From chat to agent
Move past one-off answers. Build agents that work with your files, projects, and instructions.
The problem
Most teams use AI every day. Few use it well.
"My work isn't really the kind AI can help with." We hear this constantly, and it is almost never true. Most people have only seen the shallow end: AI as a faster search box. They have not watched it take a real, repeating task from start to finish. The first time they do, the reaction is always the same: "wait, it can do that?"
The shift
We do not teach prompting. We build agents around your real work.
Your tasks, not toy examples
Sessions run on your briefs, data, templates, and recurring work. The next day use case is real.
Safe inside your walls
We respect access, data boundaries, gateways, and internal portals so pilots are realistic for IT.
What your team builds
Real work, handed off to agents
We start with the recurring digital work your team already carries. A few examples teams turn into agents with us:
Estimates from a brief
A costed estimate with formulas and the disputable lines flagged.
Proposals from a request
A structured proposal and a branded deck from a client request.
Research and monitoring
Competitors, cases, trends, and market signals gathered and structured.
Meeting to follow-up
Summaries, task lists, and the client email straight from a recording.
Case studies
Project actuals turned into portfolio drafts and social copy.
Document checks
Anomalies, broken links, and mismatches spotted across files and sheets.
Reusable skills
A repeating piece of work packaged into something the team can rerun.
Connected sources
Calendar, email, drive, CRM, and internal knowledge connected the right way.
Corporate program
From a shared base to shipped pilots
A cohort program that moves a team from first principles to working solutions in the right order. We pick pilots after the base, once people can actually see what an agent can do.
Base
Models, context, agents, security, and what is in or out of scope.
Data
What data is fit for AI work and how to prepare it.
Agent
Move from chat to an agent that works with files, projects, and instructions.
Pilot review
The team re-picks pilots with real understanding of the tools.
Implementation
Build working solutions for real processes and prepare them for your platform.
Demo Day
Show results, lock the scaling plan, and define each person's next automations.
It is normal for 40-50% of first ideas to change after the base.
That is the point: you choose pilots with your eyes open, not blind.
Two ways to work
Corporate, or one-on-one
For teams
A hands-on cohort for your department or company. Base, pilots, implementation, and Demo Day, run on your real processes inside your security contour.
1:1
For founders, managers, and freelancers who want AI built into their own workflow. We start from the work you actually do and leave you with agents that run it.
Tools
We teach on the tools that do real work
We work in Claude Cowork or Codex: real agent environments that handle files, projects, and multi-step tasks, not just chat. For enterprise, we set this up inside your corporate contour: gateway access, an internal AI portal, shared skills, and knowledge bases.
Founders
We have actually run production
We have not just used AI. We have owned delivery. Between us: 15 years in CG and video production, Head of Production and studio co-owners, deadlines, budgets, clients, teams, and 500+ delivered projects.
Egor Maraev
Builds the systems
Built a CG, motion, and AI-video studio. Now designs the agent workflows and methodology teams use to run them.
Kate Chernova
Leads delivery
15 years in CG, Head of Production, and studio co-owner. Brings production discipline to how AI lands in a company.
Who it is for
Built for teams that ship
Agencies and studios
Producers, account managers, and creative leads.
Corporate departments
Finance, legal, PR, IT, HR, and operations.
Founders and managers
People building AI into how they run the business.
Brand teams
Briefs, reporting, research, and market monitoring.
Outcomes
What you walk away with
→A shared language for AI across the team.
→A short list of pilots with owners, data, constraints, and success criteria.
→Working agents built on your real processes, ready to move into your platform.
→A scaling plan and each person's next automations.
"I started using automations right after the first lesson."
FAQ
Before we start
Do we need prior AI experience?
If your team already uses ChatGPT-level tools, that is enough to start.
Is our data safe?
Yes. We work inside your security contour and data boundaries, and scope pilots so IT can sign off.
Which tool do we use?
Claude Cowork or Codex, set up for your environment and the work your team needs to move.
How long is it?
A cohort runs in two stages: base, then implementation after a pilot review. Timing depends on your pilots and environment.
Remote or in person?
We work with teams across the EU and US, primarily remote, from our base in Lisbon.
Next step
Bring your real tasks. We will show you what runs.
If your team has AI tools but you are not sure they are getting anything real out of them, that is the problem worth looking at.