TeacHER Explains: What are tools, memory, and planning in AI agents?
Tools let agents act, memory helps them keep context, and planning helps them break a goal into steps that can…
TeacHER Explains: What can AI agents actually do?
AI agents can help with realistic multi-step work such as research, coding support, content QA, data checks, and routine automation.
TeacHER Explains: AI agent vs chatbot: what is the difference?
A chatbot mainly responds to messages. An AI agent can use a loop of planning, action, observation, and review to…
TeacHER Explains: Local AI privacy and safety checklist
A practical checklist for using local AI at home safely: privacy, file access, tool connections, hallucinations, updates, and responsible expectations.
TeacHER Explains: What hardware do you need for local AI?
A clear beginner guide to local AI hardware: RAM, VRAM, CPUs, GPUs, laptops, mini PCs, and what really matters before…
TeacHER Explains: How to run local AI at home with Ollama
A practical beginner guide to running your first local AI chat at home with Ollama, without turning it into a…
TeacHER Explains: What are local AI models?
A beginner-friendly explanation of local AI models: what they are, where they run, why model size matters, and what to…
TeacHER Explains: How to use AI for coding safely
A practical safety checklist for beginners using AI coding assistants, CLI tools, or coding agents.
TeacHER Explains: What is a coding agent?
A practical beginner explanation of coding agents: AI systems that can plan, edit files, run commands, and work toward software…
TeacHER Explains: What is an AI coding assistant?
A beginner-friendly explanation of AI coding assistants, from autocomplete to chat-based help inside your editor.