In development · early access by request
Your AI. Your ad accounts. Our agency playbooks. AdCtrl plugs direct platform access and real agency methods into ChatGPT or Claude, so the assistant you already use can investigate, decide and do the work.
Built for Google Ads, Meta Ads, Google Analytics and Tag Manager. Customer access is not open yet.
Meta results dropped last week. What happened, and what should we do about it?
Frequency rising while tracking holds steady points at the creative, not the budget. Check creative age before touching bids.
Pause the fatigued ad. Launch two variants from the hypothesis below. Budget untouched.
Built to connect your AI with
Planned customer integrations. Each function depends on completed features, your account permissions and provider approval.
The walkthrough
Keep scrolling. Each chapter is one job, same shape of work: investigate the account, apply the method, prepare the change, approve it.
The mechanism
A capable model alone guesses well. Account access alone reports well. Agency method alone sits in a PDF. AdCtrl puts all three in one place, inside the assistant you already pay for, and gives it the tools to act.
| Search term | Clicks | Conv. | Intent |
|---|---|---|---|
| free crm template | 412 | 0 | Research |
| crm for agencies pricing | 96 | 7 | Buy |
| crm jobs | 188 | 0 | Off-topic |
| best agency crm 2026 | 140 | 3 | Compare |
Change history: bid strategy switched 12 days ago.
Direct access to campaigns, ad sets, search terms, conversion events and measurement setup. The assistant pulls what the question needs and shows you what it pulled.
Step 3 of 5. Off-topic and research terms go to the exclusion list first.
Diagnostic SOPs, technical implementation knowledge and repeatable workflows from agency work, supplied explicitly. The model knows which step it is on and what to rule out next.
Nothing is written until you approve. Result is read back after.
Supported changes are prepared as a proposal you can read: what, where, why. Approve it and the assistant carries it out and reads back the result. Hold it and nothing moves.
Agency knowledge, made operational
A playbook is not a folder of documents the model might glance at. It changes what the assistant checks, in what order, and when it stops to ask you.
“Our cost per lead doubled on Google. Fix it.”
Done in three lines. Reasonable. Generic. Nothing checked.
Specific. Ordered. Evidence attached. Waiting for your approval.
Illustrative comparison of approach. Not a benchmark of any model or agency.
What the assistant gets to read
AdCtrl ships with a retrieval layer built from mondaybrew’s own account reviews, diagnostic SOPs, technical setups and test logs. The assistant pulls the relevant method for the task at hand, not the whole library.
Knowledge base describes mondaybrew’s agency practice as reported by its founder. Own-SOP upload is a planned agency capability.
Jobs it can take
Not a creative studio. A working account manager that investigates, prepares and, once you approve, executes across the platforms your ads actually run on.
Intended scope. Each function depends on implementation, your account permissions and provider approval. Consequential writes always wait for your approval.
Your choice of AI
AdCtrl lives inside your assistant, so the model is your decision, not ours. When your plan gives you a newer compatible model, the same playbooks, account tools and approval flow are already there waiting for it.
We are building for ChatGPT and Claude. Model availability depends on your subscription and each host’s support. A newer model is access to better capability for the same work, not a guarantee of better results.
Us versus the usual options
Honest comparison. Good agencies exist and generic AI is useful. The point is what sits in the room when the work happens.
| In the room | Hire an agency | Generic AI chat | Do it yourself | AdCtrl |
|---|---|---|---|---|
| Model you choose | Theirs, if any | Yes | None | Yes |
| Direct account access | Yes | No | Yes | Yes |
| Agency methods applied | Varies by team | Generic | Your own | Explicit playbooks |
| Executes changes | Yes | No | You do | After you approve |
| Shows its evidence | Sometimes | Rarely | You find it | Every time |
| Adds your own SOPs | Maybe | Per chat | In your head | Planned upload |
| Gets better with new models | No | Yes | No | Yes |
AdCtrl column describes the intended product. Agencies and tools vary; compare before you buy.
For agencies
Put your methods, and ours, in front of every account review, campaign plan and creative round. Keep strategy and the relationship. Hand more of the execution to an assistant that works the way your best people do.
Early access for agenciesFor advertisers
Investigate your own accounts, understand what changed and prepare the fix without waiting on a ticket. Depend less on outsourced execution, and know more about where the money goes.
Early access for advertisersPricing
You are paying for access: the playbooks, the retrieval layer built on five years of agency work, and the tools that let your assistant act on your accounts. Your AI subscription stays separate and stays yours.
The price is being set with early-access members and will be announced to them first. No launch date, no discounts, no trial promises here.
Requesting access starts a conversation, not a subscription.
Why this exists
“I run an agency. I don’t think of myself as a Google Ads savant. What I have is a way of working: AI, direct account access and explicit methods for every job. AdCtrl is that way of working, packaged so you can use it in your own assistant.”
Founder’s own account of his agency practice. A substantiated case study will appear here when it is ready; we won’t publish numbers we can’t stand behind.
Practical questions
Not yet. AdCtrl is in development. Request early access and we’ll talk through what you want to hand over, then confirm timing before any onboarding.
Yes. AdCtrl runs inside a supported AI assistant rather than as its own app. Your AI subscription is separate from AdCtrl and stays yours.
That is the product: useful reads and supported writes, with an explicit approval step for consequential changes. Today’s owner-only tests are not a public service, and nothing is written without your say-so.
Google Ads, Meta Ads, Google Analytics 4 and Google Tag Manager form the advertising and measurement foundation. Each function depends on implementation, your account permissions and provider approval.
From agency work: diagnostic SOPs, technical implementation knowledge and repeatable workflows we use on client accounts. They are supplied to the assistant explicitly, so the method is visible in what it does rather than hoped for.
One subscription that covers the playbooks, the retrieval layer and the account tools. The price is being set with early-access members and announced to them first. Requesting access starts a conversation, not a subscription.
Connections use provider authorization, never your advertising password. Read the privacy policy for the current prototype’s handling of data and the disconnect and deletion instructions. Customer-product processing will be documented before launch.
Early access
Tell us what you would hand to your AI tomorrow if it had your accounts and our playbooks. We’re opening access slowly, to people who will use it properly.