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BeSA Week 1: Anatomy of an AI Agent — The Six Layers Between a Demo and Production

Source: BeSA (Become a Solutions Architect) Cohort 10, Week 1 — technical session by Ashish & Parna, fireside chat with Matt Wood (AWS Chief AI & Technology Officer). …

The 40-Minute Hold, Answered in a Webchat

Kestrel Leasing just launched a new lease tier, and support call volume tripled overnight. Almost every call has the same shape: a driver who signed a 40-page lease …

AI Architecture Pattern 05: Tool Calling

[!NOTE] This is Video 1 of 2 — the full design walkthrough and real AWS build. Video 2 (hands-on live demo) is coming soon.

Mike opens the assistant that’s …

AI Architecture Pattern 04: Evaluator Optimizer

The answer was valid. It was also wrong.

Pattern 03 gave us schema enforcement — every response field is correctly typed, enum values are constrained during …

AI Architecture Pattern 03: Structured Output And Validation

Dispute DSP-2026-0042 comes in. The assistant classifies it and returns status: "under review" — a space, not an underscore. Pattern 02’s contract …

AI Architecture Pattern 02: Prompt And Context Contract

Pattern 01’s assistant works. It looks up the real transaction record, grounds its answer in it, and stops hallucinating pending-payment explanations. Then a …

AI Architecture Pattern 01: Grounded RAG For Payment Support

Mike opens a payment-support assistant and asks a simple question: “Why is my payment pending?”

Ask a raw language model that question and it will answer …

AI Architecture Patterns: Series Overview

Most AI demos teach you a trick. This series teaches you the decisions.

You’ve seen the tutorials: hook up an API key, paste a prompt, get a chatbot. They’re not wrong, …

Architecture Resilience: Best Practices & Working Practices on AWS

Resiliency Series — Bridge Post. This post synthesises Parts 1–5 into a practitioner’s playbook: the AWS architecture patterns that hold under pressure, and the team working …

Cell-Based Architecture (Part 5): Multi-Platform Cells — Resilience Across Clouds and On-Prem

“The most dangerous phrase in resilience engineering is ‘our cloud provider would never go fully down.’”

In Part 4 we laid six isolation boundaries on a …

Cell-Based Architecture (Part 4): The Selection Matrix — Balancing Resilience, Cost, and Complexity

The Million Dollor Question?

December 2021. AWS us-east-1 goes dark. Millions of applications offline. Estimated business impact: In millions per hour.

Your CIO/CTO asks: …

Building Resilient Systems: Anatomy of Failures — Part 2

Part of Reliability Under the hood Series

“If you haven’t experienced a production outage, you either don’t have enough users or you’re not monitoring …

Local AI Chat App — Week 2[Prompt Guardrails + Safety On Our Simple App]

Prompt Guardrails + Safety On Our Simple App

Week 2 is about making the chat app safe, not just smart | https://cloudtoailearn.dev I added prompt guardrails to the Week 1 demo so …

Building Resilient Systems: Patterns & Implementation — Part 3

Where we are in this journey?

In Part 1, we established the mindset: everything fails, all the time. The question isn’t if your system will fail — it’s how badly.

In …

I Built a Local AI Chat App — Here's the Architecture (Week 1)

Week 1 of my AI Demo Series · cloudtoailearn.dev 🔗 GitHub repo: https://github.com/narenmak17/week01-simple-chat

Every AI tutorial starts with “call the OpenAI API”. …

From Cloud to Cognition: Architecting AI-Ready Infrastructure

After 15 years of building cloud infrastructure, I’ve watched the industry shift from bare metal to VMs, VMs to containers, and containers to serverless. Each wave changed …

From Failure to Resiliency: Building Resilient Systems - Embracing Failure Part-1

After More than decade and half years of building & designing infrastructure & applications, what i realized is system resiliency is one of the crucial factor of any …