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Guides and explanations for people who want to put AI specialists to work, without the jargon.
A team of thirteen AI agents is hard to read and harder to discuss. Groups give it a shape: what they are, what they are for, why they change nothing in how the team runs, and how to name them well.
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The Observation tab shows a whole organisation on one screen. Go down department by department to the member that consumes the tokens. How it works, step by step.
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Supplier invoices arrive as PDFs and someone types them into a spreadsheet. Here is how one AI agent reads each invoice, files it, checks its figures with a calculator and spots duplicates, and why one agent is enough for this job.
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Choosing a product means reading two shops, dozens of pages, reviews and specs in different units. Here is how a team of nine AI experts does it, one job each, and how to make it yours.
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A trip means flights, a hotel, transfers, a dinner and a budget that holds. Here is how a manager and twelve AI experts plan it together, while the traveller decides at each step.
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Every call to an AI model uses energy. Six habits that cut the calls you do not need: the right model size, AI only where it helps, short context, work kept instead of redone.
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How AI CV screening works, step by step: AI reads the CV, a program computes the score, fixed rules route the case, and a recruiter decides. With the risks to watch.
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The three costs of an AI team: the software, the AI models and the machine. What makes the bill go up, how to keep it under control, and what to compare it with.
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A step-by-step guide to building a team of AI agents with no code: pick a job, describe each role in plain words, choose how they work together, test and adjust.
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A chatbot answers, an agent does a task, a team shares a job, a workflow follows a fixed path. How to tell them apart and choose the right one for your work.
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A team of AI experts works like a human team. Sequential, concurrent, handoff, group chat, manager-led: the five ways they work together, what each one is good at, and how to choose.
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Human in the loop means AI stops and asks a person before certain steps. Where to put those stops, how to ask well, and the mistakes that make approval useless.
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A VibeApp is an application with a team of AI specialists behind it. You set the goal, it adapts and moves forward with you. Definition and examples.
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From job description to shortlisted candidates — here's how to build an AI agent team that handles the full hiring pipeline overnight, and what to watch out for.
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Most AI platforms sit between you and your LLM provider, marking up your usage and logging your prompts. Here's why that matters, and what BYOK actually means in practice.
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How you structure your AI agents matters as much as what they do. Here's a practical guide to three of the five collaboration topologies and when to use each one.
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Single AI agents are useful. Teams of AI agents are transformative. Here's what a multi-agent system actually is, how it works, and when to use one.
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