AI Insights

BlaBlaNote uses artificial intelligence to transform your conversations into actionable insights. From automatic summaries to intelligent meeting briefs, AI helps you get more value from every interaction.

AI Summary

Auto-generated

Team discussed Q1 planning objectives with focus on customer retention strategies. Sarah proposed implementing a new engagement framework. Mike volunteered to prepare comprehensive market analysis. Action items include scheduling budget review meeting and finalizing resource allocation plans.

Key Topics

Customer Retention Q1 Planning Engagement Framework Market Analysis Budget Review

Smart Suggestions

• Create task: Schedule budget review meeting
• Send follow-up email to Sarah and Mike
• Add tags: Planning, Q1, Strategy

Overview

AI-powered features in BlaBlaNote:

• Automatic Summaries - Concise summaries of transcriptions
• Reminders - The context worth carrying into the next conversation
• Pre-Event Intelligence - Context before meetings
• Smart Suggestions - Recommended actions and follow-ups
• Language Detection - Automatic identification of spoken language

Automatic Summaries

What It Does

After every transcription completes, BlaBlaNote's AI automatically:

1. Analyzes the full transcription
2. Identifies key points and themes
3. Generates a concise summary
4. Highlights important information

Viewing Summaries

1. Open any interaction with completed transcription
2. Find the AI Summary section
3. Read the condensed version of your conversation

Summary Contents

A typical summary includes:

• Main topics - What was discussed
• Key decisions - Conclusions reached
• Action items - Tasks mentioned
• Participants - Who was there, and who was only mentioned

Example Summary

Meeting Summary

Discussion focused on Q4 product roadmap. Key decisions: prioritize mobile app features over web dashboard improvements. Action items include: preparing user research report (John, by Friday), scheduling design review (Sarah, next week). Budget increase of 15% approved for engineering team.

Reminders

What It Does

Beside the summary, the AI writes a short list of things worth carrying into the next conversation. They are notes about other people, not things for you to do:

• Who actually decides, when that turns out not to be the person you were talking to
• A deadline said out loud that is in nobody's calendar
• Something to find out before you meet again
• A constraint that shapes what you can offer

Anything you committed to becomes a task instead, on the Tasks tab of the same interaction. The split is deliberate: a reminder is context, a task is work.

Viewing Reminders

1. Open an interaction with a completed transcription
2. Find the Reminders section, under the summary

The summary, the reminders, and the recording it all came from.

Pre-Event Intelligence

What It Does

Before calendar events, AI generates comprehensive meeting briefs:

1. Identifies event attendees
2. Finds matching contacts in your database
3. Reviews recent interactions with each attendee
4. Summarizes relationship history
5. Highlights important context

What's Included

A pre-event brief contains:

Attendee Profiles

• Contact information
• Role and company
• Relationship type

Recent Interactions

• Last few conversations
• Key topics discussed
• Decisions made

Outstanding Items

• Open tasks related to attendees
• Pending action items
• Follow-up reminders

Relationship Context

• How you met
• Shared connections
• Important dates

Example Pre-Event Brief

Meeting: Product Demo with Acme CorpTomorrow at 2:00 PM

Attendees:

John Smith - VP of Engineering, Acme Corp

• Last spoke: 2 weeks ago (product overview call)
• Key interest: Integration capabilities
• Outstanding: Send API documentation

Sarah Johnson - Product Manager, Acme Corp

• Last spoke: 1 month ago (initial discovery)
• Key interest: Reporting features
• Note: Mentioned budget approval in Q4

Suggested talking points:

• Follow up on integration requirements
• Demo reporting features for Sarah
• Discuss implementation timeline

Getting Better Briefs

To improve pre-event intelligence:

• Consistently link interactions to contacts
• Keep contact information current
• Record interactions promptly
• Add notes with important context

Where to read it

The brief is written for the two minutes before you walk in, so it is built for a phone: open the event, go to Attendees, and pick the person you actually need. There is an event-level brief as well, but the attendee one is the one that names things — the task still open from a different conversation, the week they take off every September.

The brief for one attendee, read on the way in.

Smart Suggestions

Task Suggestions

AI identifies potential action items from conversations:

• "Call John about the proposal"
• "Send pricing document by Friday"
• "Schedule follow-up meeting"

When detected, you'll see:

1. Suggested task in the interaction
2. Click to create as an actual task
3. Edit details as needed

Contact Suggestions

AI may suggest:

• Creating new contacts for mentioned names
• Linking interactions to existing contacts
• Updating contact information

Follow-up Suggestions

Based on conversation content:

• Recommended follow-up timing
• Suggested next steps
• Related interactions to review

Language Detection

Automatic Detection

BlaBlaNote automatically detects the language being spoken:

1. Audio is analyzed during transcription
2. Language is identified
3. Appropriate transcription model is used
4. Results in higher accuracy

Supported Languages

AI language detection supports all 12 available languages:

• English (US, UK, Australian)
• Spanish
• Catalan
• Basque
• Galician
• German
• French
• Italian
• Portuguese
• Dutch
• Greek
• Swedish

Multi-Language Interactions

For conversations in multiple languages:

• AI detects language switches
• Each segment transcribed appropriately
• Combined into unified transcription

AI Processing

How It Works

BlaBlaNote uses advanced language models:

1. Transcription - AWS Transcribe for speech-to-text
2. Analysis - Large language models for understanding
3. Generation - AI creates summaries and insights
4. Extraction - Key information is identified

Processing Time

AI processing typically takes:

• Short recordings (< 5 min): 1-2 minutes
• Medium recordings (5-30 min): 2-5 minutes
• Long recordings (30+ min): 5-10 minutes

Privacy & Security

Your data is protected:

• Transcriptions encrypted in transit and at rest
• AI processing uses secure, compliant services
• No data used to train external models
• Full data deletion available

Customization

Transcription Vocabulary

Improve AI accuracy with custom vocabulary:

1. Go to Settings > Transcription
2. Add custom words and phrases
3. Include names, technical terms, product names
4. AI uses this for better recognition

Language Preferences

Set your preferred languages:

1. Go to Settings > Transcription
2. Select default language
3. Add additional languages
4. AI prioritizes these in detection

Tips for Best Results

Recording Quality

Better audio = better AI:

• Use a good microphone
• Minimize background noise
• Speak clearly
• Position mic appropriately

Clear Speech

Help AI understand:

• Pronounce names distinctly
• Spell out unusual terms when needed
• Avoid talking over others
• Pause between topics

Consistent Use

AI improves with more data:

• Record regularly
• Link contacts consistently
• Review and correct transcriptions
• Provide feedback on summaries

Limitations

What AI Cannot Do

• Real-time transcription - Processing happens after recording
• Speaker identification - Cannot always distinguish speakers
• Perfect accuracy - Some errors in transcription possible
• Confidential content - AI processes all audio equally

When to Review

Always review AI outputs for:

• Important business decisions
• Legal or compliance matters
• Sensitive personal information
• Critical accuracy requirements