AI Marketing Systems
Connect your specialist Agents into one social media system.
Agent 002 brings your Agent Operating System and specialist Agents into a repeatable social media workflow. You’ll define the handoffs, approval points and recovery steps, then put the complete system into practice. You continue to set the direction, review the work and make the final decision throughout.
Course length
4 weeks
Two hours each week
Format
In-person
Plus a required 45-min clinic
Launch price
$997 incl GST
Full price $1,297
Albury intake
29 Oct 2026
5 seats
Wagga wagga intake
04 Nov 2026
5 seats
Entry options
Foundations or direct entry
Readiness review confirms fit
MEET YOUR AGENTS
Meet the Agent OS and three specialist teams behind the workflow.
Systems works with an Agent Operating System and Thought Partner, plus three specialist teams covering 12 named Agent roles. You may bring this lineup from Foundations or enter directly with equivalent experience and a working setup.
You’ll document how work moves between the Agents, what information each step can use and where it must return to a person. Most handoffs remain person-run. The publishing connection to Meta only begins after a named person has reviewed and approved the post.
01
Your Agent Operating System
The shared business context and working rules behind the whole workflow. Your Agent OS holds your business identity, audience information, brand voice, marketing skills, memory rules and quality standards. Its Thought Partner helps maintain the system and record improvements that a person has reviewed and approved.
02
Your Research and Strategy Team
Five Agents that turn customer questions and industry activity into an approved content plan. The Audience Researcher, Trend Researcher and FAQ Researcher gather useful inputs. The Content Strategist and Content Brief Writer turn those findings into a plan and complete briefs for the production team.
03
Your Content Production Team.
Three Agents that turn approved briefs into material ready for review. The Caption Writer prepares platform-ready copy, the Social Image Editor works with approved business images, and the Reply Agent drafts responses to comments and messages. A person reviews the work before it moves on.
04
Your Publishing and Performance Team
Three Agents that organise posts, review results and show what to improve next. The Scheduling Agent prepares the posting plan, the Performance Analyser reviews your results, and the Reporting Agent turns those findings into practical recommendations. In Systems, an approved post can move through the controlled Meta connection, but it never publishes without your review and final confirmation.
Is Agent 002 the right fit for you?
Regional marketing manager owning the whole workflow
You’re responsible for social strategy, content, publishing and reporting, but the process is hard for someone else to pick up. You want well-defined roles, handoffs and review points that the whole team can follow.
Coordinator or assistant already using AI
You’re comfortable briefing AI and reviewing the output. The next step is a dependable process that moves approved direction through production and into a controlled publishing step.
Small team or owner-led business with someone in charge
Your business has someone who can take responsibility for the workflow, manage approved information and tool access, and keep the important decisions with people.
Build one part of your AI marketing system each week.
You’ll meet in person for two hours a week over four weeks, after a required 45-minute clinic to connect and test your publishing connection. Each session builds and tests another part of the workflow — by Week 4, you’re operating the live system on a real, approved post.
What’s included
Week 1: Map and govern the workflow
Map the Agent OS and all 12 named Agent roles in sequence, then name the owner, operator and review point for each step. You’ll decide who approves content, which risks must be escalated and which decisions always stay with people. By the end of the session, you’ll have a complete Workflow Map and a clearer view of the handoffs causing delays or errors.
Week 2: Standardise the handoffs
Create a reusable contract for every critical handoff, covering the required fields, expected format, owner and response to missing information. You’ll then test a complete chain from research to a finished brief, caption and image.
Week 3: Rehearse recovery, safety and publishing
Decide what should happen when a field is missing, a claim lacks evidence, a tool times out or a person is unavailable. You’ll build the publishing approval gate, rehearse the preview and approval process, and confirm that a repeated request cannot publish the same post twice.
Week 4: Operate the live system
Use the live connection to publish one real, approved post, with validated fields, a named approval and a receipt. You’ll then run the Performance Analyser on historical data and record one improvement to the workflow. The course finishes with a Systems Playbook, a 30-day operating plan and a one-hour group follow-up, including written feedback on your submitted run logs.
AFTER AGENT 002
Choose what happens after Systems.
There is no compulsory next step. Keep using and improving the system you documented, continue learning with the Systems Community, or discuss a custom build when your business needs specific workflow design, tool setup, integrations or implementation.
Keep practising
Use and improve the agents you built
No on-going membership required
Optional monthly
Systems Community
$195/month incl GST.
Connect a workflow
Discuss a custom build
Workflow design · Tool set-up · Integrations
Compare the three courses
Find the right starting point at a glance.
Three courses, one clear path. See what each one teaches, what you will produce and which level matches where you are right now.
|
Agent 000 |
Agent 001 |
Agent 002 |
|
|---|---|---|---|
| Course | Agent 000: Intro to AI for Marketing | Agent 001: Foundations | Agent 002: Systems |
| Best for | New, nervous and occasional AI users | Confident AI users ready to build specialised marketing Agents | Foundations graduates or experienced users with an equivalent working Agent system |
| Core shift | From asking AI to confidently directing the work | From scattered tools and chats to an eight-Agent social media team | From separate Agents to one governed team system |
| Main application | Social media first; method transfers to other everyday marketing tasks | Social media marketing | Social media marketing |
| What you build | Brief, context card, review method, correction method and practice plan | Portable Agent OS and eight tested Agents | Workflow map, decision rights, handoff contracts, recovery rules and publishing controls |
| End result | Complete a familiar marketing task and decide whether to use, revise or reject the output | Plan, produce, prepare and review real social content using specialised Agents | Operate the full workflow and complete one human-approved publishing handoff |
| Delivery | 3 weekly in-person sessions × 2 hours | 4 weekly in-person sessions × 2 hours | 4 weekly in-person sessions × 2 hours, plus a mandatory 45-minute connection clinic |
| Guided course time | 6 hours | 8 hours | 8 hours + clinic |
| Follow-up |
90-day access to teaching and demonstration recordings; no group follow-up |
1-hour group review with individual written feedback | 1-hour group review with individual written feedback |
| Prerequisite | None | No formal prerequisite; Agent 000 is recommended if you cannot yet brief and review one AI task | A working Foundations system or equivalent confirmed through the Systems Readiness Review |
| Full investment | $349 incl GST | $897 incl GST | $1,297 incl GST |
| Launch investment | $249 incl GST | $597 incl GST | $997 incl GST |
