Building Eco-Friendly AI Workflows

Green AI Best Practices\n\n### Choosing Efficient Models\n1. Simple Tier First: Use GPT-4o-mini or Claude Haiku for routine tasks\n2. Local When Possible: Ollama has zero cloud emissions\n3. Batch Operations: Reduce overhead by processing in batches\n\n### Workflow Optimization\n- Use caching nodes to avoid redundant processing\n- Implement conditional branches to skip unnecessary steps\n- Choose appropriate model tiers for each node\n- Monitor cumulative emissions in dashboard\n\n### Model Efficiency Rankings\n1. Local (Ollama) - 0 emissions\n2. Claude Haiku - Lowest cloud emissions\n3. GPT-4o-mini - Very efficient\n4. GPT-4o - Balanced\n5. Claude Sonnet - Moderate\n6. o1/Claude Opus - Use sparingly\n\n### Tracking Your Impact\n- View per-execution emissions\n- Monitor monthly totals\n- Set emission goals\n- Export reports for offsetting