Frontend, database, agent layer, payments, deploy and monitoring, wired together the way I run them in production. Every layer names its service, its fallback, and what breaks first under load. The architecture diagram you were going to draw badly in Figma.
If you are shipping an AI product and the design lives across three browser tabs and a memory, this gives you the written version. Copy the diagram, swap the services you have already committed to, keep the fallbacks.
Why now The agent layer is new enough that most architecture writing predates it entirely. Every diagram from two years ago has a hole where MCP and long-running agents now sit.
The real payoff arrives the first time something breaks and you already know which layer it is. Debugging stops being archaeology and starts being a checklist.
One email. Instant access. No sequence, no upsell, no list-trap. I'll only ping you if I ship something that fits.
One email. No follow-up unless I ship something that fits.
The kit: the whole stack on one page — six layers, where the agents actually sit, and the failure order under load, so you harden what actually breaks first.
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I'm Raj Singh, founder of DebtOps.ai and a Claude certified partner. Over the last five years I've managed $25M in ads, built AI solutions for Fortune 100 companies, and installed AI operating systems and AI brains inside small businesses. Everything here is something I've shipped, debugged, or watched a client ship. My goal with AgileSingh is to make you irreplaceable in this AI age.
This is the shape. The 2026 stack guide is the shopping list that fills each box, and the agent guides cover the layer doing the work. Browse the library, or pin a slot and we will draw yours together.