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AI Business Flow Architect

Deep Hands-on Practice from OpenClaw to Claude Code — An "Efficiency Revolution" & "Digital Infrastructure" Masterclass for Business Leaders and Technical Managers

20 Lessons · ~60h 5 Chapters OpenClaw + Claude Code
For: Business leaders, product directors, tech leads, digital transformation experts, and super-individuals building a "one-person company"

Course Overview

01

R&D Resource Bottleneck

You understand business logic but are constrained by R&D resources. Ideas take too long to materialize — the cycle from idea to product is painfully slow.

02

AI Cannot Execute End-to-End

Existing conversational AI cannot autonomously execute closed-loop tasks 24/7. It can only passively answer questions, lacking the ability to take proactive action.

03

Legacy Systems Without APIs

Helpless against legacy systems with no APIs. Data silos are everywhere — 71% of 897 enterprise applications cannot communicate with each other.

04

LLM Cost Anxiety

Trapped in cost anxiety over LLM API spending, unsure how to find the balance between "smart" and "affordable."

Course Overview

Course Projects

All hands-on code and configuration templates from the course are open-sourced on GitHub. It serves as the complete knowledge base for all 20 lessons — after completing the course, you can build your own Agent production system based on this repository.

Core Technology Stack

OpenClaw

The fastest-growing local-first open-source agent system in the world. With its plain-text memory and heartbeat engine, it redefines AI's proactive agency, enabling 24/7 autonomous operation.

Claude Code

Anthropic's next-generation command-line terminal agent. It breaks through GUI limitations, enabling massive file collaboration and natural language refactoring of enterprise-scale codebases with overnight self-healing.

Dual-Engine Dynamic Routing

Routine checks are handled around the clock by cost-effective models like DeepSeek / GLM, while complex scenarios seamlessly switch to flagship reasoning engines — achieving the perfect balance of cost and performance.

Browser Automation

Computer automation technology that does not rely on official APIs. Through low-level DOM manipulation and visual anchor positioning, it forcibly stitches legacy systems into modern business workflows.

Core Value

🚀

Paradigm Shift

Leap from passive AI that "gives you code in a chat box" to configuring 24/7 always-on autonomous digital workers that proactively plan and execute underlying tasks.

💼

Business Closed-Loop

Move beyond toy demos. Through real-world projects like fully automated financial reporting, prediction market arbitrage monitoring, and private-domain CRM management, build automation pipelines that directly generate business value.

🔬

Advanced Problem-Solving

No surface-level skimming. In zero-tolerance hardcore scenarios like financial data fusion and legacy code refactoring, invoke the most powerful flagship models to solve real-world business challenges.

🛡️

Infrastructure Security

Thoroughly understand the underlying logic. Use isolated sandboxes and zero-trust gateways to keep data sovereignty firmly in your own hands, eliminating data exfiltration and vendor lock-in.

Learning Outcomes

  • Full-Stack Digital Infrastructure Architecture: Master rapid deployment from local machines to domestic cloud servers, and thoroughly understand zero-public-IP cross-platform secure tunneling.
  • Dynamic Hybrid Compute Scheduling: Proficiently configure model fallback chains and budget circuit breakers, enjoying the world's most powerful AI compute while avoiding the "sky-high bill" trap.
  • Deep Agent Tuning & Memory Management: Learn to write SOUL.md and HEARTBEAT.md, taking over the LLM's values, proactive wake-up frequency, and persistent memory from the system level.
  • Multi-System Seamless Automation Orchestration: Proficiently integrate agents into Feishu, WeCom, and DingTalk enterprise environments, master browser penetration techniques, and forcibly stitch legacy systems into modern business workflows.

Detailed Syllabus

01 Architecture Remodeling & Infrastructure — Building the Digital Foundation of a "One-Person Company"
Architecture Remodeling & Infrastructure — Building the Digital Foundation of a "One-Person Company"

Lesson 1: The AI Business Flow Architect Methodology & the OpenClaw Revolution

  • The business impact of the "one-person company" and the three leaps of AI capability (Copilot → Single Agent → Interconnected Agent System)
  • SaaS data silo pain points and the value of Agents as the next-generation "workflow glue"
  • Local-First sovereignty strategy and the trillion-dollar Agentic AI market wave
  • OpenClaw's five design philosophies and three-layer architecture dissection
  • 10-minute Hello World hands-on quick start

