Chapter 310

Adapting to New AI Models

1 min read

The Model Mastery Framework

```text RAPID MODEL ADAPTATION PROTOCOL:

PHASE 1: RECONNAISSANCE (2 hours) 1. Core Capabilities Assessment - What's new/different? - What's similar to known models? - Unique strengths/limitations - Best use cases

2. Quick Experimentation - Test basic prompts - Identify response patterns - Note personality/style - Find edge cases

3. Documentation Review - Official guidelines - Community discoveries - Known limitations - Best practices

PHASE 2: TRANSLATION (4 hours) 1. Prompt Migration - Test top 10 prompts - Note what breaks - Adapt syntax/style - Document changes

2. Pattern Recognition - Response formatting preferences - Instruction interpretation - Context handling - Output tendencies

3. Optimization Opportunities - New capabilities to leverage - Old limitations removed - Performance improvements - Feature combinations

PHASE 3: INTEGRATION (1 day) 1. Workflow Updates - Revise prompt library - Update templates - Adjust chains - Test extensively

2. Knowledge Synthesis - Compare models - Build translation guides - Create quick references - Share learnings ```text

Universal Prompt Principles

```text MODEL-AGNOSTIC MASTERY:

CORE PRINCIPLES (Work Everywhere): 1. Clarity beats cleverness 2. Context enables accuracy 3. Examples guide behavior 4. Constraints focus output 5. Iteration improves results

ADAPTATION STRATEGIES:

For Instruction-Following Models: - Direct, clear commands - Structured formats - Explicit requirements - Step-by-step breakdowns

For Conversational Models: - Natural dialogue flow - Context building - Personality engagement - Collaborative refinement

For Specialized Models: - Domain-specific language - Technical precision - Format alignment - Capability focus

UNIVERSAL TEMPLATE: [Adapt based on model type] Core: {What you want} Context: {Relevant background} Constraints: {Specific requirements} Format: {Output structure} Examples: {If helpful} ```text