Blog / Enterprise
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Enterprise posts
Posts for engineers and architects building agentic AI in production. System architecture, evaluation, reliability, cost, governance, and senior AI-engineering interview prep. Companion writing to Volume II, Designing Enterprise Agentic AI Systems.
19 posts Paired with Vol. II · Practice → All posts →
- Jul 19 2026
Turn Up AI Autonomy Gradually, Like a Dial, Not an On/Off Switch
Autonomy is not an on/off property of an agent. It is a per-task setting you turn up gradually as the agent earns trust. Here is the dial, and how to move it.
· 17 min read
- Jul 14 2026
The AI Agent Production Readiness Checklist
Twelve checks that decide whether an agent ships. Any red holds the launch until it is green or covered by a control, except four hard blocks that cannot be covered.
· 41 min read
- Jul 05 2026
Forward Deployed Engineering: Why Agentic AI Doesn't Ship Itself
Forward Deployed Engineering feels new because AI vendors finally named it. The mid-2026 wave of billion-dollar commitments is the market admitting agentic AI does not ship itself.
· 13 min read
- Jul 05 2026
LangGraph for Voice AI Agents: Strengths, Limits, and Production Risks
LangGraph is the stateful control-flow brain for a voice agent, not the real-time media layer. Where it fits, where it breaks, and how to compose it for production voice.
· 15 min read
- Jun 23 2026
AI Agent Observability Is Not Just Logs
Logs tell you what the system did. Agent observability tells you why it decided wrong. Here is what to observe, what to evaluate, and what to instrument first.
· 26 min read
- Jun 17 2026
Why Most Agentic AI Demos Fail in Production
A demo proves an agent can work once. Production asks whether it works repeatedly, safely, within budget, on messy inputs and broken tools, for real users. The four gates that decide whether a pilot ships, and why the demo-to-production gap is structural, not a bug to patch.
· 10 min read
- Jun 17 2026
From Deflection to Resolution: How IVA Is Rewiring the Contact Center
Legacy IVR was built to deflect callers; intelligent virtual agents should be built to resolve them. Why that one shift re-prices who wins the contact center, what the 2026 funding wave is really buying, and why the moat is integration and CX design, not the model.
· 22 min read
- Jun 11 2026
Happy Agents, Better CX: The Signal Your Dashboard Skips
A viral heart-rate experiment ranked the meetings that stressed an engineer most. It points at the CX metric almost no dashboard tracks: how the agent feels while serving the customer, and how to use that signal without crossing into surveillance.
· 6 min read
- Jun 07 2026
Why Voice AI Agents Are Harder Than Chatbots
A working chatbot rarely survives the jump to a phone line. Why voice agents are harder: latency as a hard budget, barge-in, ASR errors, silence that means something, emotion, and real-time handoff.
· 14 min read
- Jun 07 2026
What to Automate First: A Leader's Framework for Agentic AI in 2026
The question that stalls most agentic AI programs is not "can we build an agent." It is "which process first." A leader's framework for choosing the first project: four scoring criteria, one hard gate (blast radius), a 2x2 you can draw on a whiteboard, and a worked example scoring three real processes.
· 9 min read
- May 26 2026
Agent Failure Modes Interviewers Probe: Tool Misuse, Loops, Prompt Injection
Senior interviewers do not ask how agents work. They ask how agents break. The seven failure modes that decide most agentic AI system-design rounds in 2026, the follow-up questions interviewers actually use, the structured answer template, and the two failures that get candidates rejected when missed.
· 12 min read
- May 26 2026
How to Answer "Design an Agentic System" in a System-Design Interview
A senior-friendly playbook for the agentic system-design interview in 2026: the seven-part structure interviewers want to hear, a worked example, the answers that get candidates rejected, and the 30-second version if you only have a moment.
· 12 min read
- May 26 2026
What Counts as Agentic AI, and What Does Not
Chatbots, workflows, and agentic AI are not the same thing. A working definition, the AGENT framework, the autonomy ladder, production gotchas, and a 10-question checklist you can run on Monday.
· 24 min read
- May 24 2026
Agentic AI Interview Questions: 30 Real Questions with Production Answers (2026)
Thirty interview questions you actually get when applying for a senior agentic AI engineering role in 2026. Production answers from someone who has shipped these systems, not vendor talking points.
· 18 min read
- May 24 2026
Best Agentic AI Books in 2026: An Honest Engineer's Shortlist
A short, opinionated reading list for software engineers learning agentic AI in 2026. Why so few agentic-AI-specific books exist yet, and which adjacent books actually hold up.
· 5 min read
- May 24 2026
ReAct vs Plan-and-Execute: Which Agent Pattern, and How to Explain It in an Interview
The two patterns most agentic interviews ask about. What each one actually does, when each one is right, and the hybrid most production systems end up using.
· 7 min read
- May 22 2026
RAG vs Agents: The Interview Question Candidates Get Wrong
RAG and agents are not competing alternatives. They operate at different layers and compose. Why "RAG or an agent?" is a category error, the four mistakes candidates make answering it, what agentic RAG actually is, and the template for answering it in an interview.
· 8 min read
- May 15 2026
GitHub Copilot in 2026: A Practical Learning Guide for Developers
A breadth with depth guide to the GitHub Copilot ecosystem in 2026: foundations, plans, assisted and agentic workflows, the CLI, MCP, enterprise governance, and what is obsolete.
· 58 min read
- Jan 23 2026
Sharing My AWS Certified Generative AI Developer (AIP-C01) Prep Notes
Architecture-focused prep notes for the AWS Certified Generative AI Developer Professional (AIP-C01) exam: Bedrock, RAG, agents, guardrails, cost and latency, evaluation, and common exam traps.
· 55 min read