Running Prompts

Prompts are LLM-based glyphs that generate text using AI models.

How Prompts Work

1. You provide input data
2. The prompt template is filled with your inputs
3. The LLM generates a response
4. You receive formatted output

Running a Prompt

Step 1: Select a Model Tier

Choose the AI model tier based on your needs:

Step 2: Fill Input Fields

Complete the input form based on the glyph’s schema:

• Text fields - Enter text or keywords
• Select fields - Choose from dropdown options
• Number fields - Enter numeric values
• URL fields - Paste valid URLs
• File fields - Upload documents (if supported)

Step 3: Review Cost

The estimated cost is shown based on:

• Selected model tier
• Glyph base price
• Expected output length

Step 4: Execute

Click Run Prompt to execute. The button shows:

• Loading state during execution
• Cost that will be deducted

Viewing Output

Output Panel

Results appear in the console tab:

• Markdown formatted - Headers, lists, code blocks
• Copy button - Copy to clipboard
• Download button - Save as .md file

Examples Tab

View pre-generated examples:

• See what outputs look like before running
• Learn from different input combinations
• Understand the glyph’s capabilities

Buying Prompt Source

Some prompts offer source code purchase:

1. Click Unlock Source ($X.XX)
2. Pay the one-time fee
3. Access the prompt template
4. Use in your own applications

Tips for Best Results

Be Specific

Provide detailed, specific inputs:

• Bad: “DeFi project”
• Good: “Yield aggregator for stablecoin lending on Base”

Choose the Right Tier

• Fast: Simple formatting, short answers
• Balanced: Most tasks, good quality
• Reasoning: Complex analysis, multi-step thinking

Review Examples First

Check the Examples tab to understand:

• Expected input format
• Output quality and format
• Best practices for inputs

Common Prompt Types

Analysis Prompts

Analyze data and provide insights:

• Smart contract review
• Tokenomics analysis
• Market sentiment analysis

Generation Prompts

Create new content:

• Token name generation
• Documentation writing
• Marketing copy

Planning Prompts

Create actionable plans:

• Launch checklists
• Community strategies
• Technical roadmaps

Next Steps

• Running Agents
• Running Tools
• Understanding Pricing