Sound familiar?
Notes pile up in Notion, Obsidian, or Apple Notes — but you rarely go back to them.
You tried a 'smart notes' system — but without daily discipline, it all falls apart.
Every time you open an AI chat, you explain your project from scratch — even though it's all written down somewhere in your notes.
You want an 'AI knowledge base' but don't want to configure plugins and API keys.
What smart notes actually are
Smart notes aren't tags and graphs. They're AI that reads your notes
Most note-taking systems offer 'intelligence' through tags, note links, and graph views. The problem is that this requires discipline. Without maintaining the system — it turns into a dumping ground.
There's a different approach: notes become 'smart' when AI reads them. You write a thought — AI sees it. You ask a question — AI answers based on what you wrote. No tagging, linking, or sorting required.
In LiveAI, this works through notebook context. Enable context — and AI sees your notebook's contents with every request. The notebook is a lens through which AI looks at your task.
How It Works
A notebook in LiveAI isn't just a note editor. It's context for AI. You write — AI sees. You ask — AI answers based on what you wrote.
Write however you want — AI will figure it out. No tags, links, or special format needed.
Enable context — and AI sees the notebook contents. Automatically, without copying.
Switch notebooks — switch context. Different projects — different notebooks.
Example 1: Work Project
Describe your project in a notebook
Write down everything important about the project: goals, audience, constraints, current status. Format doesn't matter — write however works for you.
- Goal: 'Increase landing page conversion from 2% to 4%'
- Audience: 'Small business owners, 25-45, looking for a simple solution'
- Constraints: 'Budget $2,000, deadline end of March'
Ask questions in context
Enable notebook context and ask anything. AI already knows your project — no need to explain again.
- 'Suggest 5 hypotheses for why conversion is low' — AI knows your audience and goals.
- 'Write a design brief' — AI considers the budget and deadline.
- 'What metrics should I track after launch?' — AI sees the goal 'from 2% to 4%' in the notebook.
Build up knowledge in the notebook
Save the results of your AI work back into the notebook. The notebook grows — AI context grows with it.
- Like a hypothesis? Write it in the notebook — AI will see it in the next request.
- Got client feedback? Add it — context becomes more accurate.
Example 2: Research and Material Gathering
Collect notes from different sources
Reading articles, listening to podcasts, watching videos — write key ideas into one notebook.
- From an article: 'By 2027, 60% of learning will include an AI component (McKinsey)'
- From a podcast: 'Main trend — personalized learning through AI tutors'
- Your own thought: 'What if we apply this to employee onboarding?'
Ask AI to find connections and conclusions
Enable context and ask AI to analyze your notes. It sees all the entries at once.
- 'What common trends appear across my notes?'
- 'Are there any contradictions between sources?'
- 'Summarize 3 key conclusions based on what I've gathered'
Format the result
Final step — ask AI to turn the conclusions into a ready document.
- 'Write an EdTech trends overview for a leadership presentation. Brief, with numbers'.
Switching Contexts
Different projects — different notebooks. Switch notebook — switch context. AI sees only the relevant notes.
Goals, audience, hypotheses, design brief. AI answers in the context of this project.
Articles, podcasts, conclusions. Switch — and AI works with this context.
FAQ
Try Smart Notes Right Now
Write your project in a notebook, enable context — and AI will start helping. No setup, no plugins.