Lesson 2: OpenClaw Rapid Cloud Deployment & Network Tunneling

  • 8 real-world case studies at a glance: efficiency gains, monetization, tech breakthroughs, domestic ecosystem
  • Cloud vendor comparison and ROI estimation (Volcano Engine / Alibaba Cloud / Tencent Cloud)
  • Linux daemon processes and systemd + Docker Compose dual-insurance lifecycle management
  • Zero-public-IP absolute-security network tunneling (Tailscale Serve / Funnel)
  • 30-minute end-to-end deployment hands-on: from purchasing a server to verifying the Dashboard

Lesson 3: OpenClaw Meets WeChat — Rapidly Enabling Efficient Work & Life

  • WeChat ClawBot rapid integration and Skill capability extensions (Web Search / Summarize)
  • WeCom persistent-connection bot creation and group chat collaboration
  • Agent-driven structured document generation via WeCom MCP hands-on
  • Heartbeat first experience: from passive response to proactive action (GitHub Trending daily digest)
  • Hybrid integration of overseas flagship and domestic models with cost control basics

Lesson 4: Deep Feishu Native Integration & Office Workflow Connectivity

  • Feishu QR-code rapid integration and user identity permission system
  • Automated Feishu document generation and calendar/to-do linking hands-on
  • Automated competitive analysis in Markdown written to Feishu Bitable
  • Multi-agent routing and group collaboration strategies (Bindings / ACP dynamic binding)
02 Soul & Heartbeat — Building 24/7 Thinking Autonomous Digital Workers
Soul & Heartbeat — Building 24/7 Thinking Autonomous Digital Workers

Lesson 5: The Markdown Tuning Method — Forging an Agent's Values & Immutable Core

  • The geek philosophy of plain-text driven: the "File is Agent" design paradigm
  • The Seven Swords of Workspace — full-panorama deconstruction of Agent configuration files (three-layer architecture model)
  • SOUL.md deep breakdown: identity anchors, communication style, value rules, and security boundaries layered step by step
  • Hands-on: forging a development assistant's soul + boundary attack-defense exercises

Lesson 6: The Heartbeat Mechanism — The Proactive Wake-Up Engine That Breaks Passive Response

  • Cron (fancy alarm clock) vs Heartbeat (patrol guard with a brain) paradigm differences
  • HEARTBEAT_OK silent mechanism and multi-perspective verification methodology
  • HEARTBEAT.md design methodology: four-step checklist authoring and four golden rules
  • Hands-on: Cron + Heartbeat to build a high-quality news digest & nudging the Agent to keep daily logs

Lesson 7: OpenClaw's Four-Layer Memory Architecture & Long-Term Context Persistence Management

  • Memory first principle: "Conversations get compressed, files don't" — four-layer memory architecture panorama
  • Memory lifecycle: from conversation to persistent files (MEMORY.md / Daily Log division of labor)
  • Dual-engine memory retrieval: vector semantic understanding + BM25 keyword exact matching
  • Hands-on: memory surgery (inspect / correct / verify) and memory export cloning
03 Skill Extension & Model Scheduling — Building a Full-Stack Skill Network at Low Cost
Skill Extension & Model Scheduling — Building a Full-Stack Skill Network at Low Cost

Lesson 8: ClawHub Ecosystem Navigation & High-Value Infrastructure Skills Deployment

  • Skill architecture and four-layer priority override network, System Prompt hygiene: four principles
  • ClawHavoc supply-chain attack retrospective and five-step security selection method
  • Three key Skills deep dive: Web Search / Summarize / Agent Browser
  • Hands-on: AI startup research assistant end-to-end closed-loop

Lesson 9: Mastering SDL Syntax & Custom Business Skill Development

  • SKILL.md file specification: YAML Frontmatter + Markdown Body five-section design
  • External API integration and four-layer parsing priority with environment variable security isolation
  • Production-grade exception handling and self-correcting prompt design
  • Hands-on: cryptocurrency periodic market monitoring Skill end-to-end development (v0.1 → v1.0)

Lesson 10: Monetization Skills Matrix — From Prediction Markets to Operational Infrastructure

  • The real landscape of "money-making Agents" and risk awareness (Polymarket introduction)
  • Three revenue paths: information arbitrage, labor replacement (ClawWork), operational infrastructure
  • Polymarket API three-layer architecture and Agent monitoring strategy design
  • Hands-on: deploying a Polymarket odds monitoring Agent with Feishu push notifications

Lesson 11: Ultimate Cost Control — Hybrid Model Routing Strategy & API Aggregation

  • Token economics and the cost truth: Polymarket Agent monthly cost breakdown
  • 2026 mainstream LLM pricing cheat sheet and flagship showdown (GPT-5.4 vs Claude Opus 4.6)
  • Three-tier cost defense architecture: hard circuit breaker → fallback silent degradation → post-hoc audit
  • Hands-on: end-to-end hybrid routing configuration and fallback verification

