Articles and guides about AI agents
Practical content for selecting, configuring, and using AI agents at work.
What is an AI agent and how does it work in business?
A practical guide to understanding AI agents.
Read the article →How to use AI agents in a small business
Choose the first tasks to automate.
Read the article →Which tools can connect to an AI agent through an API?
Explore possibilities, limits, and security.
Read the article →Which LLM models can be connected to AI agents?
GPT, Claude, Gemini, and other families: how agents select the best model.
Read the article →How to create an AI agent: 9 steps from idea to operation
A practical guide to process design, data, tools, integrations, testing, security, metrics and continuous improvement.
Read the article →AI agents for WhatsApp: how they work and when to use one
Learn what an AI agent can do on WhatsApp and the integration, privacy and human-handoff controls required.
Read the article →How much does an AI agent cost? A total-cost guide
Understand AI agent implementation, usage, integration and maintenance costs and learn how to compare proposals.
Read the article →AI agents for sales: use cases, benefits and implementation
See how an AI sales agent can respond, qualify and organise opportunities while preserving commercial control.
Read the article →AI agents for customer service: uses, benefits and controls
Learn how AI agents can support service, triage and support without losing quality or human oversight.
Read the article →AI agent vs chatbot: the differences and when to use each
Compare AI agents and chatbots across autonomy, context, integrations, cost and real use cases.
Read the article →Types of AI agents: how they work and how to choose
Understand reactive, model-based, goal-based, utility-based, learning and multi-agent systems.
Read the article →AI agent for finance teams: a practical workflow and software examples
See how an AI agent can organise documents, validate data, prepare entries and flag anomalies with human approval.
Read article →AI agent with n8n: how it works and when to use it
A practical guide to designing an AI agent with n8n, tools, controls, workflow example and limits.
Read the article →AI agent with ChatGPT: configured assistant or operational agent?
Understand the difference between a custom GPT, an API-based agent and automation connected to company systems.
Read the article →Free AI agent: possibilities, limits and real costs
What can be tested for free and which costs, limits and risks matter before production.
Read the article →n8n vs Make vs Power Automate for AI agents
A practical comparison by ecosystem, control, team capability and governance.
Read the article →AI process automation: a practical guide
How to combine rules, AI, integrations and human approval in a measurable process.
Read the article →How to train an AI agent with company data
Instructions, knowledge bases, RAG, document quality, access, tests and updates.
Read the article →AI agents and data protection: a practical guide
Lawful basis, minimisation, access, vendors, records and human review for AI agents.
Read the article →How to calculate the ROI of an AI agent
Formula, costs, benefits, baseline, payback and metrics for evaluating an agent without promises.
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