Unlock the Future of AI with Contextual Engineering!
Explore the innovative reference implementations that bridge the “Agentic Gap” for real-world AI agents, as outlined in Tobi Lekan Adeosun’s groundbreaking book, Contextual Engineering: Architecting Adaptable AI Agents for the Real World.
This repository addresses the unique challenges faced by AI in the Global South. Key components include:
- Infrastructure Adapter: Tackles offline states and power limitations.
- Cultural Adapter: Navigates semantic drift and high-context communication.
- Safety Adapter: Implements constitutional guardrails with Human-in-the-Loop workflows.
📂 Repository Highlights:
- Organized by Adapter Layer
- Implements practical solutions through Python
- Includes various chapters like “Sync-Later Architecture” and “Human-in-the-Loop Risk Evaluation Logic”
Join the conversation on adapting AI for all environments!
🔗 Explore and share your insights: [Link to the repository]
Let’s champion a more inclusive, context-sensitive AI future together!
