TAI Labs
For TeamsLive ProgramsFlagshipLightning LessonsFree
Pricing
HomeCoursesSyllabusSession 1The OpenAI API and the Playground
Live

The OpenAI API and the Playground

In the Playground you experiment before you write any code: system versus user messages, temperature and what it actually trades off (consistency versus variation), max tokens, and the token counter that turns cost from an abstraction into a number you watch move.

Get a prompt working here first, then take it to code. Never debug prompt and plumbing at the same time.

Go deeper (optional)

  • Prompting lab (bad vs good demos)
  • OpenAI Playground and API reference
Back to Session 1: Foundations - the reliable reasoning component·Full syllabus

Previous

From model call to reliable component

Next

Module 1.1 - Build your first LLM service

Lessons in this module

  • From model call to reliable component
  • The OpenAI API and the Playground
  • Module 1.1 - Build your first LLM service
  • Module 1.2 - Prompting that ships
  • Module 1.3 - Output guardrails and validation
  • Module 1.4 - Token economics and context budgets
  • Module 1.5 - Choosing the right model
  • Module 1.6 - Context engineering: the throughline
  • Module 1.D1 - Advanced structured outputs and function-calling schemas
  • Module 1.D2 - The provider landscape beyond OpenAI
  • Module T - Token Optimisation
  • Module B - Mastering AI Engineering: the free-resources bridge
  • Session 1 assignment support: Ship Your First AI Endpoint
TAI Labs

Training the AI-Native Workforce. Custom programs that deliver measurable productivity outcomes in weeks.

Operated by Snapdrum

Products

  • TAI for Teams
  • Seats for teams
  • Live Programs
  • Pricing

Learn

  • Blog
  • AI Glossary
  • By Role
  • Tool Guides
  • Compare Tools

Resources

  • Case Studies
  • Free AI Tools
  • ROI Calculator
  • Team AI Playbook
  • Events

Company

  • About
  • Courses
  • Contact

© 2026 TAI Labs

TermsPrivacySecurity