Introduction

Welcome to Tempered AI — forged through practice, not hype. A research-backed platform for mastering AI-assisted development.

Two Distinct Learning Paths

We believe using AI tools and building AI systems are different skill sets. A developer using GitHub Copilot doesn’t need to understand cosine similarity, but they do need to master context curation. We separate these paths to prevent cognitive overload.

Track A: Assisted Developer

For developers who want to use AI tools effectively.

Level	Focus	You’ll Learn
1	Foundations & Safety	AI limitations, tokens, context windows, when NOT to use AI
2	Power User Workflows	Context curation, model selection, effective prompting
3	Agentic Supervision	Reviewing agent output, scoped delegation, spec-driven development

Start Track A ~6 hours to complete

Track B: AI Engineer

For developers who want to build AI-powered applications.

Level	Focus	You’ll Learn
4	AI Primitives	Attention, embeddings, structured outputs, type safety
5	Retrieval Systems	RAG pipelines, vector search, chunking strategies
6	Agentic Systems	Tool calling, MCP, agent loops, guardrails, evaluation

Start Track B ~10 hours to complete

The Maturity Assessment

Not sure where to start? Our 12-dimension assessment evaluates your team’s AI-assisted development maturity. It measures Track A skills (using AI tools) and provides personalized recommendations.

Every claim is backed by research from:

DORA State of AI-Assisted Software Development 2025
Veracode GenAI Code Security Report 2025
GitHub/Accenture Enterprise Research 2024-2025
90+ additional sources

Take Assessment 87 questions, ~15 minutes

Simulation Mode Drag sliders to explore

Quick Links

Learning Paths: Assisted Developer | AI Engineer
Exercises: Debug Hallucination | Build RAG | Agent Workflow
Decision Guides: Chat vs RAG vs Agent | Fine-tuning vs RAG
Sources: All Research & Methodology

Forged through practice, not hype.

Tempered AI — Forged Through Practice, Not Hype

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