Dhyey Mavani
Guest author
Dhyey Mavani is accelerating generative AI and computational mathematics. He regularly shares his experiences with AI systems, computational mathematics, economics and product management.
Shadow mode, drift alerts and audit logs: Inside the modern audit loop
AI governance needs real-time compliance. Audit loops help organizations monitor AI systems continuously, ensuring safety and legal defensibility.
Dhyey Mavani
Why “which API do I call?” is the wrong question in the LLM era
Model Context Protocol shifts software interfaces from code to language, enabling intent-based requests and reducing integration complexity for enterprises.
Dhyey Mavani
Why most enterprise AI coding pilots underperform (Hint: It's not the model)
Agentic coding moves beyond autocomplete, requiring context engineering for success. GitHub's tools show the importance of structured environments.
Dhyey Mavani
Lean4: How the theorem prover works and why it's the new competitive edge in AI
Lean4 uses formal verification to enhance AI reliability, providing deterministic outputs crucial for sectors like finance and medicine, where accuracy is vital.
Dhyey Mavani
The teacher is the new engineer: Inside the rise of AI enablement and PromptOps
Skipping AI onboarding can lead to legal and security risks. Proper governance and training are essential for effective AI deployment in enterprises.
Dhyey Mavani