Sayantan Das
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Flavor Neo: a leader/worker/verifier loop for cheaper, more correct agent runs
How I split judgment from labor across model tiers, and why the verifier matters more than any worker
Jul 5
•
Sayantan Das
June 2026
The Bitter Lesson of Selling AI to Enterprises
Enterprises are built for legibility, not velocity. That's a feature, not a bug.
Jun 29
•
Sayantan Das
Loop Engineering Is Just K8s-Style Orchestration
From Watt's governor to Kubernetes to AI agents — the same cybernetic pattern at progressively higher abstraction
Jun 21
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Sayantan Das
The Bitter Lesson of Automated Eval Loops
Automate the labor. Keep the target function human.
Jun 10
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Sayantan Das
2
Humans Aren't Leaving the Loop
Agents compress the execution cycle. Humans move up to the strategic one.
Jun 4
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Sayantan Das
2
Log-Centric Agent Architecture
How event logs, deterministic projections, and replayable state change the way advanced agents are built
Jun 4
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Sayantan Das
2
May 2026
Evals Are a Feedback Loop, Not a Score
What the best agent teams in 2026 know about measuring their systems
May 20
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Sayantan Das
1
How I Run Long-Running Agents at an Insurance Company
Durable orchestration, checkpointing, and human-in-the-loop in production
May 20
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Sayantan Das
2
They Said Extensions Were Dead. Then AI Needed a Browser.
The arc of browser plug-ins — from power-user toy, to security liability, to the quiet backbone of the agentic web.
May 18
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Sayantan Das
1
Agent Design Patterns Used in Enterprise AI Systems
What I've learned building LLM agents that actually run in production
May 17
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Sayantan Das
1
Be an Internal FDE for Your Company
The most underrated career move in data science isn't a promotion. It's becoming the person everyone already trusts.
May 17
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Sayantan Das
How to Build a Killer LLM Studio in 2026
A system design deep-dive: six services, one gateway, and the engineering decisions that actually matter
May 17
•
Sayantan Das
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