Background
Tao is a founder building AI coding tools for global users. His product, aigocode.com, has over 10,000 users, and he runs a creator account with a large audience. His goal was simple: turn traffic into a repeatable paid community model, fast.
Execution Timeline
On Feb 10, 2026, he launched the group and spent one focused hour planning with his AI assistant. Once strategy was clear, execution started immediately.
Results
- Built the full website, community funnel, and 13-chapter curriculum in about 1 hour.
- Ran 6 parallel tasks at once: homepage rebuild, SEO, case studies, blog, English site, and search.
- Reached 100+ paid members in the first 24 hours.
- Automation cadence: web monitoring every 3 hours, code review every 30 minutes, documentation checks twice per day.
Most people were shocked by one thing: six workflows moving in parallel without blocking each other.
"I talked with AI for one hour, and it helped me build an entire business."
Use Case
Teams use OpenClaw to monitor industry updates and collect high-signal content automatically, reducing manual research overhead.
Solution
Cron jobs trigger Brave search workflows, extract key points, classify topics, and sync outputs into a searchable knowledge base.
Config Example (Simplified)
# Run content collection every 3 hours
cron: "0 */3 * * *"
workflow:
- tool: web_search
query: "OpenClaw updates OR tutorials"
- step: classify_by_topic
- step: save_to_knowledge_base
Outcome: always-on intelligence pipeline with stable 24/7 updates.
Use Case
OpenClaw connects with Notion to keep team documentation and knowledge assets continuously up to date.
Solution
Pipeline flow: content capture, AI structuring, and automatic Notion sync to build reusable and searchable knowledge systems.
Best For
Content teams, paid community operators, and product teams building internal wikis.
Outcome: docs move from manual updates to automation-first with lightweight human review.
Placeholder: Notion sync output / structured knowledge tree