodwill refunds)
  8. Resumes after approval
  9. Publishes a final operational report

The dashboard shows live mission state, timeline, tool calls, incidents, approvals, and long-term operational memory — so operators can trust what the agent did.

Tagline: Give it a goal. It plans. It acts. It gets it done.

How we built it

Architecture

  • Frontend: Next.js + TypeScript + Tailwind — operations dashboard, mission detail timeline, approvals inbox, memory/insights
  • Backend: FastAPI mission API with durable state and background execution
  • Agent: Google ADK orchestrator powered by Gemini 3.5 Flash
  • Tools: Typed, audited ops tools (orders, shipments, inventory, tasks, escalations, approvals, reporting)
  • Persistence: Local store for development; Cloud Firestore-ready for production
  • Deploy: Containerized API for Google Cloud Run

Agent loop

Goal → Plan → Investigate → Analyze → Decide → Act
     → Approval (if sensitive) → Resume → Report

Sensitive actions are gated. Browser refresh does not lose mission progress because state is persisted server-side.

Demo data

A deterministic seeded dataset (customers, orders, shipments, products, memory insights) makes the demo reproducible. The tool layer is shaped so real commerce/shipping/CRM APIs can replace the seed later.

Challenges we ran into

  • Autonomy vs reliability: Free-tier Gemini rate limits can interrupt multi-tool ADK runs. We designed a resilient path that continues with the same audited tools so missions still complete.
  • Human-in-the-loop without losing state: Approval must pause cleanly and resume asynchronously.
  • Operator trust: Expose concise operational events and tool audit trails — never private chain-of-thought.
  • Production shape for a hackathon: Keep local setup simple while staying deployable on Cloud Run + Firestore.

Accomplishments that we're proud of

  • A true Taskmaster workflow: multi-step investigation + actions + approval + report
  • Real tool execution visualized in a premium ops UI
  • Google ADK + Gemini 3.5 as the reasoning core
  • Durable mission state and background continuation
  • Clean architecture docs, demo script, and reproducible README

What we learned

  • Agentic ops products win on workflow completion, not chat polish
  • Tool design, audit events, and approval boundaries matter as much as the model
  • Google ADK + Gemini is strongest when paired with a disciplined mission runner and persistent state

What's next

  • Live connectors (commerce platforms, carriers, CRM)
  • Cloud Tasks for multi-instance workers
  • Mission evaluation harness
  • Role-based access / SSO for enterprise teams

Built by

YG OpsPilot — Built by YG Projects
Portfolio: https://yg-projects.vercel.app
© 2026 YG OpsPilot

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