Blog
Practical guides to AI agents and AI-native software.
Learn the basics
- 7 AI Agent Examples for Real Business Work
Seven practical AI agent examples, from support to invoices. See what each agent does, what tools it needs and where a person should stay in control.
- Agentic AI vs Generative AI: What's the Difference?
Agentic AI vs generative AI: generative AI creates content, while agentic AI takes action toward a goal. See how they differ, with simple business examples.
- Agentic Automation: What It Is and When to Use It
Agentic automation uses AI agents to pursue goals across real systems. Learn how it differs from traditional automation and where each one fits.
- Agentic Systems: How to Choose the Right Level of Autonomy
Agentic systems use AI models to decide what happens next. Use this ladder of design patterns to choose the least autonomy that does the job.
- AI Agent Workflows Explained: How They Work and When to Use One
An AI agent workflow combines fixed steps with AI decisions. See how it works, how it differs from a pure agent, and how to design your first one safely.
- AI Agents vs Agentic AI: Are They the Same Thing?
AI agents vs agentic AI: an AI agent is a piece of software, while agentic AI is the broader approach. Learn the difference and which terms matter when buying.
- Human in the Loop: What It Means for AI Agents
Human in the loop means a person reviews or approves an AI system's work at set points. Learn how it works for AI agents and how to avoid rubber-stamping.
- What Does AI-Native Mean? AI-Native vs AI-Enabled
What does AI-native mean? It describes software or companies designed around AI from the start. Learn how it differs from AI-enabled, with a simple test.
- What Is AI Governance? A Plain-English Guide
What is AI governance? It's the rules, roles and checks that keep AI safe, legal and useful. Learn how it works and how a smaller company can get started.
Compare your options
- Agentic AI Architecture: Why Multi-Agent Systems Fail
Good agentic AI architecture often means fewer agents. Learn why multi-agent systems fail, and the design rules that make them reliable.
- Agentic AI Automation: How to Deploy Agents Safely
Agentic AI automation gives software real permissions. Here are the controls to put in place before an AI agent touches your business systems.
- AI Agent Governance: A Simple Starting Policy
AI agent governance doesn't need a committee. Start with an agent register, risk tiers, approval rules and a one-page policy you can use right away.
- AI Agent Security: What to Check Before Launch
AI agent security comes down to what an agent can read, do and be tricked into. Use this pre-launch checklist to reduce the risk of real damage.
- AI Agent vs Chatbot: Which Do You Need?
AI agent vs chatbot: a chatbot answers, while an agent acts. Compare cost, risk and best uses, and see how to decide which one your business needs.
- AI Agents for Small Business: Where They Pay Off
Which AI agent for small business work pays off? See the best-fit tasks, what to avoid, how to work out the value, and how to start without a big budget.
- AI Implementation: A Practical First 90 Days
A practical AI implementation plan for your first 90 days: choose one process, measure a baseline, test on real work and decide with evidence.
- AI Readiness Assessment: 10 Questions to Ask Before You Start
A simple AI readiness assessment: answer 10 questions about your goals, data, systems, people and risk to find out what to fix before starting an AI project.
- How to Test AI Agents Before They Go Live
How to test AI agents: build a test set from real work, score the actions as well as the answers, run cases repeatedly and test for attacks before launch.
- RPA vs Agentic AI: How to Choose
RPA vs agentic AI: RPA follows fixed rules, while agentic AI pursues goals. Compare the two, find out if RPA is obsolete, and learn when to use both together.
Ready to build
- AI Agent Cost: What You Pay to Build and Run One
AI agent cost has two parts: the build and the running bill. See what drives each one, how to estimate cost per task, and what to ask for in a quote.
- AI Automation Services: What to Expect Before You Buy
AI automation services range from simple workflows to custom agents. Learn what you should get, which processes to automate first, and what to avoid.
- AI Integration Services: What They Include and How to Buy Them
AI integration services add AI to the software you already run. See what the work includes, how a project runs, and how to protect your existing systems.
- Build vs Buy AI: When a Custom AI Agent Is Worth It
Build vs buy AI comes down to five questions about differentiation, integration, data, volume and ownership. Use this framework to decide with confidence.
- Custom AI Development Services: What the Work Involves, Step by Step
Custom AI development services build AI software around your process and data. Here is how a project runs, when it's worth it, and what you should own.
- How to Choose an AI Agent Development Company
Choosing an AI agent development company? Use these eight questions to tell production engineers from demo builders, and spot the warning signs early.
- How to Hire AI Developers: Freelancer, In-House or Lab
Before you hire AI developers, decide which model fits: freelancer, in-house team or software lab. Compare them, and use these checks to test candidates.