What a Custom AI Agent Actually Needs Before You Build One
A custom AI agent needs a bounded decision surface, an escalation path, an evaluation loop, and proof a simpler rule wouldn't do the job. Here's the checklist before you build one.
Tag archive
#AI adoption
What Is AI Integration for Small Business?
AI integration means wiring a model into a workflow's data and approval points, not buying another tool. Here's the difference, with a worked example.
What Is AI for Business? A Plain Definition and Where It Actually Pays
AI for business means using models to do specific steps inside a workflow: reading, drafting, classifying, deciding within limits. Here is what that covers, where it pays, and where it does not.
AI for Restaurants: The Workflows Worth Automating (and the Ones That Aren't)
A breakdown of which AI workflows actually pay off in a restaurant, from phone automation to demand forecasting, and where the evidence for AI in the kitchen is still thin.
AI Automation Cost: What an AI Workflow Actually Costs After It Goes Live
The token bill is the cheapest part of an AI workflow. A breakdown of the five real cost lines, and why the exception rate decides the total.
AI Workflow Audit: Why Hours Saved Is the Wrong Score
Most AI workflow audits rank candidates by hours saved. That measures the prize, not the survival odds. Rank by reversibility and decision density instead.
AI Agent vs Chatbot: The Difference Is Write Access, Not Intelligence
An AI agent can change a record in your business. A chatbot only produces text. The difference is write access and escalation, not model intelligence.
How to Measure Whether an AI Workflow Is Actually Working
Time saved per task can improve while the whole process takes just as long. Here are the four workflow-level numbers that show whether an AI deployment changed anything.
What Should Stay Human When You Embed AI Into Operations?
A liability-based framework for deciding which decisions must stay human when you embed AI into business operations, and which are just coordination work.
Why Adding an AI Agent to a Broken Workflow Usually Fails
Adding an AI agent to a broken workflow rarely fixes it. Here's why the failure is usually the process, not the model and what to map before you automate.