A marketing teamthat never sleeps,argues, or forgets.
AdTeam.ai turns the agency retainer into a loop. Give it a brand and it researches the market, writes a strategy, makes the creative, launches it, reads the numbers, and rewrites its own plan. People approve things; they don't write them.
- Product
- AdTeam.ai
- Category
- Autonomous marketing
- Role
- Architecture & full-stack
- Shape
- Multi-agent, human-in-the-loop
- Live
- Visit site ↗
Marketing is mostly waiting
The work itself — a keyword study, ten ad variants, a landing page, a weekly performance read — is not slow. The waiting is: for the brief, for the creative round, for the approval, for the agency's Tuesday. By the time a campaign is live the market has moved, and by the time anyone reads the report the budget is spent. Small teams get the worst of it, because they cannot afford the people who do the waiting on their behalf.
- Weeks between insight and a live campaign
- Creative volume capped by human hours, so nothing is properly tested
- Optimisation happens on a reporting cadence, not a data cadence
- Brand voice drifts the moment more than one person writes
“The work isn't slow. The waiting is.”
The insight the product is built on
Six specialists, one loop
Rather than one model asked to do marketing, AdTeam runs a pipeline of narrow agents with explicit contracts between them. The Researcher reads the market and the competition. The Strategist turns that into positioning, audiences and budget splits. The Copywriter and the Designer produce assets against a brand kernel — voice, palette, claims, prohibitions — so output stays on-brand without being reviewed line by line. The Launcher publishes to the ad platforms. The Analyst reads performance and feeds it back to the Strategist, which is what closes the loop.
- Researcher — market, competitor and audience intelligence
- Strategist — positioning, segments, channel mix and budget allocation
- Copywriter — headlines, body, variants, all against the brand kernel
- Designer — creative assets sized per placement
- Launcher — publishes and schedules across connected ad accounts
- Analyst — reads spend and conversion, and rewrites the strategy
Nobody is inthis meeting,because there isn't one.
This is the shape of a working day: the Analyst reads what the Launcher shipped, tells the Strategist, and the Copywriter rewrites on the winning angle — inside a budget it cannot exceed.
- idle…
BRAND KERNEL ENFORCED
46% OF BUDGET
32% OF BUDGET
22% OF BUDGET
Autonomy you can actually hand the credit card to
Fully automated is easy to demo and frightening to deploy, because the failure mode is spending real money on a confident mistake. The design answer is gates, not supervision: budget ceilings enforced below the agent layer, approval checkpoints that a brand owner can tighten or release per campaign, every decision written to an audit trail with the evidence that produced it, and a rollback that pulls creative from live platforms. The brand kernel is enforced as a constraint, not a prompt suggestion — the generator cannot emit a claim the brand has prohibited.
- Hard budget ceilings enforced outside the agent's reach
- Per-campaign approval gates, from full autonomy to review-everything
- Decision audit trail: what it changed, why, and on what evidence
- One-click rollback of live creative across connected platforms
- Brand kernel as a hard constraint on generation, not a hint
- 6 agents
- Specialists, each owning one stage
- 5 channels
- Search, social, display, email, landing pages
- 24/7
- Optimisation loop, not a monthly report
- 1 brief
- What a human has to write
A founder writes one brief, then watches the campaign build and improve itself. There's a hard limit on what it can spend, and a record of every decision it made and why.
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