AI Agents
25 articles on ai agents. Page 1 of 2.
How to Prepare Your Engineering Org for AI Agents
AI agents will land in your engineering org whether you're ready or not. The four artifacts that determine whether deployment goes well — or produces incidents.
How to Deploy AI Tools Without Losing Team Trust
AI tool rollouts that lose team trust never recover. How to deploy without surveillance vibes, without skipping engineers' judgment, and without breaking the things that work.
How to Safely Deploy AI Agents in Engineering
A concrete deployment playbook for AI agents in engineering: scope limits, authority boundaries, audit trails, and the kill switches you need before launch.
10 AI Agent Failure Modes Nobody Warns You About
Most AI agent failure modes are unfamiliar to teams deploying their first agents. Here are 10 specific failures that vendors rarely mention and you should plan for.
14 Risks of Deploying AI Agents Without Authority Infrastructure
Authority infrastructure determines whether agents work safely or produce incidents. Here are 14 specific risks of deploying agents without it.
13 Boundaries Every AI Agent Needs (And Most Don't Have)
Most AI agents are deployed with implicit boundaries — which means no real boundaries. Here are 13 specific limits every production agent should have.
7 Questions Every CTO Should Ask Before Buying AI Agent Tools
AI agent tools are being sold faster than they can be evaluated. Here are seven questions every CTO should ask vendors before committing to a deployment.
11 Ways to Make AI Agents Accountable in 2026
AI agents cannot bear accountability themselves — but their actions can be made accountable through specific infrastructure. Here are 11 ways to build it.
9 Signs Your Company Isn't Ready for Autonomous Agents
Autonomous agents amplify whatever organizational infrastructure they're deployed into — for better or worse. Here are 9 signs your company isn't ready yet.
10 Mistakes Companies Make Deploying AI Agents
Most AI agent deployments fail in predictable ways. Here are 10 mistakes we see repeatedly — and what to do instead at each stage of the deployment.
12 Things AI Agents Cannot Do (And Never Will)
Some AI agent limitations are temporary — others are structural. Here are 12 things AI agents cannot do, and why several of them will never change.
8 Ways AI Agents Quietly Fail in Engineering Workflows
AI agents in engineering workflows fail in subtle ways that look like success. Here are 8 specific failure modes and how to detect each one before it becomes a problem.
15 Questions to Ask Before Deploying AI Agents in Your Company in 2026
AI agents are being deployed faster than the infrastructure to govern them. Here are 15 questions every company should answer before any agent goes into production.
Limitations of Autonomous AI: What Agents Can't Do
An honest accounting of what autonomous AI cannot reliably do in 2026 — and the right model for each limitation. Not anti-AI. Just accurate.
AI Agent Risks in Enterprise: What Leaders Miss
Five enterprise AI agent risks most leaders underestimate — from authority violations to accountability gaps — and the structural fix for each.
AI Agents vs. Humans in Decision Making
The real question isn't whether AI is smarter than humans. It's which decisions belong to which category — and why governance matters more than capability.
Why AI Agents Fail in Operations
AI agents look like magic in demos and break in production. Here are the three failure modes that cause it — and the architecture that actually works.
Accelerating Team Output With AI Without Replacing
Teams that replace human judgment with AI see a velocity gain followed by a quality cliff. Here's how to accelerate output by augmenting instead.
Human-AI Collaboration Framework for Operations
Human-AI collaboration fails when roles aren't declared. Here's a framework that defines what humans own, what AI owns, and where the boundary sits.
AI Tools That Amplify Instead of Replace
Most AI copilots are designed for replacement, not amplification. Here's a five-question framework to evaluate any AI tool before your team adopts it.
AI Augmentation vs. Automation: What's the Difference
Automation replaces human processes. Augmentation makes them more effective. Learn why the distinction matters for knowledge work and team performance.
Tracking AI Decisions: The Audit Trail You Need
Logs tell you what happened. Decision trails tell you why it happened and who authorized it. Here are the four fields every AI decision record needs to be useful.
Human-in-the-Loop AI: Why It Matters at Work
HITL AI isn't about approving every action — it's a governance model where humans set authority boundaries and AI escalates when it hits them. Here's what good looks like.
AI Agent Oversight: What Good Governance Looks Like
Human-in-the-loop approval at scale is just a new bottleneck. Good AI agent governance defines authority boundaries and automates escalation — here's the model that works.
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