DevNeuroX Journal
Blog
Founder AI assistant: memory, tasks and context
A personal AI assistant is not a chatbot, but a working layer with memory, tools, digests and action control.
AI agents: how bots remove routine work
AI agents do not replace people. They remove operations: email, tasks, deadlines, documents, meetings and context gathering.
How to write prompts that make AI useful
A prompt is a task brief for the model: context, task, format, constraints and quality criteria instead of magic phrases.
How to work with AI models: models and context
AI usually fails not because it is useless, but because the wrong model is chosen, the context is weak, or the chat is already overloaded.
Digital Shadow: an AI assistant for founder task chaos
Calendars and task trackers do not solve context by themselves. Digital Shadow turns memory, meetings, tasks and reflection into a working founder system.
RAG and vector databases: semantic search for business
RAG is useful when teams drown in PDFs, catalogs, manuals and specs. A practical guide to architecture, value, limitations and implementation mistakes.
Prompts, RAG or LoRA: what should a business choose?
Prompts, RAG and LoRA solve different problems. Here is when instructions are enough, when you need a knowledge base, and when tuning helps.
Why AI without memory starts from zero every day
AI without memory makes you explain projects again. I added vector memory to Digital Shadow so the agent retrieves facts and decisions itself.
Digital Shadow v1.0: personal AI memory for a founder
Digital Shadow is my digital double for tasks, people, files and decisions: not another chatbot, but external working memory for a founder.