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I Built an AI That Settles "Who Would Win" Arguments — Here's How

Every group chat has that debate that never resolves: Messi or Ronaldo, Naruto or Goku, India or China. Someone always says "there's no real answer" and the thread dies. I got annoyed enough by this that I built a site that actually gives an answer. What it does APEX Versus lets you type any two people, characters, companies, or countries and get an AI verdict across 7 power dimensions — power,…

We haven't written up this one. Dev.to has the full story — the link below goes straight to it.

Read the original at dev.to →

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Mix and Match: Serving an ADK Agent to AWS and Azure

This article provides a step by step look at running a Google ADK agent on Cloud Run, and serving it over the A2A protocol to callers that are not ADK.

  • Google ADK agent deployed on Cloud Run
  • A2A protocol enables inter-agent communication
  • Server card provides public HTTPS endpoint

Mix and Match: One Agent, Three Clouds, One Protocol

This article provides a step by step comparison of the same research agent built three times, on Google ADK, AWS Strands and Microsoft Agent Framework, all three speaking A2A to one coordinator.

  • Same research agent deployed on Google ADK, AWS Strands, and Microsoft Agent Framework
  • A2A protocol serves as common language for agent interoperability
  • Comparison project identifies differences between three hyperscaler agent frameworks

Why this blog exists

Originally published on Loop & Retry — field notes on building LLM agents that survive production. Most writing about LLM agents is either a demo that works once on stage or a thread promising the…

  • Loop & Retry blog fills gap between demos and tech singularity claims
  • Author focuses on realistic agent deployment with unexpected issues
  • Posts demonstrate failing version and subsequent fixes with measured data

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