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Clear, honest answers on AI agents

A plain reference on what AI agents are, how they work, and how teams put them to use without overreaching. Browse the knowledge base below, or start with the free fit checker.

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Twenty-three plain, source-attributed guides, organized as a knowledge base. Jump to a shelf, or open the full guides index.

Agent foundations

foundations

What is an AI agent, in plain terms?→A clear definition that separates an agent from a basic chatbot. Agent vs. automation vs. chatbot→Three terms that overlap in marketing but mean different things.

How agents work

internals

How does an AI agent loop actually work?→The observe, plan, act, and check cycle, explained simply. What is tool calling, and why do agents need it?→How a language model reaches beyond its own text to take action. How does memory work in an AI agent?→Short-term context and longer-term stores, kept separate and simple.

Tools & frameworks

tooling

What are agent frameworks, and what do they provide?→A neutral overview of what this category of software handles for you. Single agent or multiple agents: which is better?→When splitting work across agents helps, and when it adds cost.

Use cases

in practice

How are AI agents used in customer support?→A realistic look at what agents handle, and where people stay in the loop. Can AI agents do research and summarization reliably?→What agents are good at here, and the checks that still matter.

Building & evaluating

practice

How do you design an AI agent from the goal backward?→A plain order of decisions that keeps an agent focused and testable. How do you tell whether an AI agent is actually working?→Evaluation is the step most skipped, and the one that matters most.

Adoption & safety

rollout

How should a business adopt AI agents without overreaching?→A staged approach that starts small and keeps control. How do you evaluate a company that builds AI agents or automation?→Plain checks before trusting a provider with a workflow.

Automation & integration

integration

How do I connect my first API to an automation platform?→A step-by-step walkthrough of authentication and a first working request.What is the difference between webhooks and polling?→When each approach makes sense for your automation.How do I keep API credentials secure in my automations?→Practical steps to prevent leaking API keys and tokens.What is the easiest way to test an automation before going live?→Safe testing strategies that avoid touching production data.How do I handle errors when APIs go down or respond slowly?→Build resilience into workflows for when external services fail.Can I automate workflows across different AI tools and services?→Connect language models, AI APIs, and business tools in one workflow.How much does it actually cost to run automated workflows?→The real expenses: platform fees, per-call API costs, and throughput.Why is my automation running twice or skipping runs?→Common causes and fixes for inconsistent workflow execution.Why does my automation not connect to a specific service?→Diagnose authentication and API access problems step by step.Should I use a no-code platform or write custom code?→When a visual workflow is enough, and when you need a developer.