AI agents
An agent reasons, plans and acts — which brings problems a chatbot never has. We write about tool design, orchestrating several agents, where to draw autonomy boundaries, and what breaks in the first week of production.
We dropped Jira: AI agents and a tasks.md that fills itself in
With agents, we stopped needing Jira. We track work in a tasks.md the agents keep up to date. What we gained, what we lost, and what is still unsolved.
AI chatbots for restaurants: bookings, orders and 24/7 service
What an AI chatbot really solves in a restaurant: bookings, orders, allergens and out-of-hours enquiries. Use cases, limits and costs.
AI Agents for Marketing: What to Automate (and What Not)
What an AI agent can automate in marketing: leads, SEO, reporting, and CRM. Real use cases, what never to delegate, and how to start the smart way.
How to Build a Custom AI Agent with LLM for Customer Service
Technical guide to building an AI agent with LLM models that delivers personalized customer service, overcoming the limitations of generic chatbots.
MCP: The Future of Enterprise AI Agents
What Model Context Protocol actually does, how the client-server architecture works, and where it beats custom tool integrations.
How to Build an AI Agent for Your Business
Step-by-step tutorial for enterprise AI agents. Architecture, MCP protocol, multi-agent patterns and best practices.
AI Agents for Business: What They Are, Use Cases, and How to Deploy Them
What is an AI agent, how it differs from a chatbot, real enterprise use cases by industry, ROI metrics, and how to assess if your business is ready.
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