The 2026 AI stack is bigger than ChatGPT. AI tools training done right covers six categories — and most professionals only know two. Here's the 14-day plan to master the full stack.

The 6 stack categories

  1. Frontier models: Claude (Anthropic), GPT-5 (OpenAI), Gemini (Google).
  2. Search-grounded models: Perplexity, Gemini with grounding.
  3. Project / context surfaces: Claude Projects, Custom GPTs, NotebookLM.
  4. Workflow orchestration: Zapier, Make, n8n, MCP.
  5. Vertical tools: Granola (meetings), Cursor (code), Lovable (apps), Suno (audio).
  6. Generative media: Midjourney, Sora, Runway, ElevenLabs.

The 14-day rotation

One day per tool. Day 1: Claude. Day 2: ChatGPT. Day 3: Gemini. Day 4: Perplexity. Day 5: Claude Projects. Day 6: Custom GPTs. Day 7: NotebookLM. Day 8: Zapier basics. Day 9: MCP. Day 10: Granola. Day 11: Cursor (or Lovable for non-coders). Day 12: Midjourney or Sora. Day 13: ElevenLabs. Day 14: Compose a workflow combining 3 tools.

What to ship at the end

By day 14 you should have: a primary model picked, a Project/GPT for one role, a Zapier flow, an MCP integration, and one creative-media artifact. That's a portfolio.

Key takeaway: AI tools training isn't about adding tools — it's about knowing when to reach for which.

The picking discipline

After 14 days, narrow your stack: one primary model, one secondary, one orchestrator, one document tool. The rest you can add as needed. Tool sprawl kills productivity faster than tool absence.

Where to go next

Pair with our prompt engineering coach guide and the workflows guide. The Be Fluent AI portal has tool-by-tool walkthroughs.