Writing

Notes on building, governing, and running AI agents.

Practical pieces for the people putting agents into production: how multi-agent workflows actually fit together, what it takes to keep them EU-resident, and why memory is the thing that makes agents useful past the first session.

How to build an AI team for your small business, without hiring

A practical guide to composing an AI team: which job to hand over first, what to add second, and how separate agents compound into a team that works together.

How to get a system map from your existing code

You inherited a codebase and nobody knows how it fits together. Here is how an agent builds an interactive system map from the code itself, and what you can do with it.

What is an AI support agent, and what can it actually do?

An AI support agent answers your customers, fills in forms, and files structured bug reports, in your brand and sandboxed. Here is what that means, how it differs from a chatbot, and how a small business runs one.

From prompt engineering to agent teams: where working with AI is heading

From typing prompts to directing an AI team: the short history of working with AI, where GATE fits now, and where agent-to-agent networks take it next.

AI employee vs hiring: which makes sense for a small business?

An honest comparison of an AI employee and a new hire for a small business: what each really costs, where an AI employee wins, where a human still wins, and how most small teams use both.

What is an AI sales agent, and what can it actually do?

An AI sales agent runs outreach end to end: it builds the list, writes each message, follows up, and books the meeting. Here is what that means, how it differs from a sequencing tool, and how a small business uses one.

What is an AI onboarding assistant, and what can it actually do?

An AI onboarding assistant is a bot that already knows your company and guides every new hire from day one, answering their questions in chat or Slack and ramping them through their first weeks. Here is what that means and how it works.

An AI onboarding assistant for new hires: how it actually works

How an AI onboarding assistant gives every new hire a bot that already knows the company, answers their questions in chat or Slack, and ramps them in days.

AI landing pages for small business: how an agent builds and ships them

Not a template builder. Here is exactly how an AI agent builds a real, conversion-first landing page live on your own domain in hours, and edits it when you ask.

How an AI sales agent books meetings for you: from prospect list to booked call

An AI sales agent does not just draft emails. Here is exactly how one builds the list, researches each prospect, writes by hand, follows up, and books the meeting.

An AI assistant on Slack: one company brain your whole team can ask

Put an AI assistant in your Slack that knows your company. Anyone types a question, it answers from your real files and decisions, onboards new hires, and does the work.

Why a fleet of agents beats one AI chatbot for your business

One chatbot answers questions. A fleet of agents runs the work. Here is why Intelligent Multi-Agents beat a single AI chatbot for actually running a business.

What are Intelligent Multi-Agents (IMA)?

Intelligent Multi-Agents are a coordinated fleet of AI agents that share one memory and do the work. Here is what IA and IMA mean, and how they differ from a chatbot.

AI marketing for small business: what an AI marketing agent actually runs

Not another tool that hands you a draft. Here is exactly what an AI marketing agent does for a small business, campaign by campaign, from the ad budget to the landing page to the follow-up.

AI customer support for small business: how an agent runs your support queue

Yes, an AI agent can run your support queue, not just deflect tickets with a chatbot. Here is exactly how it reads a ticket, answers from your own docs, does the follow-up, and what stays human.

AI sales agents that book meetings: how the booking actually works

Yes, an AI sales agent can book the meeting for you, not just send messages. Here is exactly how it gets from a reply to a confirmed slot on your calendar, and what stays human.

How to choose an AI platform for your small business

A plain-language buyer's guide for 2026. The seven questions that actually matter when you pick AI for a small business, and the one mistake that costs the most.

Why a generic AI chatbot is not enough to run your business

A chatbot answers questions. A business needs consistent, on-brand work that gets done. Here is the gap between generic AI and your company's own AI, and why it matters.

How a small business actually starts with AI agents

The hard part is not the technology, it is knowing where to start. A practical, no-jargon guide to putting your first AI agent to work without a tech team.

AI content writing for small business: how to keep publishing without a writer

Most small businesses stop publishing because writing consistently takes time nobody has. An AI content agent keeps the cadence, in your voice, on the topics buyers search.

AI sales outreach for small business: fill your pipeline without a sales team

Most small businesses have a thin pipeline because nobody has time for outreach. An AI agent does it consistently: builds the list, writes it, follows up, books the meeting.

How to automate your small business with AI, and what to do first

The fastest way to automate a small business with AI is to hand over whole jobs, not single tasks. Here is what to automate first, and what to keep human.

Who wins Europe's AI tech scene?

Europe's AI race won't be won by the best idea or the biggest round. It will be won by whoever already has a platform doing real work in production. Here is why.

What is an AI employee, and what can it actually do?

An AI employee does a real job end to end, it does not just answer questions. Here is what that means for a small business, what it can do, and how you manage it.

Model-agnostic AI: don't bet your stack on one model

What model-agnostic AI means, why single-model lock-in quietly becomes expensive, and what to ask an agent platform before you commit your business to it.

Why your AI agents should keep a record of their mistakes

A durable, written record of past errors turns a capable AI agent into a reliable one. Here is how a lessons log compounds and beats raw chat history.

Why AI agents need memory: context that compounds vs session resets

The difference between stateless chat and agents with persistent memory, why it changes what agents can do, and the payoff of context that compounds over time.

Not every feature needs its own agent

A restraint principle for agentic architecture: fold most capabilities into existing flows, and reserve standalone agents for work that truly needs one.

Running AI agents in the EU: data residency, GDPR, and the EU AI Act

A practical guide to keeping AI agent workloads EU-resident: what GDPR means for model traffic, what the EU AI Act asks of deployers, and how EU hosting helps.

Let your AI agents open pull requests, not commits

The safest way to put AI to work on a codebase: agents work on a branch, open a pull request, review their own diff, and a human merges. Here is why.

Multi-agent AI workflows, explained

What a multi-agent AI workflow is, how it differs from a chatbot, and when you actually need coordination and delegation, with a concrete coder-reviewer example.