User Guide
- Manage Prompts
- Create Prompt
- Edit Version
- Generate Version
- Rename Version
- Delete Version
- Set Primary Version
- Compare Versions
- Token Count and Cost
- Update Prompt Use Case
- Copy Prompt to Workspace
- Move Prompt to Workspace
- Optimize Prompts
- Prompt Scoring
- Scoring Criteria
- Prompt Risk
- Prompt Balance
- Prompt Heatmap
- Connect AI Providers
- AI21 Labs
- Amazon Bedrock
- Anthropic
- Azure OpenAI
- Azure Serverless
- Cohere
- Deep Infra
- Fireworks AI
- Google Gemini
- Groq
- Hugging Face
- Hyperbolic
- Lambda
- Meta
- Mistral
- Moonshot AI
- OpenAI
- Perplexity
- Together AI
- xAI
Optimize Prompts
Zatomic provides a suite of prompt optimization tools to analyze and improve your prompts so that they produce consistent, reliable results for your use cases. Use these tools to eliminate the guesswork and long trial-and-error cycles of trying to craft great prompts. Optimize your prompts before you get to production and save yourself hours of time per prompt.
Tip: All prompt optimization is performed on prompt versions, but the use case from their parent prompt is an important part of the analysis for each tool.
| Description | Why It Matters | |
|---|---|---|
| Prompt Scoring | Calculates a prompt quality score and ranking. Prompts are scored 0 - 100 and includes a report with actionable insights for how to improve the prompt. | Provides an objective quality score and ranking based on a selected set of criteria. |
| Scoring Criteria | Used by the prompt scoring tool to determine how well a prompt satisfies the specified set of criteria. Can be generated and customized for any business requirements. | Allows you to target your scoring and analysis specific to your company's use cases. |
| Prompt Risk | Analyzes a prompt to identify any possible bias, ethical concerns, or safety issues. Particularly useful for system prompts that could be the source of improper responses. | Important for responsible AI initiatives and to eliminate content safety issues that could damage your brand and reputation. |
| Prompt Balance | Assigns parts of the prompt to one of 4 categories and determines if their distribution is either just right, overused, or underused. Shows if one category is more heavily used than others or if a certain category isn't used enough. | Reduces overly verbose responses (and token waste) and helps responses stay on target. |
| Prompt Heatmap | Shows how much attention the model gives each phrase or sentence in a prompt. Each part of a prompt is assigned a color designating the attention weight given to it by the model. | Ensures you and the model are aligned as to what's most important in a given prompt. |