Antigravity Best Practices
Maximize your productivity with optimization tips, cost management strategies, team collaboration patterns, and solutions to common pitfalls.
Optimization Tips
Follow these guidelines to get the best performance and quality from your Antigravity workflows:
1. Start Simple, Then Iterate
Begin with a minimal workflow that accomplishes the core task, then add complexity incrementally. This makes debugging easier and ensures each step works before adding the next.
2. Use Specific Prompts
The quality of AI-generated output depends heavily on the clarity of your prompts. Vague instructions produce inconsistent results.
# Bad: Vague prompt prompt: "Write about AI" # Good: Specific prompt with constraints prompt: | "Write a 1000-word article about the impact of AI on healthcare diagnostics. Target audience: hospital administrators. Tone: professional but accessible. Include 3 real-world examples and a conclusion with actionable recommendations."
3. Leverage Parallel Execution
When workflow steps are independent of each other, run them in parallel to dramatically reduce total execution time.
4. Cache Intermediate Results
Enable caching for expensive operations like web research or image generation. This avoids re-running costly steps when iterating on downstream tasks.
5. Choose the Right Model for Each Step
Not every step needs the most powerful model. Use lighter models for simple tasks to save cost and time:
| Task Type | Recommended Model | Why |
|---|---|---|
| Data formatting | Gemini Flash | Fast and cheap for simple transformations |
| Content writing | Gemini Pro | Good balance of quality and cost |
| Complex analysis | Gemini Ultra | Best reasoning for difficult tasks |
| Image generation | Imagen 3 | Highest quality image output |
| Code generation | Gemini Pro | Strong coding capabilities at reasonable cost |
Managing Complex Workflows
As your workflows grow in complexity, follow these organizational practices:
- Modular Design: Break large workflows into smaller, reusable sub-workflows. This improves maintainability and enables reuse across projects.
- Naming Conventions: Use clear, descriptive names for workflows, steps, and variables. Future you will thank present you.
- Documentation: Add comments and descriptions to every workflow step explaining its purpose and expected inputs/outputs.
- Version Control: Use Antigravity's built-in versioning to track changes. Tag stable versions before making major modifications.
- Testing: Create test inputs that exercise edge cases and run them before deploying workflow changes to production.
Cost Management
AI-powered workflows consume resources. Here's how to keep costs under control:
-
Set Budget Limits
Configure per-workflow and per-project spending limits in your workspace settings to prevent runaway costs.
-
Monitor Usage Dashboards
Review the usage dashboard regularly to identify which workflows and steps consume the most resources.
-
Use Scheduling Wisely
Run scheduled workflows during off-peak hours when possible, and avoid unnecessary frequency (e.g., daily when weekly suffices).
-
Optimize Token Usage
Trim unnecessary context from prompts, use concise instructions, and limit output lengths to what you actually need.
Team Collaboration
When working with a team on Antigravity workflows, establish these practices:
- Shared Template Library: Create a team-approved set of workflow templates that enforce best practices and naming conventions.
- Review Process: Implement a review process for new workflows before they're used in production, similar to code reviews.
- Access Control: Use role-based permissions to ensure team members have appropriate access levels.
- Knowledge Sharing: Document successful workflows and share learnings through team wikis or Antigravity's built-in comments.
Common Pitfalls
Avoid these frequently encountered mistakes:
| Pitfall | Problem | Solution |
|---|---|---|
| Over-engineering | Building workflows that are too complex for the task | Start simple and add complexity only when needed |
| No error handling | Workflows fail silently or crash on unexpected inputs | Add fallback steps and validation at each stage |
| Ignoring outputs | Running workflows without reviewing results | Always include a human review step for critical outputs |
| Hardcoded values | Workflows break when conditions change | Use variables and configuration for all dynamic values |
| No testing | Production workflows produce unexpected results | Test with sample data and edge cases before deploying |
Frequently Asked Questions
Antigravity offers a free tier with limited workflow runs per month. Paid plans are based on usage (compute time, API calls, and storage). Check the pricing page for current rates. Google Workspace subscribers may receive additional credits.
Yes. Antigravity's plugin ecosystem supports hundreds of third-party integrations including Slack, Notion, GitHub, Figma, Salesforce, and more. You can also connect to custom APIs using the HTTP request node.
Antigravity follows Google's enterprise security standards. Data is encrypted in transit and at rest, and you can configure data residency preferences. Enterprise plans include additional compliance certifications (SOC 2, HIPAA, etc.).
By default, the workflow pauses at the failed step and notifies you. You can configure automatic retries, fallback paths, or error-handling steps. The execution log provides detailed information about what went wrong.
Yes. Workflows can be triggered on a schedule (hourly, daily, weekly, or custom cron expressions), by events (e.g., new file in Google Drive, new email), or via API calls from your own applications.
While Zapier and Make excel at simple trigger-action automations, Antigravity focuses on AI-native workflows. It can handle creative content generation, intelligent data analysis, and multi-step reasoning tasks that traditional automation tools cannot. Think of it as automation with intelligence rather than just connectivity.
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