Guides and checklists from people who put agents to work inside real operations. For those who will hire, and for those who will build.
ProductionOct 19, 202612 min read
More than 120 things to check before an AI agent touches a real order, invoice or customer. And why you’ll still need your team.
Read the article →CostsOct 19, 20266 min read
The model bill is usually the smallest part. The components of the real cost of an AI agent in production, and how to work out what each resolved case costs.
ProductionOct 19, 20265 min read
Knowing the agent ran isn’t enough. What to log to understand why it decided, find silent errors and answer an audit.
OperationsOct 19, 20265 min read
Solve what it can, hand off to the right person and keep the context along the way. What separates a useful WhatsApp agent from a bot that drives customers up the wall.
TechnologyOct 19, 20265 min read
The AI model is just one piece. State, tools, limits and logging decide whether the agent is reliable. What to ask before you hire.
OperationsOct 19, 20265 min read
Deadlines, court notices, first drafts, contract triage. A guide for law firms and in-house legal teams to decide what the AI agent does and what stays with the lawyer.
OperationsOct 19, 20265 min read
Leads answered instantly, service appointments booked, the shop keeping customers posted. What an AI agent can read and write in a dealership’s DMS and CRM, and where it always stops.
Security & privacyOct 19, 20265 min read
An AI agent reads, decides and acts on personal data. Where the exposure points are, what to ask of your vendor and what needs to be ready before you switch it on.
Security & privacyOct 19, 20265 min read
Health data gets the strictest protection under privacy laws. How an AI agent can work at clinics, hospitals and insurers without exposing the patient or the organization.
ProductionOct 19, 20265 min read
The pilot proves the model answers well. Production means proving your operation can live with the agent every day. Where projects stall, and what to do before you start.
CostsOct 19, 20265 min read
Building agents on your own framework looks cheap at first. What really goes into the math: upkeep, audits and who answers when it breaks.
Getting startedOct 19, 20265 min read
The difference between a chatbot and an AI agent comes down to who decides the next step. What changes in practice, and how to pick the right one for each process.
TechnologyOct 19, 20265 min read
No-code tools and custom code lead to very different agents a few months in. Who builds, who maintains and where each path gets stuck.
ProductionOct 19, 20265 min read
The agent that makes it out of pilot almost always has an engineer sitting next to the team behind it. What that person does, how they work and what to expect from them.
Getting startedOct 19, 20266 min read
Before choosing a tool or a model, three decisions determine whether your first agent will work: which process, who owns it and how it runs today.
Getting startedOct 19, 20265 min read
The questions that separate people who deliver an agent that lasts from people who deliver a demo. And what each weak answer usually hides.
TechnologyOct 19, 20265 min read
The model that tops public benchmarks is rarely the best for each of your agent’s tasks. How to choose, test, keep a fallback and switch without rebuilding everything.
OperationsOct 19, 20265 min read
Human approval on everything stalls the agent. On nothing, it becomes a risk. How to design, case by case, the points where the agent stops and calls someone on the team.
TechnologyOct 19, 20265 min read
Integration is usually the step that delays an AI agent project the most. What weighs on the timeline, and what you can sort out before you start.
TechnologyOct 19, 20265 min read
One agent coordinating others looks like the natural answer for big processes. How the supervisor pattern works, when it pays off and where it usually goes wrong.
TechnologyOct 19, 20266 min read
MCP standardized how AI agents connect to systems. How it works, and why identity, permissions and auditing are still your problem.