AI agents: build ones that do real work
Practical guides to designing, building and running AI agents for marketing and business operations, from research and reporting to lead qualification.
Skip the science projects. Each agent should have one clear job and one metric it has to move.
All AI agents posts
First AI agents posts are on the way. The topics below show what this category will cover.
What AI agents covers
From picking the right job to keeping an agent reliable once it ships.
Agent design
Choosing a job worth automating, scoping it tightly and deciding where a human stays in the loop.
Tool use
Connecting agents to the search, data and software they need to act, safely.
Workflows
Real builds for content, research, reporting and lead qualification.
Evaluation and cost
Testing agents before and after launch, and keeping run costs predictable.
→Want it done for you?
Have an agent built for your team
Agent work starts with its own AI agent audit to find where an agent saves real time or money, scoped before anything gets built.
Questions
What can AI agents do for a small business?
Good starting points are repetitive, multi-step tasks: researching and qualifying leads, pulling weekly reports, drafting content from briefs, and answering internal questions from your own documents.
What is the difference between an AI agent and a chatbot?
A chatbot answers questions in a conversation. An agent takes actions: it plans steps, uses tools and works toward a goal, like updating a CRM record or compiling a report.
How much does it cost to build an AI agent?
It depends on the job, the tools it connects to and how often it runs. We scope every build after an AI agent audit, so you get a fixed quote and a clear metric before any work starts.
Keep exploring
Find the job worth automating
Start with a free consultation. We will point to where an AI agent would save your team the most time.