Market Research Agent
Studies markets, consumers, competitors and category opportunities.
Give teams executable global-commerce skills
Turn product selection, listing, content, operations and review into tasks that individuals, enterprises and parks can learn and complete.
One operator leads, a team of agents collaborates, and one company keeps running
DPXX AI OPC is a global operating capability for one-person companies and lean startup teams. The lead operator owns strategy, product and key decisions, while specialist AI agents advance market research, merchandise, content, channels, service and performance review.
Turn traditional team roles into agent capabilities that can be directed
Specialist agents are configured around real operating goals, bringing research, merchandise, content, channels, service and data into one system directed by the lead operator.
Product Strategy Agent
Organizes the product pool, value propositions, pricing and channel strategy.
Content Production Agent
Coordinates copy, visuals, video and multilingual content.
Channel Operations Agent
Supports listings, campaigns and day-to-day channel work.
Customer Service Agent
Handles common questions, service information and request classification.
Performance Review Agent
Summarizes results, identifies problems and creates next actions.
Build a directed execution system, not a pile of tools
AI OPC puts the lead operator at the center, assigning intelligence, execution, system connections and content production to the right operating roles. Agent workflows and operating SOPs keep the business running.
ChatGPT
Intelligent research and business collaboration
ChatGPT Codex
Complex tasks and digital business execution
Hermes Agent
Memory, skills and autonomous tasks
OpenClaw
Systems, channels and service connections
WorkBuddy
Office, development and creative collaboration
DPXX AI
Unified AI OPC operating entry point
DPXX Image
Product and brand visual production
DPXX Chat
Knowledge, content and operating dialogue
DPXX Video
Product video and campaign content
DPXX Voice
Voice and multilingual audio expression
Build a layered agent system from intelligent creation to business execution
ChatGPT and Codex handle understanding, creation and technical development. Hermes Agent plans and executes across tools, while enterprise AI agents connect knowledge, systems and operating processes into a continuous workflow.
01
ChatGPT / Codex
Intelligent creation and development
- Content and plansProduce marketing copy, short-video scripts, campaign plans and multilingual content.
- File workAnalyze contracts, spreadsheets, presentations and business materials.
- DevelopmentUnderstand code, build features, diagnose issues and verify tests.
- Data analysisOrganize business data, identify key issues and recommend actions.
02
Hermes Agent
Autonomous planning and cross-tool execution
- Autonomous workPlan steps from operating goals, call tools and keep tasks moving.
- Deep researchConnect files, knowledge and web sources to retrieve and consolidate evidence.
- Tool coordinationCombine browsers, code, documents and specialist skills into one workflow.
- Continuous deliveryTrack status, inspect results, resolve exceptions and iterate.
03
Enterprise AI Agent
Business process intelligence
- Service and salesIdentify needs, match products and create follow-up plans.
- Enterprise knowledgeConnect policies, products, cases and project records into one knowledge service.
- Process automationCoordinate orders, approvals, reports and cross-team workflows.
- Operating analysisMonitor business data and exceptions to surface insight and risk.
Understand and createDevelop technologyExecute autonomouslyAutomate business processes
An AI capability matrix for 12 operating roles
From research, product development and content to store operations, service and review, we integrate specialist tools for each business stage. Tools can change while task chains, business data and operating SOPs remain.
General intelligence and research
Agents and personal operating systems
Agent building and automation
Knowledge, collaboration and operating SOPs
Product development and digital business
Brand visuals and image production
Video and motion content
Voice, music and digital humans
Copy, marketing and growth
Commerce, stores and transactions
Customer relationships and service
Data analysis and operating review
Tools are selected for business goals and task contexts. Trademarks belong to their respective owners; inclusion does not imply an official partnership or required purchase.
Keep the AI OPC loop moving from opportunity to operating result
AI OPC is not a collection of isolated tools. Market judgment enters an operating task chain, results return to review, and each cycle becomes a method the next cycle can reuse.
- 01Market opportunity
- 02Product definition
- 03Merchandise structure
- 04Content acquisition
- 05Channel conversion
- 06Customer service
- 07Performance review
- 08SOP capture
An operating result is not the end; it becomes input for the next decision.
People own strategy and decisions; agents own standardized execution
AI OPC does not replace the operator. It releases time from repetitive work so the operator can focus on commercial judgment, creativity, key relationships and final accountability.
Set direction and hold final accountability
- Business direction
- Brand value
- Product judgment
- Resource allocation
- Risk boundaries
- Final decisions
Execute tasks and continuously report results
- Research
- Content production
- Task execution
- Data organization
- Exception alerts
- Review guidance
Build a one-person operating loop for global markets
DPXX places AI OPC inside real global commerce, connecting market selection, brand and product, global content, channel operations and data-led growth for individuals and lean teams.
Market selection
Assess countries, consumers and category opportunities.
Brand and product
Build value propositions, product systems and pricing.
Global content
Produce visuals, video, multilingual copy and local expression.
Channel operations
Connect marketplaces, social channels and owned commerce.
Data-led growth
Consolidate feedback and keep improving operating strategy.
Move from one business idea to the first operating loop
Start with a real product and target market, then complete market judgment, merchandise structure, content, channel connections and a first operating validation.
- 01Founder diagnosis
- 02Market and product position
- 03Agent role design
- 04Content and channel setup
- 05First market validation
- 06SOP and review mechanism
Grow from one person into a scalable lean organization
AI OPC is not about staying solo forever. Agents establish complete operating capability first; people and partners are then added as the business grows without unnecessary organizational weight.
Individual + AI tools
Begin with focused research, content and analysis tasks to establish baseline efficiency.
Operator + specialist agents
Create cross-functional collaboration and complete task chains that keep work moving.
Lean team + agent system
Add critical talent by business stage while keeping the organization lean.
The final deliverable is an operating asset, not a tool
Turn personal experience into processes, processes into agent tasks, and operating results into organizational assets that keep improving.
- 01AI OPC business positioning
- 02Agent roles and responsibilities
- 03Market and product strategy framework
- 04Content production workflow
- 05Channel operations task chain
- 06Customer service knowledge base
- 07Performance review mechanism
- 08Sustainable operating SOP
Apply one AI OPC capability to three real operating contexts
Individual ventures, enterprise innovation and incubator programs all follow real business goals, agent collaboration and stage-specific operating results.
Individual entrepreneur
Build an independent operating loop from expertise, product resources or a business idea.
Internal enterprise OPC unit
Use a lean innovation team to validate a new category, channel or market.
Park and university incubation
Build an AI venture system from project selection and capability building to business validation.
Make operating work and captured capability visible
Until authorized case data is available, the page uses a standard operating example. It does not present a concept flow as a client result or invent GMV, efficiency figures or testimonials.
Standard operating example
An AI OPC validation path for one product entering a target marketBusiness starting point
Clarify product resources, target market and the first validation goal.
Agent configuration
Define responsibility boundaries for research, product, content, channels and review.
Operating actions
Produce content, connect channels and collect customer feedback.
Stage result
Test whether the product, expression and channel path work.
Capability capture
Turn validation into task templates and an operating SOP.
Start an AI-native company from one business goal
Build a specialist agent system and a sustainable operating loop around a real market, product and commercial objective.