AI agents that run your agency's advertising: they plan, create, publish, manage and optimise every campaign across social and paid media, and send every click to an experience built to convert.
From brief to campaign
From a one-line objective to a campaign ready to launch, in minutes.
The brief arrives
The agent extracts goal, budget and markets, and asks the client for whatever is missing.
Agents work in parallel
Strategy, creative, experience, activation and QA prepare the campaign at the same time.
One approval
The person reviews the QA flags and launches. Later campaigns run inside authorised limits.
“We want to push the new Runner X in Spain and Portugal, around €40k a month, focused on online sales…”
Missing dates, landing and offer: asked the client
The challenge
Running social media and paid social today is a people-intensive process: teams, time and coordination for every client and every campaign. Growing means hiring, and margins cannot keep up.
The platform
Your agency does not need more tools, it needs an operating system: one loop that decides, executes and learns across media and experience.
Kernel 1
Daily social and paid media operations, run by agents.
Kernel 2
What happens after the click, designed and tested by agents.
The team
Five agents —digital workers— and one orchestrator that distributes work, sets priorities, supervises execution and coordinates. People govern by exception.
Agentic orchestrator
Distributes work, sets priorities, supervises execution and coordinates the agents.
Strategy
Reads the brief, defines markets, audiences and media plan.
Creative
Generates variants and formats within brand rules.
Experience
Builds landings, configurators and post-click assistants.
Activation
Sets up and publishes campaigns, controls pacing and budget.
QA
Checks claims, brand and compliance before publishing.
Modules
Switched on in phases: start with operations, then add experience, experimentation and learning.
Daily social and paid media operations, run by agents.
Native and post-click experiences generated for every campaign.
Decides which experience each visit gets based on audience, context and goal.
Hypotheses, variants and controlled traffic to learn what works.
Exception inbox, playbooks and audit trail.
Per-advertiser memory that automates more over time.
From ad to experience
The click lands on an experience built for that ad, that audience and that moment. The attention the ad earns becomes a valuable interaction and a measurable conversion.
Social ad
Automated · one click
Decide the experience
Conversion
Booking, lead or sale, measured and attributed
Command center
One place to orchestrate agents, campaigns, experiences and results. Routine work resolves itself; the person only gets what needs judgement, with the agent's proposal already prepared.
Exception inbox
CPA 38% above target
Shift 15% of budget to TikTok and pause 3 ads showing creative fatigue.
Unvalidated price claim in 2 variants
Replace with the claim approved in the playbook and relaunch.
Comment with reputational risk
Reply drafted following the crisis protocol. Requires human approval.
Targets
Target ranges per indicator that we set with each agency and validate in the pilot.
Three value axes
Design targets to validate in the pilot, not guaranteed results. Conversion uplift needs a controlled experiment and could be nil.
Frequently asked
Operations end to end: they read the brief, propose plan and audiences, generate creative and variants, set up and publish campaigns, control pacing, monitor, build the post-click experiences, run experiments and prepare reporting. The team sets goals, approves and handles exceptions.
Meta (Facebook and Instagram), TikTok, LinkedIn, Google Ads and YouTube, plus each client's CRM and CMS via API or MCP. You can start with a single platform to measure cleanly.
Each advertiser's first publication always goes through human approval. After that, campaigns run inside authorised limits (budget, audiences, claims and brand rules) and anything outside them goes to the exception inbox. Every action is recorded in the audit trail.
Every account has its playbook: tone, fonts, approved claims, legal restrictions and spend thresholds. The QA agent reviews every piece before publishing and flags anything doubtful, and agents learn from human corrections.
No. It frees capacity: people stop building, reviewing and reporting routine campaigns and focus on strategy, clients and judgement. One operator can coordinate several virtual teams of agents and manage by exception.
By measuring from the first advertiser: manual-hours log, share of zero-touch operations, time to launch and an A/B against control for conversion, which depends on the statistical volume available.
In 30 minutes we'll show you how Twinny connects to your operation and starts delivering results from week 1.
