How to Turn an SOP Into an AI Agent
A written SOP is most of the spec for an AI agent. Eight steps to convert one, with a design studio’s proposal process as the example: 31 of 34 matches in testing, then proposals out in hours.
AI Agents
AI agents are the part of this site I build most. An agent reads context, decides the next step and uses tools inside limits you set, which makes it useful for the messy, branching work that plain automation can’t handle. These guides cover when an agent is worth building, how to design one, what it costs to run and where it breaks.
Start with the quick intro to AI agents for online businesses, then when to use AI agents to check whether your workflow is ready. Building AI agents for sales and AI agents for marketing are the most-read function guides, and how much an AI agent costs covers the budget.
Every build here starts narrow, with a human approving anything customer-facing until the agent earns more room.
How to Tell If Your AI Agent Is Working
Most AI agents only get checked for whether they ran. A weekly routine and seven metrics to check they were right, with client cases where a healthy-looking number hid the problem.
AI Agents vs Automation: What to Build This Week
Most small teams don’t need to replace automation with agents. They need to draw a clean line between fixed execution and messy judgment, then build one narrow hybrid workflow that proves itself.
AI Agents for Startups That Actually Ship Work
AI agents help a startup most on one repeated, text-heavy task such as support triage or lead qualification. I show you how to give each agent a clear trigger, narrow tools, an approval step and a decision log before adding autonomy.
AI Agents for Customer Support: What Actually Works
AI agents for customer support earn their keep when they complete work inside your support stack. This guide shows how to connect the data, actions, escalation path, and metrics you need to build one this week.
When to Use AI Agents: A Founder’s Decision Guide
Use an AI agent when repetitive work has volume, branching decisions, measurable cost, and safe recovery. This founder’s guide shows when scripts, chatbots, or humans are the better choice.
Best AI Agent Platforms: 10 Practical Picks
The best AI agent platform is the smallest one that can reach your workflow’s data. I compare ten, from Zapier Agents and OpenAI GPTs to LangGraph and Agentforce, by what you can build this week and where cost or risk shows up.
AI Research Agents: A Marketer’s Guide
AI research agents can write fluent, cited reports and still miss the one source that changes a pricing or positioning call. Here is how the research loop works, where it fails, and how to build one you can check.
AI Content Agents: Scale Without Losing Brand Voice
AI content agents pay off when you build context, architecture and governance around them. A hybrid human-in-the-loop setup with claim extraction and a source whitelist scales output without the brand drifting or claims going unchecked.
AI Agents for SEO: How to Build, Run, and Scale Them
AI agents for SEO pay off when they run a controlled loop of perceive, plan, execute and validate. Start with reversible technical fixes and striking-distance pages, and open drafting only after your QA gates hold.