We set AI up to do real work: process leads, prepare reports, work with your CRM and ad accounts. We write skills, connect MCP servers, build agents and teach you how to use all of it.
Eight building blocks of a working AI system, from a single skill to a team of agents working with your data.
We package your processes into skills: instructions, templates and scripts that Claude Code runs the same way every time, from reports to SEO articles and code review.
We connect your CRM, forms, messengers, spreadsheets and ad accounts so data moves on its own and nobody copies it by hand.
We give Claude and other AI tools access to your systems through the Model Context Protocol: CRM, Google Drive and Sheets, databases, Notion, ad accounts.
Agents that handle multi-step work on their own: processing leads, drafting proposals, watching ad performance and writing reports.
A chatbot or internal assistant that answers from your documents, price lists and policies instead of making things up.
Our home turf: AI analyses ad accounts, suggests creative ideas and copy, prepares reports and shows where the budget leaks.
We map your team’s processes and find where AI saves the most hours and money. You get a prioritised implementation roadmap.
We teach you and your team to work with Claude, Claude Code, skills and automations on your own, for business and personal use.
Typical tasks we move to AI in the first weeks.
We start small with a quick win, then scale what works.
We review your tasks and pick what to automate first.
1–3 daysA working version on your data, so you see results right away.
1–2 weeksWe integrate with your CRM, messengers and processes and set up monitoring.
2–4 weeksDocumentation, team training and access. Everything stays with you.
finalWe handle everything from the audit to launch and support.
We implement AI alongside your people so they can keep improving the system.
We set up Claude and Claude Code on your computer and teach you to use them every day.
A skill is a folder with instructions and, when needed, templates and scripts that Claude Code picks up when it sees a matching task. Your process (a report, an article, a deploy, a code review) then runs the same way every time without long explanations.
The Model Context Protocol is an open standard that lets an AI assistant connect securely to your tools: CRM, spreadsheets, documents, databases, ad accounts. Instead of pasting data into a chat, the AI reads and updates it within the permissions you grant.
Automation follows a fixed “if A, do B” scenario. An agent decides which steps and tools a task needs, so it copes with non-standard cases. A combination usually works best: stable steps as automation, judgement calls by an agent.
We grant the minimum permissions needed, use separate access keys and keep an action log. Critical operations, such as payments or emails to customers, still require a human to confirm.
It depends on scope: a single skill or automation takes a few days, an AI agent with integrations takes a few weeks. After a free audit we give you an exact price and timeline.
No. We hand over instructions and train your team. For personal use we set everything up on your computer and walk you through it on your real tasks.
