Autonomous
Advertising
Systems
A simple guide to building your autonomous advertising system — how data, agents, and workflows stack into one always-on engine that scales itself while you navigate.
Three layers, one always-on system
Measurement data is the foundation, agents are the context, and workflows are the engine — all with purpose-built tools, skills, and memory.
Full-funnel measurement across paid and organic channels — the clear view of impact and quality your agents need.
AI Coworkers with goal, funnel, and guardrail context, action-impact memory, and purpose-built tools.
Automate optimization, experimentation, and reporting. Always-on, with your playbooks embedded.
Reliable, API-based tools that reach well beyond ad platform actions: web search, ad libraries, keyword research, and more.
Repeatable capabilities like optimization and experimentation, each with dedicated subagents and tools of their own.
Past actions and their impact persist across runs, so the system compounds.
Stacked together — a performance marketing system that scales itself while you navigate.
Before you build
Your system is only as good as the measurement and channel context under it. With these four in place, you're ready to build agents and workflows on top.
Built for performance marketers
An AI Coworker is a teammate, not a chatbot. It helps your team iterate and scale faster to acquire the maximum number of quality customers. Create one from Create new… → AI Coworker.
The goals, funnel, and guardrail metrics it works toward.
API-based and reliable: metrics, ad libraries, ad actions, and much more.
Playbooks like optimization, each with dedicated subagents and tools.
Past actions and their impact, remembered across runs.
What good looks like: hold CAC under target while growing quality customers.
The funnel and metrics it optimizes toward, from spend to revenue.
The limits it can't cross: budget caps, thresholds, and what needs approval.
Reliable, API-based tools: web search, ad libraries, keyword research, and channel actions.
Optimization, experimentation, and scaling, each with dedicated subagents and tools of their own.
A record of what it changed and what happened, carried across runs.
Plan campaign updates and experiments with the coworker in chat.
Give explicit approval for any plan you want executed.
The coworker executes the optimizations and experiments.
✦ Approval-first by default. Every recommendation queues for your review. Flip on auto-approve when you're ready to hand over more.
Optimization that never clocks out
A workflow is an agent's playbook, made repeatable. Every one is made of the same four parts.
A daily or weekly cadence with the metrics, thresholds, and timing you set.
The coworker runs your playbook on real account data and decides on actions.
Each recommendation queues for review, or auto-approves within your guardrails.
Results post to a Slack DM or channel, with the full trail in Task History.
Something the team will recognize, like "Daily performance digest."
Keyword, search-term, creative, or location optimization, or expand a channel.
Replayed into the same thread every run, so the context builds over time.
Daily or weekly in your time zone. Power users can drop to raw cron.
Pick a Slack DM or channel for the result, then turn it on.
Review each recommendation, or switch on optional auto-approval for workflows you trust.
Optimize, experiment, report — and much more
The keyword reviews, budget checks, and anomaly scans you'd do every morning now run on a schedule, grounded in your real account data and optimized to your goals.
As a campaign proves out, a scaling workflow increases spend in measured steps, watching CAC and payback so growth never outruns efficiency.
Run structured tests across audiences, creative, and budgets, measured against your real attribution, then roll the winner into the live mix.
Automate the weekly readout across performance, affiliate, and SEO, delivered to Slack, so the team spends its time on experiments instead.
Catch spend, CAC, or conversion breaks the morning they happen, with a fix proposed.
Keep monthly spend on track, reallocating as the month plays out.
Spot fatigue early and queue refreshes before performance dips.
Port a proven setup to a new channel — like Google to Bing or YouTube — and watch the efficiency gains.
Workflows that build new agents and workflows.
Workflows that suggest better workflows to run.
Workflows that check ad platform overcrediting.
Orchestrate & steer
Several agents and workflows running together is your system. Manage them from one place: what's active, what's waiting on you, and what each one has done.
Every workflow stays inside the limits you set, across all of them at once.
Everything waiting on you lands together. Approve or decline in seconds.
Task History records every action and its impact, for you and your team.
Roadway is built for teams, and access flows downward: what you can do with a workflow depends on your access to the coworker that holds it. Three things get shared — pages, agents, and workflows.
A page can stay private to you, be shared with specific people, or be open to the whole workspace. Roles decide who can edit versus view.
Anyone you share a coworker with can work with it. Access to the coworker is the key — it's what unlocks creating and seeing its workflows.
Any member with access can create workflows on a coworker, from the Workflows panel or in chat.
Edit, delete, run now, and pause or enable, only on the workflows you created.
All workflows are visible read-only: name, schedule, owner, and run history.
Others see your workflow and its results, but its chat thread stays private to you.
Once the system is built, your week gets short. Strategy and judgment are yours; the repetitive work runs on its own.
Read the weekly report and approve the moves you agree with; decline the rest.
If an anomaly surfaces, let the agent investigate and propose a fix, then approve.
Use agents for strategy, not just cleanup: "What's our most efficient path to double revenue?"
Review impact, widen guardrails on what's working, and turn another manual habit into a workflow.
Build it once.
It runs every day.
One system, worked out
Here is what a full system looks like once it's built: an agent for each ad platform, and the workflows each one runs. Read it as a starting shape, not a checklist — take the pieces that fit your funnel.
Google ads
The anchor agent. It also owns the cross-channel workflows that ship winners out to every other channel.
ChatGPT ads
Prompt-context placement, optimized on the same funnel metrics as search.
Youtube ads
Segment and audience work on video, reading through to revenue.
Linkedin ads
Where brand mentions turn into promotion, same day.
Meta ads
Audience and interest optimization at social volume.
Reddit ads
Topic-level targeting where intent lives in the thread.
X ads
Interest and account-lookalike targeting, tuned weekly.
Cross-channel
Owned by the Google ads agent — what wins on search gets rebuilt everywhere else, automatically.
Or just ask it to build it
A coworker has tools to create other agents and workflows. Describe the system you want in plain language and it drafts the pieces for you, then waits for your approval before anything goes live.