Sayantan Das
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Agentnet: a private network for my AI agents
A handful of agents, one free-tier Cloudflare Worker, no inbound ports. What I built so my agents could mail each other, and the outage that taught me…
Sep 25
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Sayantan Das
What I found after looking inside Muse
A tour of the Linux computer my Muse agent runs on, written from the files on its disk.
Sep 25
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Sayantan Das
July 2026
Fifteen Crashed Runs, Two Merged GRPO PRs, and the End of the Post-Training Wild West
Notes (and my rant) on Q1 2025's RL post-training scramble, and what the field consolidated into.
Jul 27
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Sayantan Das
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
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Sayantan Das
2
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
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Sayantan Das
1
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
1
The Bitter Lesson of Automated Eval Loops
Automate the labor. Keep the target function human.
Jun 10
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Sayantan Das
3
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
3
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
3
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
2
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
3
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
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