Multiagent Workflow
The agent rig that runs client work. A bench of AI specialists - researchers, strategists, copywriters, designers, developers - each with its own skill and a memory that sharpens every run, shipping CRO and creative deliverables across every brand we serve.
Built for the way we actually run the work.
A bench of specialists
Twenty-plus agents - CRO researcher, strategist, copywriter, designer, developer, QA, paid-media analyst and more - each defined by its own skill, not one generic prompt doing everything badly.
Memory that compounds
Every agent keeps a learnings file it updates as it works. The rig remembers what worked for a brand last month, so run fifty is measurably sharper than run one.
Actions on demand
Well-defined jobs you fire when you need them - a CRO audit, a landing page, a weekly report, a blog repurposed to social - with clear inputs and a deliverable at the end.
Organized by brand
Dozens of brands, thousands of deliverables - every output lands in the right brand workspace with its context, history and files, never in a pile.
Run history you can trust
Every job is tracked across every brand - completed, in flight or queued - so you always know what the rig is doing and what it just shipped.
Documented processes
Agents follow reusable, written workflows - from brand-context extraction to landing-page builds - so output is consistent no matter which agent runs it.
Wired into the real stack
A library of scripts gives agents real data and real hands - GA4, Google Ads, Meta, GTM, Google Workspace, screenshot capture and slide-deck generation.
A copilot in front
Ask in plain English - "run a CRO audit", "pull this week's numbers" - and the copilot routes the request to the right agents and actions.
From a new brand to a shipped deliverable.
Give it a brand
The brand extractor pulls context, tone, assets and store data - the workspace is ready before the kickoff call would have been scheduled.
Pick an action
Choose the job: an audit, a landing page, a report, a content batch. Every action has defined inputs and a defined deliverable.
The rig runs it
An orchestrator hands the work to the right specialists; scripts pull live data; reviewers check the output before it counts as done.
Review and ship
Deliverables land in the brand's workspace, the run is logged, and every agent involved updates its learnings for next time.
Want to use Multiagent Workflow for your team?
We license the cazyweb platform to selected partners and run it for our own clients. Tell us what you need and we will set you up.