Reletter
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A builder’s newsletter on agentic AI and production infrastructure. I share practical lessons on Terraform, platform engineering, and automation — plus behind-the-scenes insights from building Flurit. This is for engineers who want fewer broken pipelines

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Latest Issues

Your Agent Needs Receipts, Not Memory


Your agent says the plan was approved.

Production does not care.

Thanks for reading Autonomous AI Architect! Subscribe for free to receive new posts and support my work.

Production wants to know who approved it, what changed since...

6 days ago
11
2

Agent Skills Are Becoming a Supply Chain


We are moving from agents that follow prompts to agents that accumulate skills.

That shift looks small at first.

Instead of writing a long prompt every time, you give the agent a reusable skill. The skill may contain instructions,...

8 days ago
10
2

Your sandboxed agent can still fail

We are entering the sandbox phase of agentic AI.

After months of giving agents tools and hoping prompts would keep them safe, the new answer is becoming obvious: put the agent in an isolated environment.

Give it a container, a temporary f...

13 days ago
13
2

Your AI Agent Is Wasting Time Thinking


Most agentic systems today are still built around a simple assumption:

Give the model tools, let it reason, and let it figure out the workflow.

That works surprisingly well for demos.

It also becomes expensive, slow, and fragile v...

15 days ago
15
3

The AI Build-vs-Buy Trap: Navigating the Shift from Procurement to Architecture

By and

The enterprise software era trained firms to buy capability. CRM platforms, HR systems, workflow tooling, and collaboration software taught enterprises the same lesson for two decades: buying software was usually more efficient th...

20 days ago
27
8

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Authors

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  • Sumant Thakur

    Flurit AI | Founder | AI Entrepreneur | Ex-McKinsey

  • Ashu Kumar

    I write the production playbook for AI agents: architecture, evals, observability, FinOps, and safety. Principal PM @ Oracle, ex-founder.

  • Om Prakash Pant

    What breaks when AI systems meet production reality in retail and ecommerce. 20+ years watching the gap between announcement and delivery. For tech leads inheriting what someone else built.

  • Neha Kabra

    At McKinsey & Company. Strategy is clear. Alignment slips. Execution breaks. I write about how CEOs and boards make hard decisions stick across AI, tech, data, and complex human change. My focus is banking, insurance, and private equity.

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