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Advanced
Use AI Agents for Management
For team leaders and regional operators. The core change: no more manual command item by item — design the whole chain as a workflow, let the AI Agent run it, and you watch only the checkpoints and results.
Module 1: The AI Agent workflow (product picking → materials → distribution → action tracking → review)
Product verification → content generation → personalized distribution → in-group action tracking → data review
- Product verification: pull numbers only from the HQ verification sheet and build your team's "pushable this week" list (with links, prices, MOQs, stock status).
- Content generation: batch-produce copy and shot lists with the Beginner standard prompts; manually spot-check the fields before releasing.
- Personalized distribution: materials go into the material library and each member generates their own personal poster — this step cannot be skipped in the workflow; without a personal code it does not count as done.
- In-group action tracking: use the L3 handbook's daily 3 lines; the AI Agent drafts them to your group's rhythm and you send them after confirming.
- Data review: every week, give the AI Agent the (de-identified) summary of downline count, distribution orders, and commission details, and have it generate next week's adjustment suggestions.
Standard prompt · Weekly review (copy & fill in)Here is my team's data this week: new downline ___ people, distribution orders ___ , featured products and their orders ___, group check-in completion about ___%. Write me a weekly review: which workflow ran smoothly, where it got stuck, and only three things to change next week (specific and actionable). Do not speculate on data I did not give.
Exercise CRX-AI-TSK-006:Run your team's week for real as one complete workflow; draw the flow chart (a hand-drawn photo is fine) and label each step: who owns it, what the AI does, what you verify.
Module 2: Regional operations
- Regional roster: maintain a sheet of the team leaders in your region, their group sizes, and featured categories; the roster stores only names and channels — no sensitive information.
- One rhythm: the whole region follows the same daily SOP and material rhythm; regional character shows only in product-picking weights (e.g., local store-type preferences) — never in changed prices or rules.
- Issue escalation: dead links, inconsistent pricing, stock anomalies — summarize and report to HQ the same day; never change the wording yourself.
Standard prompt · Regional weekly report (copy & fill in)Organize this week's regional situation into a one-page weekly report: team leader count, active groups, new downline, orders, this week's issue list, and items needing HQ support. Format: conclusion first, then data, then issues. Do not add numbers I did not give.
Module 3: Task management (teaching exercises and paid tasks are separate)
- Teaching exercises(numbered CRX-AI-TSK-xxx): for practice, unpaid — the goal is to pass.
- Paid tasks: published by HQ with clear prices, settled after acceptance; complete tasks with your own account — never subcontract to unregistered people.
- Acceptance standards first: when publishing each task, state the deliverables, field-accuracy requirements, and deadline; the AI Agent does the first check (fields, links, personal codes) and you do the final review.
Standard prompt · Task first check (copy & fill in)Here is a member's submitted task result: ___. Check it item by item against the standard: 1) price and MOQ match the verification sheet; 2) the link points to the right product; 3) it carries the submitter's own promotion information; 4) no promised income, no fabricated selling points. Output: pass / fail + the reason for each item.
Exercise CRX-AI-TSK-007:Design a task for your team-leader group this week (teaching exercise type): state the deliverables, acceptance standards, and deadline, and run one mock first check with the prompt above.
The Advanced red lines, once more:Permissions open only to your own scope of duty; de-identify team data before it enters AI; all external prices and rules follow HQ's latest verification. The AI Agent is an amplifier — it amplifies the workflow you have already made work. If the workflow is wrong, fix the workflow first.
Cradi · Cradi International Inc · Find. Share. Sell. Earn.