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My 6-Step Method to Build a Second Brain with ChatGPT
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Most people use ChatGPT for quick Q&A tasks. While helpful, this often leads to scattered information and shallow problem-solving. Esor argues that ChatGPT has the potential to become a powerful AI productivity system—a digital second brain that assists in managing projects, organizing knowledge, and generating results.
Instead of treating ChatGPT as a passive assistant, Esor proposes a 6-step system to turn it into a workflow-integrated AI operating system. Think of it like an AI-enhanced version of Notion or Trello—but within ChatGPT itself.
1. Automate Task Input Using ChatGPT Tasks + AI Search
Instead of manually browsing the web or managing RSS feeds, Esor sets up automated tasks inside ChatGPT to pull new information daily.
For example, one thread is set to run daily with the prompt:
“Search for the latest AI tools and applications articles and compile a report.”This daily update feeds inspiration for teaching, writing, and idea generation.
The benefits include:
Saves time on manual research.
Filters information based on specific criteria (topic, source).
Provides summarized insights with proper citations.
🔁 Examples of auto-input threads:
AI tools and tutorials
Global and local news for professional tasks
Fitness and health knowledge
Fresh writing prompt ideas tailored to Esor’s blog style
2. Organize and Analyze Using Cross-Thread Memory
ChatGPT now has memory across different threads (available in free, Plus, and Pro plans with varying limits).
This allows users to treat ChatGPT like a personal knowledge database.
Esor leverages this to:
Combine scattered ideas and research from multiple threads.
Reorganize data into new structured formats (e.g. project outlines, writing plans).
Maintain tone and logic using saved memory (e.g., “no emojis”, or specific project logic).
💡 Outcome:
ChatGPT becomes a reliable research assistant that understands past context and builds new knowledge from old inputs.
3. Kickstart Projects with Deep Research
Esor uses ChatGPT’s Deep Research to gather external and internal knowledge:
External: Searches and summarizes articles from dozens of sources.
Internal: Reviews files from Google Drive (docs, slides, etc.) for project insights.
Project launch workflow:
Review past discussions for relevant problems and questions.
Use Deep Research to find new cross-domain information.
Analyze internal documents (e.g. in Drive) for past reports or data.
📊 Use cases:
Market analysis
Competitive benchmarking
Writing strategic proposals
Preparing teaching content
4. One Thread per Project + Use ChatGPT “Projects” Feature
For clarity and performance, Esor creates one dedicated chat thread per project.
Within each thread, ChatGPT:
Learns the project’s tone, needs, and goals.
Builds content (e.g. outlines, slides, assessments) using past discussion as memory.
Uses the new “Projects” feature:
Group related threads.
Upload shared reference files.
Create reusable commands (e.g. define team roles, file names, voice/tone).
🧩 Example:
In a course planning thread, Esor asked ChatGPT to create quiz questions based on previously discussed content without uploading files again. ChatGPT found and reused relevant materials from the thread.
📁 Other “Projects” include:
Personal life (fitness, finance, home)
Blog/article planning
Course design
Travel or event coordination
5. Select the Right GPT Model for the Task
Esor matches GPT versions with specific use cases:
Model | Use Case |
---|---|
GPT-4o | General tasks, daily chats, outlines, drafts |
GPT-3.5 (o3) | Research-heavy tasks needing logic and structure |
GPT-4.1 | Summarizing long conversations, recalling extended context |
GPT-4.5 | Precision editing, grammar, and flow fixes in writing |
GPT-4-mini-high | Visual analysis, layout planning, image interpretation |
🛠️ Tip:
Tasks like “Vibe Coding” or multi-week discussions benefit from GPT-4.1 due to its long-term memory and better context tracking.
6. Expand Output Beyond Text: Images, Code, and Voice
ChatGPT is more than text:
Image generation (via GPT-4o): Tailored visuals for presentations or teaching.
Codex: AI coding assistant for GitHub projects, software tasks.
Voice mode: Real-time brainstorming with natural conversation, even in languages like Taiwanese.
Voice recording/transcription: Speak thoughts, get structured transcripts.
🎤 Example:
When stuck on writing, Esor speaks ideas aloud. ChatGPT turns them into structured notes or article drafts.
📊 Example:
Upload charts or infographics, and ChatGPT helps interpret or redesign the layout for clarity.
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