cyberneticlibrary

Turn AI APIs into defensible paid products

ai-wrapper-productskillsetup L20
Sheshiyer/skill-clusters
What it does

Build defensible AI wrapper products

Best for

Production LLM features where validation and caching prevent probabilistic failures from reaching users.

Inputs
  • · User input
  • · Configuration
Outputs
  • · Processed output
  • · Metrics
Requires
  • · Anthropic API
  • · OpenAI API
Preconditions
  • · External services configured
  • · Input parameters validated
  • · Required dependencies available
Failure modes
  • · Service timeout or unavailable
  • · Invalid input format
  • · Resource exhaustion
  • · Version incompatibility
Trust signals
  • · Safety constraints explicitly defined
  • · Test/validation patterns documented
  • · Error handling patterns specified
  • · Semantic versioning in use
  • · Concrete examples provided