How to Build an AI Agent That Turns Random Thoughts into Organized Notion Pages

Stop losing ideas in scattered notes. Build an AI agent that automatically organizes your thoughts and saves you hours of manual sorting.

4 min read
langflownotionaiautomationproductivity

I was losing hundreds of ideas because I never organized them. Now I just dump any thought into this AI agent and it instantly creates a perfectly formatted Notion page with tags, summaries, and clean text. Here's the exact 15-minute build.

AI Note Capture Demo
AI Note Capture Demo
Raw note → AI processing → Organized Notion page in seconds

The Setup (5 minutes)

You need:

  • Notion (free)
  • Langflow Desktop (download here)
  • OpenAI API key ($5 credit is plenty)

1. Create Your Notion Database

Make a new database with these exact fields:

  • Title (Title)
  • Content (Text)
  • Summary (Text)
  • Tags (Multi-select)
  • Created At (Date)

Notion Database Setup
Notion Database Setup

2. Get Notion API Access

  1. Go to notion.so/my-integrations
  2. New Integration → Name it → Copy the token
  3. Share your database with the integration

Notion Integration Setup
Notion Integration Setup

The Build (10 minutes)

Open Langflow Desktop and create this flow:

Complete Langflow Flow
Complete Langflow Flow

Component 1: Text Input

Add Text Input → Name it "Random Note"

Component 2: OpenAI Processing

Add Language Model → OpenAI → Add this system prompt:

You are a writing and organizing assistant.
Rewrite the user's raw text concisely, fix grammar, and preserve meaning. 
Create a clear short title. Generate 1–3 topical tags. Create a brief 1–2 sentence summary. 

Return ONLY valid JSON in this schema:
{
  "title": "string",
  "content": "string", 
  "summary": "string",
  "tags": ["string", ...]
}

Rules:
- Tags: short lowercase phrases, no # or punctuation.
- Never add explanations or extra text outside JSON.

Component 3: JSON to Notion Formatter

Add Simple Notion Props (Custom Component) → Connect to Language Model This converts the AI's JSON into Notion's property format

Custom Component Code (simple_notion_props.py):

python
import json, re
from langflow.custom.custom_component.component import Component
from langflow.io import MessageTextInput, Output
from langflow.schema import Message
from datetime import datetime

class SimpleNotionProps(Component):
    display_name = "Simple Notion Props"
    description = "LLM JSON -> Notion Properties (JSON) as a Message."
    icon = "braces"
    name = "SimpleNotionProps"

    inputs = [
        MessageTextInput(
            name="raw_json",
            display_name="LLM JSON",
            info='LLM output JSON: {"title":"...", "content":"...", "summary":"...", "tags":["..."]}',
            tool_mode=True,
        ),
    ]

    outputs = [
        Output(display_name="Properties (JSON)", name="properties_json", method="build"),
    ]

    def _parse(self, raw: str):
        s = (raw or "").strip()
        # strip ```json fences if present
        s = re.sub(r"^```(?:json)?\s*|\s*```$", "", s, flags=re.I)
        return json.loads(s)

    def build(self) -> Message:
        obj = self._parse(self.raw_json)
        created_at = datetime.utcnow().isoformat()

        props = {
            "Title":   {"title":     [{"text": {"content": (obj.get("title") or "")[:100]}}]},
            "Content": {"rich_text": [{"text": {"content": (obj.get("content") or "")[:2000]}}]},
            "Summary": {"rich_text": [{"text": {"content": (obj.get("summary") or "")[:2000]}}]},
            "Tags":    {"multi_select": [{"name": str(t)[:40]} for t in (obj.get("tags") or [])]},
            "Created At": {"date": {"start": created_at}},
        }

        return Message(text=json.dumps(props))

Component 4: Create Notion Page

Add Create Page (Notion category) → Enter:

  • Your Database ID (from Notion URL)
  • Your Integration Token
  • Connect to Simple Notion Props output

Component 5: Extract & Display URL

Add URL Extractor (Custom Component) → Chat Output Extracts the Notion page URL from the API response

Custom Component Code (url_extractor.py):

python
import json
from langflow.custom.custom_component.component import Component
from langflow.io import DataInput, Output
from langflow.schema import Message, Data

class URLExtractor(Component):
    display_name = "URL Extractor"
    description = "Extract URL from Notion API response"
    icon = "link"
    name = "URLExtractor"

    inputs = [
        DataInput(
            name="notion_data",
            display_name="Notion Data",
            info="The Data object from Notion API response",
        ),
    ]

    outputs = [
        Output(display_name="Page URL", name="page_url", method="extract_url"),
    ]

    def extract_url(self) -> Message:
        try:
            # Get the raw data from the Data object
            response_data = self.notion_data.data
            
            # Extract URL and title
            url = response_data.get("url", "")
            title = response_data.get("properties", {}).get("Title", {}).get("title", [{}])[0].get("text", {}).get("content", "Untitled")
            
            # Return formatted message
            output = f"Created: '{title}'\n{url}"
            return Message(text=output)
            
        except Exception as e:
            return Message(text=f"Error extracting URL: {str(e)}")

Real Examples

Input: "need to refactor the user auth flow its getting messy with all the oauth providers maybe use passport.js or auth0"

Output in Notion:

  • Title: Refactor Authentication Flow
  • Content: The user authentication flow needs refactoring due to complexity from multiple OAuth providers. Consider implementing Passport.js or Auth0 for cleaner integration.
  • Tags: #backend #authentication #refactoring
  • Summary: Authentication system needs restructuring to handle OAuth providers more efficiently.

Real-time Demo
Real-time Demo

Make It Yours

Voice Input: Connect any speech-to-text tool
Batch Mode: Process multiple notes at once
Smart Tags: Train it on your existing tags
Auto-scheduling: Add calendar integration for time-based notes

The Files

Complete flow file and setup guide: github.com/huiskylabs/AI-notes-capture-organizer


Built this in 15 minutes. Saved me hours already. Your messy notes deserve better.

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