AD Media Solution
Revenue architecture and funnel frontend: white-label engineering partner for the commercial agency that drove portfolio sales.
AI campaigns
I run your campaigns on Meta, Google and other platforms with AI that reads the account and builds the reports in seconds. What changes is the time: the important decisions are still made by a person who knows your business.
Businesses and brands that advertise, or want to start, and need to know what's working without waiting for the end-of-month report.
If you're after a tool that spends on its own with nobody watching, this isn't for you. And if the budget is very low, the machine will have little data to learn from: I'll tell you before we start.
With Meta Ads, Google Ads and Analytics, models like Claude connected through their official connectors, n8n for the workflows and your CRM.
A film made in code, with sample data: what the machine does and the moment a person steps in.
Sample data
The machine knows what happened. It doesn't know your promo ends on Friday.
Monday morning: Meta, Google, Analytics, the CRM and a spreadsheet. Building the report by hand can take all morning, and by the time it's done the data is old.
AI already does much of an account's repetitive work. This is what I leave to it and what doesn't go out without a person.
The machine
Crosses platforms, explains what went up or down and builds the report in seconds.
A person
Chooses which number matters to your business and which question is worth asking.
The machine
Expands searches and audiences by intent, beyond what was set up by hand.
A person
Defines who you don't want to sell to, which areas you serve and which searches don't help.
The machine
Generates text, image and video variants to test many more ideas.
A person
Decides what can be promised, what sounds like your brand and which piece doesn't go out.
The machine
Adjusts bids and moves budget toward what responds, auction by auction.
A person
Sets the limits, the goal and the moments when the business overrules the algorithm.
The machine
Flags rejected ads, odd spending, broken pages and data that stops arriving.
A person
Decides what gets fixed now, what keeps running and when everything stops.
The machine
Takes each lead to the CRM and tells the platform who ended up buying.
A person
Defines what a good lead is. Your team knows that, not the platform.
Given a vague question, a model can state figures that don't match the platform. Every number that matters gets checked.
Its causes are hypotheses until they're measured. A sale arriving after an ad doesn't mean the ad brought it.
It doesn't know your stock, your season or what happened on the sales call. That comes from someone who knows the business.
The platforms change every month. This is what I reviewed in November 2026, with its source. I don't use all of it: I choose based on your case.
AI Max
Expands searches with intent signals and keeps brand, location and text controls. It left beta in 2026 and is replacing Dynamic Search Ads.
Source: GoogleAsk Advisor
A Gemini agent that joins Google Ads and Analytics to explain results and recommend next steps. It's in beta, for English-language accounts.
Source: PPC LandAsset Studio
Generates assets inside Google Ads from your brief, your website and your brand guidelines.
Source: GoogleGoogle Ads MCP
The official server that connects a model to the account. It queries data and, before writing, requires propose and confirm.
Source: GitHubMeta ads AI connectors
Official MCP server and command line, in open beta: reports, campaigns, catalogs and signal diagnostics. You can limit what each agent does.
Source: MetaAdvantage+
Automates audience, placements and budget. It's on by default for lead campaigns, and manual controls remain available.
Source: MetaAndromeda
The engine that picks which ads are in play for each person. It's built to handle far more creative.
Source: Meta EngineeringConversions API
Connects your CRM to Meta so the campaign aims at the leads most likely to convert.
Source: MetaSymphony Agent
Unveiled at Cannes Lions in June 2026 to speed up ad creation, find creators and scale content.
Source: ANAMadgicx · Birch · Smartly
Platforms to automate and optimize campaigns outside the native dashboards. The choice depends on the case and the budget.
Source: Segwise, comparativa de un proveedorAdCreative.ai · Pencil
They generate and score creative, but they don't manage campaign spend.
Source: Segwise, comparativa de un proveedorRevenue architecture and funnel frontend: white-label engineering partner for the commercial agency that drove portfolio sales.
I review the account, the tracking and what happens to the leads. We agree on what to change first, and what not to.
I organize the campaigns, connect reports and alerts, and we define what the machine does alone and what goes through a person.
I review the account, decide the important things with you and explain what changed. The accounts stay in your name.
Scope and price are set after the diagnosis.