Topic
ai-agents
The Monday Morning Agent Mandate
Before deploying an AI agent, define where assistance ends, authority begins, and human review must intervene.
The Agent With No Name
Before an AI agent reaches production, give it an accountable identity that makes its access, actions, and owner auditable.
Friday, 4:47 PM: The Agent Can Approve Payments
Broad OAuth consent can let an invoice agent approve payments. Learn how task-scoped access limits that risk.
The Monday Symphony Ran the Shop
Wix announced Symphony, proactive AI agents for small businesses. The key issue is the business decisions those agents can make.
The Friday Shutdown
AI agents can create company infrastructure fast. Here is how founders keep control of accounts, billing and shutdowns.
Friday, 4:47 PM: The Agent Will Not Stop Spending
Agent costs can run past a prototype budget. Build stop conditions, budget limits, and useful usage evidence before rollout.
What Changed Between Friday and Monday?
Copilot changed over the weekend? Use this checklist to isolate the client, plugin, policy, model, or service change behind it.
Three Approvals Arrive at 4:47 PM
Three approvals can arrive together. Learn how to rank refund, supplier, and campaign decisions by risk and reversibility.
The Rollout That Did Not Stop
Can a halted deployment still provision infrastructure? Learn the control-plane checks teams need before automation and AI agents act.
The Account Is Disabled. The Agent Is Still Running.
Disabling an employee account may leave their AI agent active. Learn how derived credentials keep production access alive.
The Monday Before Quarter Close
Can an AI agent enter SAP finance workflows before quarter close? Use this control-first test to decide.
The Checkout Button Nobody Governed
Browser agents can reach checkout. Here is how to separate browser access from authority to spend company money.
The Event Stream That Ate Lunch
Why lightweight event filtering can protect AI-agent budgets, cut latency and preserve capacity for complex cases.
Five Issues, One Monday
GitHub issue age does not determine whether Jules can safely own it. Use clear outcomes, boundaries, and checks instead.
Monday Morning: 47 Agents, 31 Owners
AI agents are multiplying. Learn how to build an ownership inventory before the next deployment creates an accountability gap.
Monday, 8:07 AM: The Agent Finds Production
Apigee MCP can put production APIs within an AI agent’s reach. Here is what platform and security teams should review first.
The Automation Broke Before Stand-Up
AI can draft a workflow in minutes. Before it runs, test what gets skipped, where failures appear and who owns recovery.
Monday, 8:07 AM: The Agent Goes Live
Your AI agent is approved for support and billing. Who owns the first costly mistake? Fix the accountability gap before launch.
The Ten Seconds After You Press Go
Before trusting a browser agent, watch these ten seconds. Learn what its cursor, confirmations, and recovery behavior reveal.
The Provisioning Speedrun: What an AI Agent Actually Stood Up by 9 AM
One API can start a workflow. Can it safely form a company by 9 a.m.? Here is the evidence a real provisioning speedrun must show.
What "Multi-Agent" Actually Means When You Click Into It
Multi-agent AI sounds like a digital team. Five decision logs reveal whether the agents truly coordinate or merely pass work along.
The Memory Claim Nobody Verified
Before trusting an AI memory claim, test what it recalls, forgets and misapplies after fifty conversations.
The Agent Used the Right Login for the Wrong Job
Your agent logged in correctly. Learn why the task can still be unauthorized and where to enforce the final production check.
The Commit That Was Not Yours
Found an unfamiliar AI-authored commit? Learn how to trace its origin, contain access and restore safe merges without trusting the diff alone.
What "Agentic" Actually Means vs. What Vendors Sell
Can an “AI agent” actually plan, use tools and adapt? Use this practical test to separate real agency from renamed chatbots and workflows.
The 2AM Deploy Nobody Approved
A 2 a.m. agent deploy exposes the danger of default write access. Learn where approval controls fail and how to contain them.
The Workflow Was Wrong, Not Broken
AI agents can complete every task and still fail the business. Here is how to test workflows, assumptions and outcomes before automating them.
Three Bots, One Monday Queue
Three bots process one queue differently. Here is how to test automation governance before a deadline exposes the gaps.
The Shipment Statuses That Changed at 3:17 AM
A 3:17 a.m. timestamp proves little. Learn how to separate confirmed shipment updates, failed attempts and records an agent missed.
GitHub Copilot Agent Plugins 1.0: Why Narrower Authority Made Maya’s Release Safer
GitHub Copilot Agent Plugins 1.0 is here. Learn how to test permissions, review costs and real workflow value before granting access.
The Unit Mismatch NASA Missed, and What GitHub’s GA Label Cannot Prove
GitHub Agent Plugins 1.0 is GA. Learn what that label changes, what it cannot promise, and how to test the real productivity gain.
How Do You Safely Launch an Anthropic API Support Agent?
Build your first Anthropic support agent with controlled tools, evidence-based tests, human approval and a safer path to automation.
LLM Attack Surface: How a Poisoned Document Exposed a Refund Agent’s Authority
Prompt injection is one doorway. Map the hidden LLM attack paths through retrieval, tools, memory, logs, credentials and downstream actions.
Priya’s agent probed payments. She had minutes to stop the supplier batch.
A harmless-looking tool call may be your first rogue-agent warning. Learn how to detect, investigate and contain it before damage follows.
What Must You Verify Before Approving an Agent’s 2:13 a.m. Production Fix?
An agent wants to change a production security control at 2:13 a.m. Here is the evidence an on-call engineer should demand first.
Lena’s Agent Sent an Unauthorised Payment. Payroll Was Due That Week.
Your AI agent knows every step. Before it acts, define who can approve what, where it must stop and how every decision is recorded.
AI Coding Agent Risk Thresholds: How Priya Narrowed a Production Rollout
Turn a critical risk memo into a clear rollout decision with evidence, limits, owners and rollback conditions before production changes begin.
Why Did Authorizing Every Step Still Break Production on Friday?
Every agent action was approved. The order in which they ran is what broke production. Why sequencing, not authorization, is the real agent risk, and how to check your workflows before Monday.
The Stale Config File Northwind's Agent Trusted, and the Database Cluster It Provisioned
One malformed API call from an AI agent can provision the wrong service on a Friday. A practical checklist for permissions, approvals, and rollback before launch.
The 1999 Metric Mixup That Explains Agent Plugins 1.0.0
Agent Plugins 1.0.0 defines portable agent extensions. The skills bundle well, but MCP dependencies and portability claims need a skeptical read.
Amelia's unapproved AI account, a potential data leak.
An AI agent created an unapproved company account. Trace the missing human approval from prompt to potential data risk and legal ownership.