$ cat ai-production-readiness-guide.md

The AI Production
Readiness Guide

From single agent to digital workforce — what it takes to build AI that actually works

By Vaskin Kissoyan, Agentic Insights
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$ cat section-1.md

The Gap Nobody Warns You About

Your AI prototype works. It impressed the board. You're ready to ship.

Then it hits production. A user submits a cleverly worded input and the model goes sideways. Token costs spike 40x on a Tuesday afternoon. An agent calls the wrong API three times because it misread context from two steps back.

This is not a bug. This is the gap. LLMs fail stochastically. The same input can produce different outputs. An agent that worked in 10,000 test runs can fail on run 10,001 — not because your code changed, but because the model is non-deterministic by design.

$ cat section-2-checklist.md

The Production Readiness Checklist

Prompt Injection Defense
Token Cost Control
Observability
Deployment & Human-in-the-Loop

4 more sections — unlock above to read

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Ready to go further?

If you're figuring out where to start, what to build, or how to move from single-agent to multi-agent without creating a maintenance nightmare — this is what I do.

Vaskin Kissoyan · Agentic Insights · Austin, TX · codebasecontext.org