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AI system design guide for engineers building production AI systems and evals.

Interview questions and prep for AI Engineer, LLM Engineer, and Applied AI roles. Built for software engineers breaking into AI and ML practitioners levelling up: company-specific question sets, role-based study maps, worked answers, and from-scratch coding challenges.

AI-powered audio transcription tool using OpenAI Whisper. Convert speech to text with support for 8+ formats, batch processing, and multilingual transcription. Python CLI tool for developers.

A complete, verified guide to becoming an AI Product Manager and passing AI PM interviews: LLM and ML foundations, evals, RAG, agents, product craft, 7 industry domains, sourced case studies, a 160+ question interview bank, and career resources. Every fact sourced, no hallucinations.

It is based on Google STT API. The app simply takes your audio as input through the mic and then uses google api to convert it to text in real time. It may be used online or offline based on the language packages you have installed in your phone.

A free, structured guide for the engineering manager who needs to learn AI fast. Eleven modules take you from LLMs and RAG to hiring, evaluation and strategy, with 100 AI interview questions and the templates you need to build and manage AI teams. No ML background required.