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AI teams, in plain words.
Guides and explanations for people who want to put AI specialists to work, without the jargon.
How to make your AI agents use less energy: 6 practical habits
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.
Read the articleAI CV screening: how to keep a recruiter in charge
How AI CV screening works, step by step: reading the CV, scoring the fit, explaining why, and sending doubtful cases to a recruiter. With the risks to watch.
Read the articleWhat does an AI team really cost?
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.
Read the articleHow to build your first AI agent team without code
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.
Read the articleChatbot, agent, team or workflow: which one do you need?
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.
Read the article5 ways AI agents work together, in plain words
Sequential, concurrent, handoff, group chat, manager-led: the five ways AI agents collaborate, what each one is good at, and how to choose the right one.
Read the articleHuman in the loop: where a person should stay in charge
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.
Read the articleWhat is a VibeApp? The app that adapts to each person
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.
Read the articleHow to automate your HR pipeline with AI agents (without reading a single CV)
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.
Read the articleBYOK: why your AI platform shouldn't touch your tokens
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.
Read the articleSequential, Group Chat, Concurrent: the 3 AI team topologies you need to know
How you structure your AI agents matters as much as what they do. Here's a practical guide to the three collaboration topologies and when to use each one.
Read the articleWhat is a multi-agent system? (And why it matters for your business)
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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