My Next Big Idea Generator

This workflow generates personalized tech startup ideas for developers:

1. Form Input: Collects developer skills and preferences

2. Data Preparation: Structures the data for AI processing

3. AI Generation: Creates detailed, actionable startup ideas

4. Email Delivery: Sends formatted idea with resources

Setup Required:

- Configure Claude or OpenAI credentials

- Set up Gmail for email

- (option 1) Deploy and share the form URL

- (option 2) Fill out My Information node with your data, and activate the workflow to receive an idea once a day

🎯 Input Triggers

Three ways to run this workflow:

1. 📝 Form Trigger: External users fill out form

- Share the webhook URL publicly

- Automatically processes submissions

2. ⏰ Daily Schedule: Runs at 9 AM daily

- Uses "My Information" data

- Great for personal daily inspiration

3. 🖱️ Manual Trigger: Run on-demand

- Click to test the workflow

- Uses "My Information" data

Setup Tip: Fill out "My Information" node with your personal data for testing and daily runs.

⚙️ Critical Setup Steps

1. API Credentials:

- Anthropic API: Required for all AI models

- Gmail OAuth2: Required for email sending

2. Email Configuration:

- Update recipient email in "Send Startup Idea via Email" node

- Test email delivery before going live

3. Personal Data:

- Fill out "My Information" node completely

- This data is used for scheduled/manual runs

4. Form Deployment (Optional):

- Copy webhook URL from Form trigger

- Share publicly for external submissions

5. Testing:

- Use Manual trigger to test end-to-end

- Check email delivery and formatting

- Verify all AI agents produce valid JSON

Pro Tip: Run manual test first before enabling daily schedule!

🤖 AI Agent Pipeline

Three-stage analysis system:

Agent 1: Idea Generator 🧠

- Temperature: 0.7 (creative)

- Purpose: Creates innovative startup concepts

- Output: Structured idea with business details

Agent 2: Market Critic 🔍

- Temperature: 0.3 (analytical)

- Purpose: Critical market analysis

- Evaluates: Competition, risks, feasibility

Agent 3: Sentiment Analyzer 📊

- Temperature: 0.2 (precise)

- Purpose: Synthesizes final recommendation

- Provides: Balanced decision framework

Setup Required:

- Add Anthropic API credentials to all three models

- Each agent has its own model and parser for reliability

📊 Output Processing

Merge Analysis:

- Purpose: Combines all three AI outputs

- Critical: Ensures all data flows to aggregator

Data Aggregation:

- Function: Master data processor

- Creates: Composite scores, routing flags

- Calculates: Final recommendations

- Key Logic:

- Composite score = (innovation + viability + success/10) ÷ 3

- Routing flags determine email sending

Email Creator:

- Input: Aggregated analysis data

- Output: HTML and text email content

- Features: Formatted report with scores, risks, opportunities

Gmail Send:

- Requirement: Configure Gmail OAuth2 credentials

- Recipient: Update email address in node settings

- Content: Rich HTML startup analysis report

🔧 Technical Notes

Output Parsers:

- Purpose: Ensure valid JSON from AI

- Schema: Predefined structure for each agent

- Error Handling: Prevents workflow failures

Temperature Settings:

- 0.7: Creative idea generation

- 0.3: Balanced critical analysis

- 0.2: Precise sentiment scoring

Data Flow:

Form/Schedule → Prepare → AI Chain → Merge → Aggregate → Email

Common Issues:

- JSON Parse Errors: Check output parser schemas

- Missing Data: Ensure all required fields filled

- Email Failures: Verify Gmail credentials

- API Limits: Monitor Anthropic usage

Debug Tip: Check execution logs if workflow fails

Some of Input Information Explanation:

- Time commitment is for how much hours weekly you would put aside for this

- Budget Range: One time investment you could afford to invest in the idea

🔧 Data Preparation Zone

Purpose: Convert raw input into structured data for AI agents

"My Information" Node:

- Required: Fill in all fields with your details

- Used by: Scheduled and manual triggers

- Tip: Update this periodically as your skills grow

"Prepare Data" Node:

- Function: Normalizes data structure

- Input: Form data OR "My Information" data

- Output: Clean JSON object with developer profile

- Important: This ensures consistent data format regardless of input source

🚀 Enhancement Ideas

Future Improvements:

- Database Storage: Save all analyses for tracking

- Analytics Dashboard: View trends over time

- Slack Integration: Send reports to team channels

- Conditional Logic: Only email high-scoring ideas

- Market Research: Auto-fetch competitor data

- Idea Tracking: Follow up on promising concepts

Scaling Options:

- Multiple Recipients: Send to team/investors

- Industry Focus: Specialized prompts per sector

- A/B Testing: Different prompt variations

- Feedback Loop: Rate ideas to improve prompts

Next Steps: Start simple, then add features based on usage patterns

Sophia Lee

Aditya Mishra