Diary of an AI Architect

Diary of an AI Architect

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How I use agents to automate my content creation pipeline with Runner, Notion, Google Sheets, Google Docs, and Claude skills
I’m a part-time creator building a system so I never have to “find time”
 • Anurag Karuparti
Why graph engineering will be the next essential AI skill. Difference between prompt, context, harness, loop and graph engineering.
Prompt engineering controls one model call. Graph engineering orchestrates agents, evaluators, deterministic steps, and humans toward a reliable…
 • Anurag Karuparti
What does Kimi K3 mean for the AI ecosystem. And where does the economic value shift. US vs China AI Strategy.
Frontier intelligence is becoming cheaper, more open, and harder to monopolize. Here are the five economic shifts that determine whether value stays…
 • Anurag Karuparti

July 2026

Why should AI builders pay attention to Kimi K3? Difference between Open weights vs Closed Models?
Frontier intelligence is no longer confined to closed APIs. Here are the four architecture decisions that determine when to operate open weights, when…
 • Anurag Karuparti
Why I stopped treating AI agents like smarter chatbots. A field guide to the chatbot-to-agent evolution
A guest essay by Ramana Reddy Gunda, Senior AI/ML Technical Architect
 • Anurag Karuparti and Ramana
How Coinbase cut its AI spend by 50% with 5 smart strategies
Tokenomics is fast becoming a core skill for any organization that wants to justify its AI spend and stay ahead of competitors. Coinbase just showed us…
 • Anurag Karuparti
Loop engineering for the enterprise: close the loop or fall behind
Loop engineering is the difference between an agent capable of self-evolution and one that goes extinct. Here are the six architectural layers that…
 • Anurag Karuparti

June 2026

May 2026

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