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The ADAM method · AI-first
The AI has already done the work. One thing is missing: a signature. Yours.
Analyze · Design · Amplify · Measure: four human phases, accelerated by a machine that has brakes. Our agents are connected to your systems — website, ecommerce, ad accounts, email — they read the real data and prepare the operations. Then they stop, exactly here.
Operation ready · paused
12 campaigns, €48,000 of budget, ready to go live.
Reversible in one click. Credentials protected. Nothing starts without you.
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THE DIFFERENCE
USING CHATGPT vs BUILDING SYSTEMS
The difference between “using ChatGPT” and building AI systems.
Let us be blunt, because this is the point: almost everyone “uses AI” today. They open a chatbot, have it write a couple of texts, and call it innovation. We do something else: we behave like a software house dressed as an agency. We build agents, systems and software with guardrails and governance, and we put them to work inside the client’s real systems. A chatbot gives you advice and waits for you to apply it by hand; one of our agents reads the real data from your campaigns, prepares the changes and runs them — after your confirmation. One writes; the other does.
“We do not sell AI. We solve problems that cost you money and time — using AI, wired live into your systems, safely.”
— The way we work
ONE CASE THAT SUMS IT ALL UP
60,000 products, a catalog that was a maze.
An ecommerce client of ours — a large garden center with more than 60,000 products — had an unmanageable catalog: thousands of isolated pages, variants of the same model scattered and unlinked, cross-selling lost and SEO suffering for it. We built an engine that automatically recognizes which products are variants of the same model and ties them together. Two thirds of the catalog reorganized, a few minutes for each update, with quality control at 99.3%.
But the part we are proudest of is not the speed: it is the rigor. The system is reversible (you can always roll back), deterministic (the same result every time) and tested like serious software — an automated check found a structural error across 553 products that the manual review had missed. That is the difference between “having AI write things” and engineering a solution.
THE COMMON THREAD
Three things you do not usually find in an agency.
There is a common thread holding together everything we do with AI, and it is three traits you normally only see in software houses. First, the guardrails: confirmations before acting, reversible operations, safety checks — we know where AI is dangerous, and that is where we put the brakes. Second, the governance: method, roles, checklists; the AI is organized, not left to chance. Third, hands-on work inside real systems: the AI reads and writes in the campaigns, in the site, in the catalog database — it acts, it does not just suggest.
That is what lets us promise something rare: power and safety in the same project. Because AI without brakes is not innovation, it is a risk you pay for sooner or later.
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IN PRACTICE
WHAT WE CAN DO WITH AI
Not “prompts”. Systems that work inside yours.
01 — CAMPAIGNS
Agents that run the campaigns
They talk in plain language to dozens of ad accounts, read the real data, create and manage campaigns. Always with human confirmation, and paused by default.
02 — CONTENT
Chains of AI that correct themselves
Not “a prompt”: a system with distinct roles — one produces, one critiques, one judges, one rewrites — that raises quality systematically.
03 — SOFTWARE
Software built from scratch
From the small missing tool all the way to a full company management system we use every day. When the right tool does not exist, we build it.
04 — QUALITY
An objective score for the writing
An engine that measures how well a piece of content is written, and exposes the empty phrases AI produces by default.
05 — RELIABILITY
A second engineer on the failures
When an ecommerce goes down or there is a security problem, AI works alongside us to diagnose and fix it fast.
THE PRINCIPLE
Connected to your systems.
The AI does not advise from outside: it works from within — safely and reversibly.
The ADAM method
If I had eight hours to chop down a tree, I would spend six sharpening the axe.
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THE RULE
THE HEART OF THE METHOD — ADAM + AI
AI accelerates. It does not decide.
Artificial intelligence is extraordinary at doing quickly what costs a person days: reading thousands of rows of data, reorganizing a catalog, preparing a hundred campaigns, translating an entire website. But the decision — where to go, what to risk, which road makes sense for your company — stays human. Always. AI takes away the blind, repetitive work and leaves us (and you) the work that counts: understanding and choosing. That is why inside ADAM the AI replaces none of the four phases: it powers them. Analyze deeper, Design faster, Amplify further, Measure in real time.
“Four human phases, accelerated by a machine that has brakes.”
— The principle of ADAM, today
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THE METHOD
THE FOUR PHASES
Four phases, each with its own AI leap.
A
01 / 04
Analyze
Understand before you move: market, data, competition and positioning, so you know where you are really starting from.
AI highlight
We connect AI to your systems and have it read the real numbers: sales, campaigns, traffic. Three years of data can become a 90-day plan.
D
02 / 04
Design
Give shape to identity and experience: brand, communication, website, content, all consistent with who you are and who you want to reach.
AI highlight
We design sites, landing pages and graphics in a fraction of the time, delivered as blocks your team edits on its own. We generate the images without a shoot. And when the right tool does not exist, we build it.
A
03 / 04
Amplify
Get found and grow: campaigns, SEO, advertising, foreign markets. We take your message where the customers are.
AI highlight
An agent connected to your accounts stops waste in real time and prepares complete campaigns in under an hour. We localize catalog and communications at scale to sell abroad, tuned to the way that market searches.
M
04 / 04
Measure
Measure to improve. No vanity metrics: we look at what brings sales and customers, and we optimize continuously.
AI highlight
Dashboards that bring all your sources together and show in real time where you are growing and where you are losing, with no waiting for reports and exports. AI reads the numbers, cross-references them and turns them into a short list of prioritized actions, always up to date.
THE PROOF — ADVERTISING CONTROL ROOM
One control room for dozens of ad accounts.
One of the problems we hear most often: “I spend on advertising but I do not know what is working, and managing it is complicated.” Our answer is a proprietary app that wires AI straight into the advertising API across dozens of accounts. It queries the real data, finds the waste, and gives you a dashboard where you manage campaigns by writing in plain language — but every operation starts in a paused state and needs your confirmation, with credentials protected.
Not a chatbot that comments: a reliable operating agent, with brakes. The result: less waste, decisions in minutes, complete campaigns you can launch in under an hour.
HONEST CRITICISM
Where AI should not be used (and why we tell you).
A promise of transparency, because it is how we work. AI is not the answer to everything, and anyone telling you otherwise is selling you something. There are points where we put the brakes on deliberately: before an irreversible operation, before touching sensitive data, before publishing anything to production. At those points the AI prepares, but a person decides.
And there are cases where, after the analysis, the right answer is “AI is not needed here” — and we say so, even when it means selling you less. Because our trade is not stuffing AI everywhere: it is solving the problem that costs you most. With or without AI. An ugly truth beats a pretty lie.
What is the problem
that costs you most?
Lost sales, wasted time or burnt budget: tell me which one, and I will show you how we have already solved it for another company — with AI wired into real systems, safely. We start with a free analysis: we look at data, processes and tools, and tell you where to start. With method, with the right brakes, and with the usual bluntness.