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Why most AI agents fail in production. Building strong evals doesn’t necessarily mean a successful business outcome
Strong evals can prove your agent works. The Outcome Translation Layer proves whether it creates business value.
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How to build a strong enterprise AI moat with context engineering and data estate
Apr 24
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Anurag Karuparti
8
1
My AI Visual Library: 74 Animated Guides From Beginner to Advanced
Feb 28
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Anurag Karuparti
6
Ep. 6 - Why Multi-Agent Systems Are Hard (And How to Build Them Right)
Nov 14, 2025
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Anurag Karuparti
14
1
How Microsoft is building a complete ecosystem for Enterprise AI?
Feb 20
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Anurag Karuparti
8
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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”
Aug 21
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Anurag Karuparti
1
1
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…
Aug 14
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Anurag Karuparti
9
2
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…
Aug 7
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Anurag Karuparti
1
1
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…
Jul 24
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Anurag Karuparti
5
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
Jul 18
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Anurag Karuparti
and
Ramana
4
2
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…
Jul 10
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Anurag Karuparti
1
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…
Jul 2
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Anurag Karuparti
2
Why the traditional data stack was not built for AI
Guest Post by Vishal Singh, Founder & CEO of DataGOL
Jun 19
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Anurag Karuparti
4
Why this is the hottest job in AI right now
Companies are paying a massive premium for the engineers who fix last-mile AI.
Jun 12
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Anurag Karuparti
3
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