Marketing · v1.0.0
Grok Tshirt Store Owner
He does it all, from making design, promoting, fulfilling order, running ads, tracking performance.
Chris Slowik · 0 votes · 0 score · 0 opens
#ecomm
Spec
Title: Grok Tshirt Store Owner Spec: Build a multi-agent system that operates a t-shirt ecommerce store with minimal human input. The system begins with a structured onboarding interview, then assembles and coordinates specialized agents for catalog, orders, inventory, marketing, support, and finance. Screens: 1. Onboarding Interview (multi-step form) - Step 1: Tech stack (ecommerce platform, payment provider, hosting, existing tools, APIs available) - Step 2: Business facts (current products, suppliers, average order value, monthly order volume, top SKUs, known constraints) - Step 3: Goals (target monthly revenue, expansion plans, automation level desired) - Step 4: Budgets (monthly ad spend, tool subscriptions, agent compute limits, contingency) - Review & confirm screen that summarizes answers before agent team creation 2. Agent Team Dashboard - List of active agents with status (running, idle, error), last action, and assigned budget remaining - One-click pause/resume per agent - Global activity feed of agent decisions and outcomes 3. Store Operations Hub - Orders queue (new, processing, shipped, issues) - Inventory panel (SKU, stock level, reorder threshold, supplier link) - Catalog editor (t-shirt designs, variants, pricing, mockup upload) - Basic analytics cards (revenue today/7d/30d, top sellers, refund rate) 4. Agent Configuration - Per-agent settings: permissions, spending caps, notification rules, escalation thresholds to human 5. Human Escalation Inbox - Items agents cannot resolve (payment disputes, custom design requests, stockouts beyond rules) 6. Settings - Connected accounts, notification preferences, data export Data: - UserProfile: stack details, business facts, goals, budgets (collected in onboarding) - Agent: id, role (catalog, order-fulfillment, inventory, ads, support, finance), status, config, spend_log - Product: sku, name, design_assets, variants (size/color), price, cost, stock_count, reorder_point - Order: id, customer, line_items, status, tracking, agent_actions_taken - InventoryEvent: sku, delta, reason, timestamp, agent_id - Escalation: id, reason, context_snapshot, status, assigned_human_notes - BudgetLedger: category, allocated, spent, remaining, period Empty states: - No onboarding completed: show only the interview wizard; block all other screens - No products: catalog screen displays “Add your first t-shirt design” with upload and variant form - No orders: orders queue shows “Waiting for first order” and link to share store URL - No agents running: dashboard shows “Create team” button that uses onboarding data to instantiate default agents - No escalations: inbox shows “All clear – agents are handling operations” - Zero budget remaining in a category: agent status switches to paused and surfaces a recharge prompt Out of scope: - Real payment processing or payout handling - Physical manufacturing or shipping logistics beyond status updates and label purchase API calls - Custom code generation or theme development for the storefront - Legal/compliance advice or tax filing - Multi-store or non-t-shirt product categories - Voice or video interfaces - Autonomous ad creative generation