Lesson 12: Xiaohongshu Automated Publishing — System UI Penetration & Browser Automation

  • CUA three-ring model and four-layer capability stack priority (API > DOM penetration > visual anchors > native UI)
  • Stability ranking of business object targeting methods and multi-candidate selector strategy
  • Three-step chain: one-click deployment, conversational publishing, QR-code takeover
  • Hands-on: running end-to-end Xiaohongshu auto-publishing via Feishu (draft mode → publish mode)
04 Business Flow Reconstruction — "One-Person Company" Core Business Scenario Closed-Loops
Business Flow Reconstruction — "One-Person Company" Core Business Scenario Closed-Loops

Lesson 13: Fully Automated Financial Reporting & Cross-System Data Transfer Bot

  • The AI Business Flow Architect's five-step decomposition method: business understanding → capability splitting → interface design → implementation selection → failure projection
  • Three key design decisions for recognition capabilities: local OCR, PDF-first extraction, rules before AI
  • Feishu Bitable integration pitfall guide: OAuth triple setup, URL resource hierarchy, token context isolation
  • Hands-on: receipt image → real attachment to spreadsheet, end-to-end 7-step closed-loop

Lesson 14: 24/7 Information Triage Defense & Multi-Platform Smart Morning Briefing Butler

  • Information overload pain points for high-end knowledge workers and information triage architecture design
  • Extraction chain: bypassing anti-scraping measures, auto-extracting the latest from overseas financial media and open-source communities
  • Noise reduction and triage: 24/7 three-tier weight classification (Urgent / Important / FYI)
  • Hands-on: building the morning executive automation workflow, delivered punctually at 7:00 AM

Lesson 15: Private Domain Automated CRM & Conference High-Value Lead Follow-Up Assistant

  • Meeting capture transcription and unstructured data intelligent tagging with intent scoring
  • Extracting core features from unstructured speech and converting to JSON tags for private-domain CRM
  • Auto-drafting personalized client icebreaker / follow-up email drafts
  • Hands-on: Heartbeat auto-pushes key conversation history 1 hour before each meeting
05 Advanced R&D — Claude Code Empowerment & System Security Governance

Lesson 16: Claude Code Interaction Paradigm Revolution & Security Sandbox

  • From cloud Agents back to foundational infrastructure: the awakening of CLI command-line terminal agents
  • Deep analysis of the efficient instant-feedback workflow based on REPL
  • Security boundaries and enterprise firewalls: sandbox execution rules and filesystem allowlists
  • Three core power commands dissected: /edit, /search, /run

Lesson 17: Multi-File Collaboration & Terminal Code-Level Refactoring

  • Breaking through brain capacity limits: large-context throughput and memory control for 50+ source code files
  • Cross-project API call chain tracing and safe refactoring of large legacy architectures
  • Hands-on: CI/CD engineering pipeline integration — pre-commit hooks and automated PR summaries

Lesson 18: AI Quant CLI — Quantitative Investment Research System Development

  • Financial research pain points: unstructured financial report processing and multi-dimensional visualization
  • Flagship model complex reasoning execution: implicit financial risk prediction and cross-table logic cross-validation
  • Hands-on: end-to-end independent financial data analysis pipeline (data parsing → core reasoning → automated charting)

Lesson 19: Overnight Code Self-Healing Laboratory (OpenClaw + Claude Code)

  • MCP protocol bridge: OpenClaw as macro-level orchestrator and Claude Code as low-level execution expert working in tandem
  • Attacker + defender dual-perspective hardcoded key and deep logic vulnerability scanning
  • Hands-on: 3:30 AM Heartbeat wake-up → auto-clone branch → patch vulnerabilities → push security report

Lesson 20: The Final Defense Line — Enterprise-Grade Digital Worker Security Audit & Production Governance

  • ClawHavoc supply-chain poisoning and CVE-2026-25253 remote code execution vulnerability full retrospective
  • Zero-trust isolation perimeter: Docker containerized sandbox and LLM firewall
  • Hands-on: configuring the production-ready ultimate deployment checklist — key rotation, denyList, token circuit breaker

Instructor

Jingtian Peng

Founder / CEO
Google AI Developer Expert100K+ AI learners3 successful exitsZhejiang UniversityTensorFlow book author

Founding member of Huawei 2012 Lab deep learning team. UC visiting scholar. Former technical partner at Caicloud (acquired by ByteDance in 2020), co-founder & CTO of Pinlan Data (raised ~¥200M). Kubeflow maintainer, TensorFlow contributor, Linux CNCF program committee member.

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