If you've ever worked in a support or operations role, you know the drill: review a case, identify what went wrong, then spend precious minutes drafting coaching messages for your team. It's repetitive, time-consuming, and honestly—perfect fodder for automation. That's exactly what developer Aadil Majeed Lone tackled as part of the Gen AI Academy APAC program, Track 3: Automate Daily Operations with a Productivity Agent.

Building the Coaching Notes Automation

The project sits between two other tracks in the academy—an escalation classifier (Track 1) and a BigQuery insights agent (Track 2)—but Lone identifies writing coaching messages as "the most repetitive part of my actual day." The solution? An ADK (Agent Development Kit) agent deployed on Google Cloud Run, designed to take case review data and generate personalized coaching feedback automatically.

Why ADK + Cloud Run Makes Sense

Using the Agent Development Kit gives developers a structured framework for building multi-step AI workflows without reinventing the wheel. Pair that with Cloud Run's serverless container model, and you've got an agent that scales on-demand, handles async requests gracefully, and doesn't require managing underlying infrastructure. For teams already in the Google Cloud ecosystem, this combo is particularly attractive—authentication, logging, and deployment pipelines all integrate out of the box.

The Practical Upshot

This isn't theoretical AI theater. It's a concrete example of how language models can handle the cognitive overhead of drafting routine-but-nuanced communications. Coaching notes require understanding context, identifying specific behaviors, and framing feedback constructively—tasks that sound human-only until you actually build an agent to do them.

Key Takeaways

  • ADK provides scaffolding for multi-turn agentic workflows without custom infrastructure
  • Cloud Run offers serverless deployment with automatic scaling for production workloads
  • Repetitive knowledge work (coaching, escalations, insights) is low-hanging fruit for AI automation
  • The Google Cloud ecosystem makes end-to-end implementation straightforward for teams already using GCP

The Bottom Line

This project proves that the real value in enterprise AI isn't flashy demos—it's tackling the unglamorous tasks that eat up your day. If you're still manually writing coaching notes while your team has access to ADK and Cloud Run, you're leaving time on the table.