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Drop Zone

Universal inbox for your project materials - just drop anything and let AI sort it out.

The drop zone is a universal inbox for your project materials. Don't know where to put something? Just drop it in the drop/ folder and let AI analyze and categorize it for you.

What is the Drop Zone?#

The drop zone (drop/) is a special folder within your preseed context that accepts any file type. Instead of manually organizing your files into categorized folders, you can simply drop everything into this single location.

When you run bootspring preseed start and select "Analyze your drop zone files", Bootspring generates an AI-ready prompt that analyzes your files and extracts relevant information for each preseed document.

Location#

.bootspring/preseed/context/ ├── drop/ # Drop anything here - AI sorts it out ├── ideas/ # (optional) Rough ideas, brainstorms ├── research/ # (optional) Market research ├── competitors/ # (optional) Competitor analysis ├── audience/ # (optional) User interviews ├── business/ # (optional) Business model notes └── technical/ # (optional) Technical requirements

How It Works#

1. Drop Your Files#

Put any files related to your project in the drop zone:

1# Create the folder structure 2bootspring preseed setup 3 4# Drop your files 5cp ~/Desktop/pitch-deck.pdf .bootspring/preseed/context/drop/ 6cp ~/Documents/notes.md .bootspring/preseed/context/drop/ 7cp ~/Screenshots/competitor*.png .bootspring/preseed/context/drop/

2. Run Preseed Start#

bootspring preseed start

3. Select "Analyze your drop zone files"#

Bootspring will generate a comprehensive AI prompt based on your files.

4. Use the Generated Prompt#

Copy the prompt and paste it into your AI assistant (ChatGPT, Claude, etc.) to get structured analysis.

Supported File Types#

CategoryExtensionsHow They're Processed
Documents.md, .txtFull text content included
PDFs.pdfNoted as binary, content described
Word.docxNoted as binary, content described
Data.json, .yaml, .csvStructure summarized
Images.png, .jpg, .gifNoted as visual content
Code.js, .ts, .py, etc.Can be analyzed for context
Presentations.pptx, .keyNoted as presentation
Spreadsheets.xlsx, .numbersNoted as data

Example Generated Prompt#

When you select "Analyze your drop zone files", Bootspring generates a prompt like this:

1# Analyze My Project Files 2 3I'm planning a new project and have gathered some materials. 4Please analyze these files and help me extract key information for: 5 61. **Vision** - Problem being solved, solution overview 72. **Audience** - Target users, personas 83. **Market** - Market size, trends, competitors 94. **Business** - Revenue model, pricing ideas 105. **Product** - Features, MVP scope 11 12## Files to Analyze 13 14### pitch-deck.pdf (543KB) 15[Binary file - please describe what you expect this to contain] 16 17### notes.md (2.1KB) 18--- 19# Initial Ideas 20 21- Build a tool for developers 22- Should be CLI-first 23- Pricing: freemium model 24--- 25 26### competitor-screenshot.png (128KB) 27[Image file - screenshot of competitor interface] 28 29### survey-results.csv (45KB) 30[CSV data - user survey responses with 150 rows]

Best Practices#

What to Drop#

  • Pitch decks - Even rough versions help AI understand your vision
  • Notes - Any brainstorming or planning notes
  • Research - Industry reports, market data
  • Screenshots - Competitor interfaces, design inspiration
  • Survey results - User feedback data
  • Business documents - Pricing models, revenue projections
  • Technical specs - Architecture diagrams, API docs

File Naming Tips#

Use descriptive names to help AI understand context:

Good: - competitor-analysis-acme-corp.md - user-interview-john-developer.txt - pricing-strategy-v2.md Less helpful: - doc1.pdf - notes.txt - screenshot.png

Free Tier Usage#

If you're on the free tier without AI generation:

  1. Run bootspring preseed start
  2. Select "Analyze your drop zone files"
  3. Copy the generated prompt
  4. Paste into ChatGPT, Claude, or any AI assistant
  5. Use the AI's analysis to answer the preseed wizard questions

This gives you the same quality of document generation without needing a paid tier.

Integration with Workflow#

After analyzing your drop zone:

1# 1. Run the preseed wizard with context from your files 2bootspring preseed init 3 4# 2. Review generated documents 5bootspring preseed workflow start 6 7# 3. Approve and move to seed phase 8bootspring seed synthesize

Troubleshooting#

"No files found in drop zone"#

Make sure files are in the correct location:

.bootspring/preseed/context/drop/

Not:

.bootspring/context/drop/ # Wrong! .bootspring/drop/ # Wrong!

Binary files not being read#

Binary files (PDFs, images, etc.) are noted but not fully read. The generated prompt asks AI to describe what it expects these files to contain based on their names.

Large files#

Very large files (>10MB) may be summarized rather than fully included in the prompt.

Related#